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You searched for subject:(Belief Propagation). Showing records 1 – 30 of 98 total matches.

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Cornell University

1. Tian, Yuan. A Parallel Implementation Of Hierarchical Belief Propagation.

Degree: M.S., Electrical Engineering, Electrical Engineering, 2013, Cornell University

 Though Belief Propagation (BP) algorithms generate high quality results for a wide range of Markov Random Field (MRF) formulated energy minimization problems, they require large… (more)

Subjects/Keywords: Belief Propagation; Graphical Models; Parallelism

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APA (6th Edition):

Tian, Y. (2013). A Parallel Implementation Of Hierarchical Belief Propagation. (Masters Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/34099

Chicago Manual of Style (16th Edition):

Tian, Yuan. “A Parallel Implementation Of Hierarchical Belief Propagation.” 2013. Masters Thesis, Cornell University. Accessed October 27, 2020. http://hdl.handle.net/1813/34099.

MLA Handbook (7th Edition):

Tian, Yuan. “A Parallel Implementation Of Hierarchical Belief Propagation.” 2013. Web. 27 Oct 2020.

Vancouver:

Tian Y. A Parallel Implementation Of Hierarchical Belief Propagation. [Internet] [Masters thesis]. Cornell University; 2013. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/1813/34099.

Council of Science Editors:

Tian Y. A Parallel Implementation Of Hierarchical Belief Propagation. [Masters Thesis]. Cornell University; 2013. Available from: http://hdl.handle.net/1813/34099


University of Toronto

2. Lee, Jefferson. Stochastic Modelling of a Collection of Correlated Sparse Signals and its Recovery via Belief Propagation Methods.

Degree: 2011, University of Toronto

The field of compressive sensing deals with the recovery of a sparse signal from a small set of measurements or linear projections of the signal.… (more)

Subjects/Keywords: Compressive Sensing; Belief Propagation; 0544

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APA (6th Edition):

Lee, J. (2011). Stochastic Modelling of a Collection of Correlated Sparse Signals and its Recovery via Belief Propagation Methods. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/31300

Chicago Manual of Style (16th Edition):

Lee, Jefferson. “Stochastic Modelling of a Collection of Correlated Sparse Signals and its Recovery via Belief Propagation Methods.” 2011. Masters Thesis, University of Toronto. Accessed October 27, 2020. http://hdl.handle.net/1807/31300.

MLA Handbook (7th Edition):

Lee, Jefferson. “Stochastic Modelling of a Collection of Correlated Sparse Signals and its Recovery via Belief Propagation Methods.” 2011. Web. 27 Oct 2020.

Vancouver:

Lee J. Stochastic Modelling of a Collection of Correlated Sparse Signals and its Recovery via Belief Propagation Methods. [Internet] [Masters thesis]. University of Toronto; 2011. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/1807/31300.

Council of Science Editors:

Lee J. Stochastic Modelling of a Collection of Correlated Sparse Signals and its Recovery via Belief Propagation Methods. [Masters Thesis]. University of Toronto; 2011. Available from: http://hdl.handle.net/1807/31300


University of Illinois – Urbana-Champaign

3. Yang, Qingxiong. Robust and efficient image-based 3D modeling.

Degree: PhD, 1200, 2011, University of Illinois – Urbana-Champaign

 In this dissertation, I report the progress towards building a robust and efficient 3D reconstruction system based on stereo vision. Stereo vision is known to… (more)

Subjects/Keywords: Stereo Matching; Bilateral Filter; Belief Propagation

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APA (6th Edition):

Yang, Q. (2011). Robust and efficient image-based 3D modeling. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18553

Chicago Manual of Style (16th Edition):

Yang, Qingxiong. “Robust and efficient image-based 3D modeling.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 27, 2020. http://hdl.handle.net/2142/18553.

MLA Handbook (7th Edition):

Yang, Qingxiong. “Robust and efficient image-based 3D modeling.” 2011. Web. 27 Oct 2020.

Vancouver:

Yang Q. Robust and efficient image-based 3D modeling. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2142/18553.

Council of Science Editors:

Yang Q. Robust and efficient image-based 3D modeling. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18553


Brno University of Technology

4. Raab, Filip. Hloubková mapa z dvojice obrazů: Depth Map from a Pair of Images.

Degree: 2018, Brno University of Technology

 This thesis describes the process of creating a depth map. It is based on creating disparity map. In theoretical chapters are described basic methods creating… (more)

Subjects/Keywords: Hloubková mapa. Mapa disparit. Loopy belief propagation; CSAD. CGRAD.; Depth map. Disparity map. Loopy belief propagation. CSAD. CGRAD

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APA (6th Edition):

Raab, F. (2018). Hloubková mapa z dvojice obrazů: Depth Map from a Pair of Images. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54950

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Raab, Filip. “Hloubková mapa z dvojice obrazů: Depth Map from a Pair of Images.” 2018. Thesis, Brno University of Technology. Accessed October 27, 2020. http://hdl.handle.net/11012/54950.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Raab, Filip. “Hloubková mapa z dvojice obrazů: Depth Map from a Pair of Images.” 2018. Web. 27 Oct 2020.

Vancouver:

Raab F. Hloubková mapa z dvojice obrazů: Depth Map from a Pair of Images. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/11012/54950.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Raab F. Hloubková mapa z dvojice obrazů: Depth Map from a Pair of Images. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/54950

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

5. Planjery, Shiva Kumar. Iterative decoding beyond belief propagation for low-density parity-check codes : Décodage itératif pour les codes LDPC au-delà de la propagation de croyances.

Degree: Docteur es, STIC (sciences et technologies de l'information et de la communication) - Cergy, 2012, Cergy-Pontoise; University of Arizona

 Les codes Low-Density Parity-Check (LDPC) sont au coeur de larecherche des codes correcteurs d'erreurs en raison de leur excellenteperformance de décodage en utilisant un algorithme… (more)

Subjects/Keywords: Ldpc; Propagation de croyances; Trapping sets; Décodage itératif; Ldpc; Belief propagation; Trapping sets

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Planjery, S. K. (2012). Iterative decoding beyond belief propagation for low-density parity-check codes : Décodage itératif pour les codes LDPC au-delà de la propagation de croyances. (Doctoral Dissertation). Cergy-Pontoise; University of Arizona. Retrieved from http://www.theses.fr/2012CERG0618

Chicago Manual of Style (16th Edition):

Planjery, Shiva Kumar. “Iterative decoding beyond belief propagation for low-density parity-check codes : Décodage itératif pour les codes LDPC au-delà de la propagation de croyances.” 2012. Doctoral Dissertation, Cergy-Pontoise; University of Arizona. Accessed October 27, 2020. http://www.theses.fr/2012CERG0618.

MLA Handbook (7th Edition):

Planjery, Shiva Kumar. “Iterative decoding beyond belief propagation for low-density parity-check codes : Décodage itératif pour les codes LDPC au-delà de la propagation de croyances.” 2012. Web. 27 Oct 2020.

Vancouver:

Planjery SK. Iterative decoding beyond belief propagation for low-density parity-check codes : Décodage itératif pour les codes LDPC au-delà de la propagation de croyances. [Internet] [Doctoral dissertation]. Cergy-Pontoise; University of Arizona; 2012. [cited 2020 Oct 27]. Available from: http://www.theses.fr/2012CERG0618.

Council of Science Editors:

Planjery SK. Iterative decoding beyond belief propagation for low-density parity-check codes : Décodage itératif pour les codes LDPC au-delà de la propagation de croyances. [Doctoral Dissertation]. Cergy-Pontoise; University of Arizona; 2012. Available from: http://www.theses.fr/2012CERG0618


University of Texas – Austin

6. Yoo, Yong Seok. Multi-scale error-correcting codes and their decoding using belief propagation.

Degree: PhD, Electrical and Computer Engineering, 2014, University of Texas – Austin

 This work is motivated from error-correcting codes in the brain. To counteract the effect of representation noise, a large number of neurons participate in encoding… (more)

Subjects/Keywords: Error-correcting codes; Neural codes; Belief propagation; Affinity propagation; Graphical models; Network information theory

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APA (6th Edition):

Yoo, Y. S. (2014). Multi-scale error-correcting codes and their decoding using belief propagation. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/24842

Chicago Manual of Style (16th Edition):

Yoo, Yong Seok. “Multi-scale error-correcting codes and their decoding using belief propagation.” 2014. Doctoral Dissertation, University of Texas – Austin. Accessed October 27, 2020. http://hdl.handle.net/2152/24842.

MLA Handbook (7th Edition):

Yoo, Yong Seok. “Multi-scale error-correcting codes and their decoding using belief propagation.” 2014. Web. 27 Oct 2020.

Vancouver:

Yoo YS. Multi-scale error-correcting codes and their decoding using belief propagation. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2014. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2152/24842.

Council of Science Editors:

Yoo YS. Multi-scale error-correcting codes and their decoding using belief propagation. [Doctoral Dissertation]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/24842


Stellenbosch University

7. Kamper, Francois. Regularised Gaussian belief propagation.

Degree: PhD, Statistics and Actuarial Science, 2018, Stellenbosch University

ENGLISH SUMMARY : Belief propagation (BP) has been applied as an approximation tool in a variety of inference problems. BP does not necessarily converge in… (more)

Subjects/Keywords: Belief propagation; Gaussian distribution; Linear systems; Inference; UCTD

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APA (6th Edition):

Kamper, F. (2018). Regularised Gaussian belief propagation. (Doctoral Dissertation). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/104954

Chicago Manual of Style (16th Edition):

Kamper, Francois. “Regularised Gaussian belief propagation.” 2018. Doctoral Dissertation, Stellenbosch University. Accessed October 27, 2020. http://hdl.handle.net/10019.1/104954.

MLA Handbook (7th Edition):

Kamper, Francois. “Regularised Gaussian belief propagation.” 2018. Web. 27 Oct 2020.

Vancouver:

Kamper F. Regularised Gaussian belief propagation. [Internet] [Doctoral dissertation]. Stellenbosch University; 2018. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/10019.1/104954.

Council of Science Editors:

Kamper F. Regularised Gaussian belief propagation. [Doctoral Dissertation]. Stellenbosch University; 2018. Available from: http://hdl.handle.net/10019.1/104954


Penn State University

8. Rengarajan, Bharath. AN APPROXIMATE EXPECTATION - MAXIMIZATION LIKE APPROACH TO SPATIO - TEMPORAL BELIEF - PROPAGATION FOR MOVING OBJECT DETECTION .

Degree: 2011, Penn State University

 Graphical models offer a convenient framework to model vision problems like motion estimation. The idea of modeling a pixel’s motion likelihood using Belief Propagation (BP)… (more)

Subjects/Keywords: Moving Object Detection; Markov Random Field; Belief Propagation; Expectation Maximization

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APA (6th Edition):

Rengarajan, B. (2011). AN APPROXIMATE EXPECTATION - MAXIMIZATION LIKE APPROACH TO SPATIO - TEMPORAL BELIEF - PROPAGATION FOR MOVING OBJECT DETECTION . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/11946

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rengarajan, Bharath. “AN APPROXIMATE EXPECTATION - MAXIMIZATION LIKE APPROACH TO SPATIO - TEMPORAL BELIEF - PROPAGATION FOR MOVING OBJECT DETECTION .” 2011. Thesis, Penn State University. Accessed October 27, 2020. https://submit-etda.libraries.psu.edu/catalog/11946.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rengarajan, Bharath. “AN APPROXIMATE EXPECTATION - MAXIMIZATION LIKE APPROACH TO SPATIO - TEMPORAL BELIEF - PROPAGATION FOR MOVING OBJECT DETECTION .” 2011. Web. 27 Oct 2020.

Vancouver:

Rengarajan B. AN APPROXIMATE EXPECTATION - MAXIMIZATION LIKE APPROACH TO SPATIO - TEMPORAL BELIEF - PROPAGATION FOR MOVING OBJECT DETECTION . [Internet] [Thesis]. Penn State University; 2011. [cited 2020 Oct 27]. Available from: https://submit-etda.libraries.psu.edu/catalog/11946.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rengarajan B. AN APPROXIMATE EXPECTATION - MAXIMIZATION LIKE APPROACH TO SPATIO - TEMPORAL BELIEF - PROPAGATION FOR MOVING OBJECT DETECTION . [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/11946

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


North Carolina State University

9. Yaghi, Haytham H. Canonical Graph Decomposition in Matching.

Degree: MS, Electrical Engineering, 2009, North Carolina State University

 In the following thesis, we present our proposed probabilistic approach to the graph isomorphism problem. Through a "divide and conquer" approach, a graph is first… (more)

Subjects/Keywords: belief propagation; probabilistic relaxation; graph decomposition; graph isomorphism

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APA (6th Edition):

Yaghi, H. H. (2009). Canonical Graph Decomposition in Matching. (Thesis). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/1895

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yaghi, Haytham H. “Canonical Graph Decomposition in Matching.” 2009. Thesis, North Carolina State University. Accessed October 27, 2020. http://www.lib.ncsu.edu/resolver/1840.16/1895.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yaghi, Haytham H. “Canonical Graph Decomposition in Matching.” 2009. Web. 27 Oct 2020.

Vancouver:

Yaghi HH. Canonical Graph Decomposition in Matching. [Internet] [Thesis]. North Carolina State University; 2009. [cited 2020 Oct 27]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/1895.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yaghi HH. Canonical Graph Decomposition in Matching. [Thesis]. North Carolina State University; 2009. Available from: http://www.lib.ncsu.edu/resolver/1840.16/1895

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Toronto

10. Sadiq. Application of Compressive Sensing and Belief Propagation for Channel Occupancy Detection in Cognitive Radio Networks.

Degree: 2011, University of Toronto

Wide-band spectrum sensing is an approach for finding spectrum holes within a wideband signal with less complexity/delay than the conventional approaches. In this thesis, we… (more)

Subjects/Keywords: spectrum sensing; compressive sensing; belief propagation; sparsity level detection; 0544

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APA (6th Edition):

Sadiq. (2011). Application of Compressive Sensing and Belief Propagation for Channel Occupancy Detection in Cognitive Radio Networks. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/29609

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Sadiq. “Application of Compressive Sensing and Belief Propagation for Channel Occupancy Detection in Cognitive Radio Networks.” 2011. Masters Thesis, University of Toronto. Accessed October 27, 2020. http://hdl.handle.net/1807/29609.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Sadiq. “Application of Compressive Sensing and Belief Propagation for Channel Occupancy Detection in Cognitive Radio Networks.” 2011. Web. 27 Oct 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Sadiq. Application of Compressive Sensing and Belief Propagation for Channel Occupancy Detection in Cognitive Radio Networks. [Internet] [Masters thesis]. University of Toronto; 2011. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/1807/29609.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Sadiq. Application of Compressive Sensing and Belief Propagation for Channel Occupancy Detection in Cognitive Radio Networks. [Masters Thesis]. University of Toronto; 2011. Available from: http://hdl.handle.net/1807/29609

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

11. Peng, Yanjie. Design and Implementation of Belief Propagation Symbol Detectors for Wireless Intersymbol Interference Channels.

Degree: PhD, 2012, Worcester Polytechnic Institute

 "In modern wireless communication systems, intersymbol interference (ISI) introduced by frequency selective fading is one of the major impairments to reliable data communication. In ISI… (more)

Subjects/Keywords: belief propagation; symbol detector; intersymbol interference; wireless communication

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APA (6th Edition):

Peng, Y. (2012). Design and Implementation of Belief Propagation Symbol Detectors for Wireless Intersymbol Interference Channels. (Doctoral Dissertation). Worcester Polytechnic Institute. Retrieved from etd-120812-065941 ; https://digitalcommons.wpi.edu/etd-dissertations/410

Chicago Manual of Style (16th Edition):

Peng, Yanjie. “Design and Implementation of Belief Propagation Symbol Detectors for Wireless Intersymbol Interference Channels.” 2012. Doctoral Dissertation, Worcester Polytechnic Institute. Accessed October 27, 2020. etd-120812-065941 ; https://digitalcommons.wpi.edu/etd-dissertations/410.

MLA Handbook (7th Edition):

Peng, Yanjie. “Design and Implementation of Belief Propagation Symbol Detectors for Wireless Intersymbol Interference Channels.” 2012. Web. 27 Oct 2020.

Vancouver:

Peng Y. Design and Implementation of Belief Propagation Symbol Detectors for Wireless Intersymbol Interference Channels. [Internet] [Doctoral dissertation]. Worcester Polytechnic Institute; 2012. [cited 2020 Oct 27]. Available from: etd-120812-065941 ; https://digitalcommons.wpi.edu/etd-dissertations/410.

Council of Science Editors:

Peng Y. Design and Implementation of Belief Propagation Symbol Detectors for Wireless Intersymbol Interference Channels. [Doctoral Dissertation]. Worcester Polytechnic Institute; 2012. Available from: etd-120812-065941 ; https://digitalcommons.wpi.edu/etd-dissertations/410

12. Machado, Raquel. From Theory to Practice: Evaluating Sparsening Filter designs on a Software-Defined Radio Platform.

Degree: PhD, 2014, Worcester Polytechnic Institute

 "A comprehensive analysis of a novel detection scheme for SISO wireless transmission scenarios is presented in this dissertation. The scheme, which is based on Belief-Propagation(more)

Subjects/Keywords: sparsening filter; belief propagation; software defined radio; FMCOMMS

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APA (6th Edition):

Machado, R. (2014). From Theory to Practice: Evaluating Sparsening Filter designs on a Software-Defined Radio Platform. (Doctoral Dissertation). Worcester Polytechnic Institute. Retrieved from etd-122314-041516 ; https://digitalcommons.wpi.edu/etd-dissertations/434

Chicago Manual of Style (16th Edition):

Machado, Raquel. “From Theory to Practice: Evaluating Sparsening Filter designs on a Software-Defined Radio Platform.” 2014. Doctoral Dissertation, Worcester Polytechnic Institute. Accessed October 27, 2020. etd-122314-041516 ; https://digitalcommons.wpi.edu/etd-dissertations/434.

MLA Handbook (7th Edition):

Machado, Raquel. “From Theory to Practice: Evaluating Sparsening Filter designs on a Software-Defined Radio Platform.” 2014. Web. 27 Oct 2020.

Vancouver:

Machado R. From Theory to Practice: Evaluating Sparsening Filter designs on a Software-Defined Radio Platform. [Internet] [Doctoral dissertation]. Worcester Polytechnic Institute; 2014. [cited 2020 Oct 27]. Available from: etd-122314-041516 ; https://digitalcommons.wpi.edu/etd-dissertations/434.

Council of Science Editors:

Machado R. From Theory to Practice: Evaluating Sparsening Filter designs on a Software-Defined Radio Platform. [Doctoral Dissertation]. Worcester Polytechnic Institute; 2014. Available from: etd-122314-041516 ; https://digitalcommons.wpi.edu/etd-dissertations/434


Duke University

13. Lian, Mengke. Belief Propagation with Deep Unfolding for High-dimensional Inference in Communication Systems .

Degree: 2019, Duke University

  High-dimensional probability distributions are important objects in a wide variety of applications for example, most prediction and inference applications focus on computing the posterior… (more)

Subjects/Keywords: Engineering; belief propagation; channel coding; compressed sensing; deep unfolding; optical communication

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APA (6th Edition):

Lian, M. (2019). Belief Propagation with Deep Unfolding for High-dimensional Inference in Communication Systems . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/20148

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lian, Mengke. “Belief Propagation with Deep Unfolding for High-dimensional Inference in Communication Systems .” 2019. Thesis, Duke University. Accessed October 27, 2020. http://hdl.handle.net/10161/20148.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lian, Mengke. “Belief Propagation with Deep Unfolding for High-dimensional Inference in Communication Systems .” 2019. Web. 27 Oct 2020.

Vancouver:

Lian M. Belief Propagation with Deep Unfolding for High-dimensional Inference in Communication Systems . [Internet] [Thesis]. Duke University; 2019. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/10161/20148.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lian M. Belief Propagation with Deep Unfolding for High-dimensional Inference in Communication Systems . [Thesis]. Duke University; 2019. Available from: http://hdl.handle.net/10161/20148

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

14. Anwar Apandi, Nur Ilyana. Cloud Based Small Cell Networks: System Model, Performance Analysis and Resource Allocation .

Degree: 2017, University of Sydney

 In cloud-based small cell networks (C-SCNs), radio resource allocation at the base station (BS) is moved to a cloud data centre for centralised optimisation. In… (more)

Subjects/Keywords: Cloud; Small cell networks; Power control; Belief propagation; Quantisation

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APA (6th Edition):

Anwar Apandi, N. I. (2017). Cloud Based Small Cell Networks: System Model, Performance Analysis and Resource Allocation . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/17685

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Anwar Apandi, Nur Ilyana. “Cloud Based Small Cell Networks: System Model, Performance Analysis and Resource Allocation .” 2017. Thesis, University of Sydney. Accessed October 27, 2020. http://hdl.handle.net/2123/17685.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Anwar Apandi, Nur Ilyana. “Cloud Based Small Cell Networks: System Model, Performance Analysis and Resource Allocation .” 2017. Web. 27 Oct 2020.

Vancouver:

Anwar Apandi NI. Cloud Based Small Cell Networks: System Model, Performance Analysis and Resource Allocation . [Internet] [Thesis]. University of Sydney; 2017. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2123/17685.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Anwar Apandi NI. Cloud Based Small Cell Networks: System Model, Performance Analysis and Resource Allocation . [Thesis]. University of Sydney; 2017. Available from: http://hdl.handle.net/2123/17685

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Ottawa

15. Tu, Ronghui. Generalized Survey Propagation .

Degree: 2011, University of Ottawa

 Survey propagation (SP) has recently been discovered as an efficient algorithm in solving classes of hard constraint-satisfaction problems (CSP). Powerful as it is, SP is… (more)

Subjects/Keywords: k-SAT; q-COL; belief propagation; constraint satisfaction; factor graph; Markov random field; message-passing algorithm; survey propagation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tu, R. (2011). Generalized Survey Propagation . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/19972

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tu, Ronghui. “Generalized Survey Propagation .” 2011. Thesis, University of Ottawa. Accessed October 27, 2020. http://hdl.handle.net/10393/19972.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tu, Ronghui. “Generalized Survey Propagation .” 2011. Web. 27 Oct 2020.

Vancouver:

Tu R. Generalized Survey Propagation . [Internet] [Thesis]. University of Ottawa; 2011. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/10393/19972.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tu R. Generalized Survey Propagation . [Thesis]. University of Ottawa; 2011. Available from: http://hdl.handle.net/10393/19972

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

16. Lee, Sang Hyun, 1977-. On a class of distributed algorithms over networks and graphs.

Degree: PhD, Electrical and Computer Engineering, 2011, University of Texas – Austin

 Distributed iterative algorithms are of great importance, as they are known to provide low-complexity and approximate solutions to what are otherwise high-dimensional intractable optimization problems.… (more)

Subjects/Keywords: Distributed algorithms; Graphical models; Belief propagation; Affinity propagation; Resource allocation; Genomic sequence analysis; Distributed iterative algorithms; Message-passing algorithms

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lee, Sang Hyun, 1. (2011). On a class of distributed algorithms over networks and graphs. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-05-3093

Chicago Manual of Style (16th Edition):

Lee, Sang Hyun, 1977-. “On a class of distributed algorithms over networks and graphs.” 2011. Doctoral Dissertation, University of Texas – Austin. Accessed October 27, 2020. http://hdl.handle.net/2152/ETD-UT-2011-05-3093.

MLA Handbook (7th Edition):

Lee, Sang Hyun, 1977-. “On a class of distributed algorithms over networks and graphs.” 2011. Web. 27 Oct 2020.

Vancouver:

Lee, Sang Hyun 1. On a class of distributed algorithms over networks and graphs. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2011. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-3093.

Council of Science Editors:

Lee, Sang Hyun 1. On a class of distributed algorithms over networks and graphs. [Doctoral Dissertation]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-3093

17. Martin, Victorin. Modélisation probabiliste et inférence par l'algorithme Belief Propagation : Probabilistic Modelling and Inference using the Belief Propagation Algorithm.

Degree: Docteur es, Informatique temps réel, robotique et automatique, 2013, Paris, ENMP

On s'intéresse à la construction et l'estimation - à partir d'observations incomplètes - de modèles de variables aléatoires à valeurs réelles sur un graphe. Ces… (more)

Subjects/Keywords: Belief Propagation; Inférence; Champ markovien aléatoire; Modèle gaussien; Iterative proportional scaling; Belief Propagation; Inference; Markov Random Field; Gaussian model; Iterative proportional scaling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Martin, V. (2013). Modélisation probabiliste et inférence par l'algorithme Belief Propagation : Probabilistic Modelling and Inference using the Belief Propagation Algorithm. (Doctoral Dissertation). Paris, ENMP. Retrieved from http://www.theses.fr/2013ENMP0020

Chicago Manual of Style (16th Edition):

Martin, Victorin. “Modélisation probabiliste et inférence par l'algorithme Belief Propagation : Probabilistic Modelling and Inference using the Belief Propagation Algorithm.” 2013. Doctoral Dissertation, Paris, ENMP. Accessed October 27, 2020. http://www.theses.fr/2013ENMP0020.

MLA Handbook (7th Edition):

Martin, Victorin. “Modélisation probabiliste et inférence par l'algorithme Belief Propagation : Probabilistic Modelling and Inference using the Belief Propagation Algorithm.” 2013. Web. 27 Oct 2020.

Vancouver:

Martin V. Modélisation probabiliste et inférence par l'algorithme Belief Propagation : Probabilistic Modelling and Inference using the Belief Propagation Algorithm. [Internet] [Doctoral dissertation]. Paris, ENMP; 2013. [cited 2020 Oct 27]. Available from: http://www.theses.fr/2013ENMP0020.

Council of Science Editors:

Martin V. Modélisation probabiliste et inférence par l'algorithme Belief Propagation : Probabilistic Modelling and Inference using the Belief Propagation Algorithm. [Doctoral Dissertation]. Paris, ENMP; 2013. Available from: http://www.theses.fr/2013ENMP0020

18. Ćosović Mirsad. Distributed State Estimation in Power Systems using Probabilistic Graphical Models.

Degree: 2019, University of Novi Sad

We present a detailed study on application of factor graphs and the belief propagation (BP) algorithm to the power system state estimation (SE) problem.… (more)

Subjects/Keywords: State Estimation, Electric Power System, Factor Graphs,Belief Propagation, Distributed Gauss-Newton Method; Estimacija stanja, Elektroenergetski sistemi, Faktorgrafovi, Belief Propagation, Distribuirani Gaus-Njutnovmetod

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mirsad, . (2019). Distributed State Estimation in Power Systems using Probabilistic Graphical Models. (Thesis). University of Novi Sad. Retrieved from https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija156172037958568.pdf?controlNumber=(BISIS)108459&fileName=156172037958568.pdf&id=13046&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=108459&source=OATD&language=en

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mirsad, Ćosović. “Distributed State Estimation in Power Systems using Probabilistic Graphical Models.” 2019. Thesis, University of Novi Sad. Accessed October 27, 2020. https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija156172037958568.pdf?controlNumber=(BISIS)108459&fileName=156172037958568.pdf&id=13046&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=108459&source=OATD&language=en.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mirsad, Ćosović. “Distributed State Estimation in Power Systems using Probabilistic Graphical Models.” 2019. Web. 27 Oct 2020.

Vancouver:

Mirsad . Distributed State Estimation in Power Systems using Probabilistic Graphical Models. [Internet] [Thesis]. University of Novi Sad; 2019. [cited 2020 Oct 27]. Available from: https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija156172037958568.pdf?controlNumber=(BISIS)108459&fileName=156172037958568.pdf&id=13046&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=108459&source=OATD&language=en.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mirsad . Distributed State Estimation in Power Systems using Probabilistic Graphical Models. [Thesis]. University of Novi Sad; 2019. Available from: https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija156172037958568.pdf?controlNumber=(BISIS)108459&fileName=156172037958568.pdf&id=13046&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=108459&source=OATD&language=en

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

19. Huang, Jun-ming. Hardware Design of Disparity Estimation Using Belief Propagation.

Degree: Master, Computer Science and Engineering, 2013, NSYSU

 Stereo vision is widely used in 3D graphics applications. Depth map, an important information in stereo vision, can be generated using stereo matching. In general,… (more)

Subjects/Keywords: Markov random field; belief propagation; disparity computation; depth map; stereo matching; stereo vision

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Huang, J. (2013). Hardware Design of Disparity Estimation Using Belief Propagation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727113-103923

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Huang, Jun-ming. “Hardware Design of Disparity Estimation Using Belief Propagation.” 2013. Thesis, NSYSU. Accessed October 27, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727113-103923.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Huang, Jun-ming. “Hardware Design of Disparity Estimation Using Belief Propagation.” 2013. Web. 27 Oct 2020.

Vancouver:

Huang J. Hardware Design of Disparity Estimation Using Belief Propagation. [Internet] [Thesis]. NSYSU; 2013. [cited 2020 Oct 27]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727113-103923.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang J. Hardware Design of Disparity Estimation Using Belief Propagation. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727113-103923

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Carnegie Mellon University

20. Razavian, Narges Sharif. Continuous Graphical Models for Static and Dynamic Distributions: Application to Structural Biology.

Degree: 2013, Carnegie Mellon University

 Generative models of protein structure enable researchers to predict the behavior of proteins under different conditions. Continuous graphical models are powerful and efficient tools for… (more)

Subjects/Keywords: machine learning; graphical models; kernel belief propagation; structural biology; structure learning; inference

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Razavian, N. S. (2013). Continuous Graphical Models for Static and Dynamic Distributions: Application to Structural Biology. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/340

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Razavian, Narges Sharif. “Continuous Graphical Models for Static and Dynamic Distributions: Application to Structural Biology.” 2013. Thesis, Carnegie Mellon University. Accessed October 27, 2020. http://repository.cmu.edu/dissertations/340.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Razavian, Narges Sharif. “Continuous Graphical Models for Static and Dynamic Distributions: Application to Structural Biology.” 2013. Web. 27 Oct 2020.

Vancouver:

Razavian NS. Continuous Graphical Models for Static and Dynamic Distributions: Application to Structural Biology. [Internet] [Thesis]. Carnegie Mellon University; 2013. [cited 2020 Oct 27]. Available from: http://repository.cmu.edu/dissertations/340.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Razavian NS. Continuous Graphical Models for Static and Dynamic Distributions: Application to Structural Biology. [Thesis]. Carnegie Mellon University; 2013. Available from: http://repository.cmu.edu/dissertations/340

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

21. Manoel, Antonio André Monteiro. Mecânica estatística de sistemas de reputação em redes autônomas.

Degree: Mestrado, Física, 2012, University of São Paulo

Dá-se o nome de sistemas de reputação a mecanismos em que membros de uma comunidade emitem avaliações sobre os demais e a partir destas se… (more)

Subjects/Keywords: belief propagation; cavity method; método de cavidade; propagação de crenças; reputation systems; sistemas de reputação

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Manoel, A. A. M. (2012). Mecânica estatística de sistemas de reputação em redes autônomas. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/43/43134/tde-19062012-162237/ ;

Chicago Manual of Style (16th Edition):

Manoel, Antonio André Monteiro. “Mecânica estatística de sistemas de reputação em redes autônomas.” 2012. Masters Thesis, University of São Paulo. Accessed October 27, 2020. http://www.teses.usp.br/teses/disponiveis/43/43134/tde-19062012-162237/ ;.

MLA Handbook (7th Edition):

Manoel, Antonio André Monteiro. “Mecânica estatística de sistemas de reputação em redes autônomas.” 2012. Web. 27 Oct 2020.

Vancouver:

Manoel AAM. Mecânica estatística de sistemas de reputação em redes autônomas. [Internet] [Masters thesis]. University of São Paulo; 2012. [cited 2020 Oct 27]. Available from: http://www.teses.usp.br/teses/disponiveis/43/43134/tde-19062012-162237/ ;.

Council of Science Editors:

Manoel AAM. Mecânica estatística de sistemas de reputação em redes autônomas. [Masters Thesis]. University of São Paulo; 2012. Available from: http://www.teses.usp.br/teses/disponiveis/43/43134/tde-19062012-162237/ ;


University of Bristol

22. Green, Joseph A. F. A study of inference-based attacks with neural network classifiers.

Degree: PhD, 2019, University of Bristol

Belief Propagation is a message-passing algorithm used to propagate information in probabilistic graphical models. In 2014 it was shown that, in theory, Belief Propagation can… (more)

Subjects/Keywords: 004; Belief Propagation; Cryptography; Python; Side Channel Attacks; Deep Learning; Machine Learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Green, J. A. F. (2019). A study of inference-based attacks with neural network classifiers. (Doctoral Dissertation). University of Bristol. Retrieved from http://hdl.handle.net/1983/de93265f-81c8-40e6-bbbc-b20514f8a47d

Chicago Manual of Style (16th Edition):

Green, Joseph A F. “A study of inference-based attacks with neural network classifiers.” 2019. Doctoral Dissertation, University of Bristol. Accessed October 27, 2020. http://hdl.handle.net/1983/de93265f-81c8-40e6-bbbc-b20514f8a47d.

MLA Handbook (7th Edition):

Green, Joseph A F. “A study of inference-based attacks with neural network classifiers.” 2019. Web. 27 Oct 2020.

Vancouver:

Green JAF. A study of inference-based attacks with neural network classifiers. [Internet] [Doctoral dissertation]. University of Bristol; 2019. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/1983/de93265f-81c8-40e6-bbbc-b20514f8a47d.

Council of Science Editors:

Green JAF. A study of inference-based attacks with neural network classifiers. [Doctoral Dissertation]. University of Bristol; 2019. Available from: http://hdl.handle.net/1983/de93265f-81c8-40e6-bbbc-b20514f8a47d


University of Tennessee – Knoxville

23. Wang, Yifan. Data Driven Quickest Detection in Networks and Its Applications in Spectrum Sensing.

Degree: 2019, University of Tennessee – Knoxville

 Cognitive radio is one of the enabling technologies considered for the next generation communication systems for many mission-critical applications. In modern cognitive ratio systems, the… (more)

Subjects/Keywords: Quickest Detection; Spectrum Sensing; Cognitive Radio; mmWave; Belief Propagation; Universal Change Detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, Y. (2019). Data Driven Quickest Detection in Networks and Its Applications in Spectrum Sensing. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/5618

Chicago Manual of Style (16th Edition):

Wang, Yifan. “Data Driven Quickest Detection in Networks and Its Applications in Spectrum Sensing.” 2019. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed October 27, 2020. https://trace.tennessee.edu/utk_graddiss/5618.

MLA Handbook (7th Edition):

Wang, Yifan. “Data Driven Quickest Detection in Networks and Its Applications in Spectrum Sensing.” 2019. Web. 27 Oct 2020.

Vancouver:

Wang Y. Data Driven Quickest Detection in Networks and Its Applications in Spectrum Sensing. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2019. [cited 2020 Oct 27]. Available from: https://trace.tennessee.edu/utk_graddiss/5618.

Council of Science Editors:

Wang Y. Data Driven Quickest Detection in Networks and Its Applications in Spectrum Sensing. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2019. Available from: https://trace.tennessee.edu/utk_graddiss/5618


University of Houston

24. Yuan, Zhou. A FRAMEWORK OF BELIEF PROPAGATION AND GAME THEORY FOR COGNITIVE RADIO SECURITY AND ROUTING.

Degree: PhD, Electrical Engineering, 2012, University of Houston

 With the advent of new high data rate wireless applications, as well as growth of existing wireless services, demand for additional bandwidth is increasing rapidly.… (more)

Subjects/Keywords: Cognitive Radio; Security; Belief Propagation; Network Formation Game; Routing; Electrical engineering; Computer engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yuan, Z. (2012). A FRAMEWORK OF BELIEF PROPAGATION AND GAME THEORY FOR COGNITIVE RADIO SECURITY AND ROUTING. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/737

Chicago Manual of Style (16th Edition):

Yuan, Zhou. “A FRAMEWORK OF BELIEF PROPAGATION AND GAME THEORY FOR COGNITIVE RADIO SECURITY AND ROUTING.” 2012. Doctoral Dissertation, University of Houston. Accessed October 27, 2020. http://hdl.handle.net/10657/737.

MLA Handbook (7th Edition):

Yuan, Zhou. “A FRAMEWORK OF BELIEF PROPAGATION AND GAME THEORY FOR COGNITIVE RADIO SECURITY AND ROUTING.” 2012. Web. 27 Oct 2020.

Vancouver:

Yuan Z. A FRAMEWORK OF BELIEF PROPAGATION AND GAME THEORY FOR COGNITIVE RADIO SECURITY AND ROUTING. [Internet] [Doctoral dissertation]. University of Houston; 2012. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/10657/737.

Council of Science Editors:

Yuan Z. A FRAMEWORK OF BELIEF PROPAGATION AND GAME THEORY FOR COGNITIVE RADIO SECURITY AND ROUTING. [Doctoral Dissertation]. University of Houston; 2012. Available from: http://hdl.handle.net/10657/737


University of Illinois – Chicago

25. Shi, Xiangqiong. Bayesian Networks: Performance Analysis of Loopy Belief Propagation.

Degree: 2012, University of Illinois – Chicago

 Loopy belief propagation (LBP) is a probability inference algorithm on Graphical Models. It has been successfully applied in low-density parity-check codes, turbo codes, computer vision… (more)

Subjects/Keywords: Graphical Model; Bayesian Networks; Loopy Belief Propagation; Sum-Product; Max-Product; Image Segmentation

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APA (6th Edition):

Shi, X. (2012). Bayesian Networks: Performance Analysis of Loopy Belief Propagation. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/8909

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shi, Xiangqiong. “Bayesian Networks: Performance Analysis of Loopy Belief Propagation.” 2012. Thesis, University of Illinois – Chicago. Accessed October 27, 2020. http://hdl.handle.net/10027/8909.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shi, Xiangqiong. “Bayesian Networks: Performance Analysis of Loopy Belief Propagation.” 2012. Web. 27 Oct 2020.

Vancouver:

Shi X. Bayesian Networks: Performance Analysis of Loopy Belief Propagation. [Internet] [Thesis]. University of Illinois – Chicago; 2012. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/10027/8909.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shi X. Bayesian Networks: Performance Analysis of Loopy Belief Propagation. [Thesis]. University of Illinois – Chicago; 2012. Available from: http://hdl.handle.net/10027/8909

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université Catholique de Louvain

26. Oguz, Onur. Unified analysis of communication receivers using a Bayesian approach.

Degree: 2011, Université Catholique de Louvain

A digital communication system is defined mainly by three entities, namely, transmitter, communication medium and receiver. Particular descriptions of the transmitter and the communication medium… (more)

Subjects/Keywords: Bayes; MIMO; Estimation; Detection; Receiver; Factor graph; Graph; Belief propagation; Digital communication; Coding; Decoding; Equalization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Oguz, O. (2011). Unified analysis of communication receivers using a Bayesian approach. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/106870

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Oguz, Onur. “Unified analysis of communication receivers using a Bayesian approach.” 2011. Thesis, Université Catholique de Louvain. Accessed October 27, 2020. http://hdl.handle.net/2078.1/106870.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Oguz, Onur. “Unified analysis of communication receivers using a Bayesian approach.” 2011. Web. 27 Oct 2020.

Vancouver:

Oguz O. Unified analysis of communication receivers using a Bayesian approach. [Internet] [Thesis]. Université Catholique de Louvain; 2011. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2078.1/106870.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Oguz O. Unified analysis of communication receivers using a Bayesian approach. [Thesis]. Université Catholique de Louvain; 2011. Available from: http://hdl.handle.net/2078.1/106870

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Queens University

27. Rajaie, Tarannom. Belief Propagation Decoding of Finite-Length Polar Codes .

Degree: Electrical and Computer Engineering, 2012, Queens University

 Polar codes, recently invented by Arikan, are the first class of codes known to achieve the symmetric capacity for a large class of channels. The… (more)

Subjects/Keywords: Successive Cncellation ; Channel Polarization ; Polar codes ; Information Theory ; Decoding Complexity ; Belief Propagation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rajaie, T. (2012). Belief Propagation Decoding of Finite-Length Polar Codes . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/6996

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rajaie, Tarannom. “Belief Propagation Decoding of Finite-Length Polar Codes .” 2012. Thesis, Queens University. Accessed October 27, 2020. http://hdl.handle.net/1974/6996.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rajaie, Tarannom. “Belief Propagation Decoding of Finite-Length Polar Codes .” 2012. Web. 27 Oct 2020.

Vancouver:

Rajaie T. Belief Propagation Decoding of Finite-Length Polar Codes . [Internet] [Thesis]. Queens University; 2012. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/1974/6996.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rajaie T. Belief Propagation Decoding of Finite-Length Polar Codes . [Thesis]. Queens University; 2012. Available from: http://hdl.handle.net/1974/6996

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Tech

28. Demma, James Daniel. A Hardware Generator for Factor Graph Applications.

Degree: MS, Computer Engineering, 2014, Virginia Tech

 A Factor Graph (FG  – http://en.wikipedia.org/wiki/Factor_graph) is a structure used to find solutions to problems that can be represented as a Probabilistic Graphical Model (PGM).… (more)

Subjects/Keywords: Factor Graph; Probabilistic Graphical Model; Digital Design; Sum-Product; Min-Sum; Belief Propagation; Hardware Generator

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Demma, J. D. (2014). A Hardware Generator for Factor Graph Applications. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/48599

Chicago Manual of Style (16th Edition):

Demma, James Daniel. “A Hardware Generator for Factor Graph Applications.” 2014. Masters Thesis, Virginia Tech. Accessed October 27, 2020. http://hdl.handle.net/10919/48599.

MLA Handbook (7th Edition):

Demma, James Daniel. “A Hardware Generator for Factor Graph Applications.” 2014. Web. 27 Oct 2020.

Vancouver:

Demma JD. A Hardware Generator for Factor Graph Applications. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/10919/48599.

Council of Science Editors:

Demma JD. A Hardware Generator for Factor Graph Applications. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/48599


Georgia State University

29. He, Zaobo. Privacy Preserving Data Publishing.

Degree: PhD, Computer Science, 2018, Georgia State University

  Recent years have witnessed increasing interest among researchers in protecting individual privacy in the big data era, involving social media, genomics, and Internet of… (more)

Subjects/Keywords: Inference Attack; Data Sanitization; Differential Privacy; SNP-Trait Association; Belief Propagation; Probabilistic Graphical Model

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

He, Z. (2018). Privacy Preserving Data Publishing. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/141

Chicago Manual of Style (16th Edition):

He, Zaobo. “Privacy Preserving Data Publishing.” 2018. Doctoral Dissertation, Georgia State University. Accessed October 27, 2020. https://scholarworks.gsu.edu/cs_diss/141.

MLA Handbook (7th Edition):

He, Zaobo. “Privacy Preserving Data Publishing.” 2018. Web. 27 Oct 2020.

Vancouver:

He Z. Privacy Preserving Data Publishing. [Internet] [Doctoral dissertation]. Georgia State University; 2018. [cited 2020 Oct 27]. Available from: https://scholarworks.gsu.edu/cs_diss/141.

Council of Science Editors:

He Z. Privacy Preserving Data Publishing. [Doctoral Dissertation]. Georgia State University; 2018. Available from: https://scholarworks.gsu.edu/cs_diss/141


University of Bristol

30. Green, Joseph A. F. A study of inference-based attacks with neural network classifiers.

Degree: PhD, 2019, University of Bristol

Belief Propagation is a message-passing algorithm used to propagate information in probabilistic graphical models. In 2014 it was shown that, in theory, Belief Propagation can… (more)

Subjects/Keywords: 004; Belief Propagation; Cryptography; Python; Side Channel Attacks; Deep Learning; Machine Learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Green, J. A. F. (2019). A study of inference-based attacks with neural network classifiers. (Doctoral Dissertation). University of Bristol. Retrieved from https://research-information.bris.ac.uk/en/studentTheses/de93265f-81c8-40e6-bbbc-b20514f8a47d ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.794513

Chicago Manual of Style (16th Edition):

Green, Joseph A F. “A study of inference-based attacks with neural network classifiers.” 2019. Doctoral Dissertation, University of Bristol. Accessed October 27, 2020. https://research-information.bris.ac.uk/en/studentTheses/de93265f-81c8-40e6-bbbc-b20514f8a47d ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.794513.

MLA Handbook (7th Edition):

Green, Joseph A F. “A study of inference-based attacks with neural network classifiers.” 2019. Web. 27 Oct 2020.

Vancouver:

Green JAF. A study of inference-based attacks with neural network classifiers. [Internet] [Doctoral dissertation]. University of Bristol; 2019. [cited 2020 Oct 27]. Available from: https://research-information.bris.ac.uk/en/studentTheses/de93265f-81c8-40e6-bbbc-b20514f8a47d ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.794513.

Council of Science Editors:

Green JAF. A study of inference-based attacks with neural network classifiers. [Doctoral Dissertation]. University of Bristol; 2019. Available from: https://research-information.bris.ac.uk/en/studentTheses/de93265f-81c8-40e6-bbbc-b20514f8a47d ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.794513

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