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You searched for subject:(Affinity propagation). Showing records 1 – 14 of 14 total matches.

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University of Georgia

1. Estill, James Christopher. A taxonomy and genome cartology of maize LTR retrotransposons.

Degree: PhD, Plant Biology, 2010, University of Georgia

 The genome cartology approach to genomics is a spatially explicit framework for the study of patterns in the distribution and abundance of sequence features within… (more)

Subjects/Keywords: Affinity Propagation

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APA (6th Edition):

Estill, J. C. (2010). A taxonomy and genome cartology of maize LTR retrotransposons. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/estill_james_c_201012_phd

Chicago Manual of Style (16th Edition):

Estill, James Christopher. “A taxonomy and genome cartology of maize LTR retrotransposons.” 2010. Doctoral Dissertation, University of Georgia. Accessed March 25, 2019. http://purl.galileo.usg.edu/uga_etd/estill_james_c_201012_phd.

MLA Handbook (7th Edition):

Estill, James Christopher. “A taxonomy and genome cartology of maize LTR retrotransposons.” 2010. Web. 25 Mar 2019.

Vancouver:

Estill JC. A taxonomy and genome cartology of maize LTR retrotransposons. [Internet] [Doctoral dissertation]. University of Georgia; 2010. [cited 2019 Mar 25]. Available from: http://purl.galileo.usg.edu/uga_etd/estill_james_c_201012_phd.

Council of Science Editors:

Estill JC. A taxonomy and genome cartology of maize LTR retrotransposons. [Doctoral Dissertation]. University of Georgia; 2010. Available from: http://purl.galileo.usg.edu/uga_etd/estill_james_c_201012_phd


University of New Orleans

2. Redfern, Cory. Malware Recognition by Properties of Executables.

Degree: MS, Computer Science, 2009, University of New Orleans

 This thesis explores what patterns, if any, exist to differentiate non-malware from malware, given only a sequence of raw bytes composing either a received file… (more)

Subjects/Keywords: affinity propagation; malware; filter

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APA (6th Edition):

Redfern, C. (2009). Malware Recognition by Properties of Executables. (Thesis). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/1013

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):

Redfern, Cory. “Malware Recognition by Properties of Executables.” 2009. Thesis, University of New Orleans. Accessed March 25, 2019. https://scholarworks.uno.edu/td/1013.

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

MLA Handbook (7th Edition):

Redfern, Cory. “Malware Recognition by Properties of Executables.” 2009. Web. 25 Mar 2019.

Vancouver:

Redfern C. Malware Recognition by Properties of Executables. [Internet] [Thesis]. University of New Orleans; 2009. [cited 2019 Mar 25]. Available from: https://scholarworks.uno.edu/td/1013.

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

Council of Science Editors:

Redfern C. Malware Recognition by Properties of Executables. [Thesis]. University of New Orleans; 2009. Available from: https://scholarworks.uno.edu/td/1013

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


University of Texas – Austin

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

Degree: 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. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/24842

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):

Yoo, Yong Seok. “Multi-scale error-correcting codes and their decoding using belief propagation.” 2014. Thesis, University of Texas – Austin. Accessed March 25, 2019. http://hdl.handle.net/2152/24842.

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

MLA Handbook (7th Edition):

Yoo, Yong Seok. “Multi-scale error-correcting codes and their decoding using belief propagation.” 2014. Web. 25 Mar 2019.

Vancouver:

Yoo YS. Multi-scale error-correcting codes and their decoding using belief propagation. [Internet] [Thesis]. University of Texas – Austin; 2014. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/2152/24842.

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

Council of Science Editors:

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

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


University of Toronto

4. Yousefi, Zhino. Human Activity Recognition Using Time Series Classification.

Degree: 2015, University of Toronto

Activity Recognition (AR) has become a basis for applications such as health care and elderly surveillance, human position tracking, home monitoring and security applications. Embedding… (more)

Subjects/Keywords: Activity recognition; Affinity propagation; Dynamic time warping; 0459

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APA (6th Edition):

Yousefi, Z. (2015). Human Activity Recognition Using Time Series Classification. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/69715

Chicago Manual of Style (16th Edition):

Yousefi, Zhino. “Human Activity Recognition Using Time Series Classification.” 2015. Masters Thesis, University of Toronto. Accessed March 25, 2019. http://hdl.handle.net/1807/69715.

MLA Handbook (7th Edition):

Yousefi, Zhino. “Human Activity Recognition Using Time Series Classification.” 2015. Web. 25 Mar 2019.

Vancouver:

Yousefi Z. Human Activity Recognition Using Time Series Classification. [Internet] [Masters thesis]. University of Toronto; 2015. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/1807/69715.

Council of Science Editors:

Yousefi Z. Human Activity Recognition Using Time Series Classification. [Masters Thesis]. University of Toronto; 2015. Available from: http://hdl.handle.net/1807/69715


Penn State University

5. Kuhlengel, Trevor. Affinity Propagation for Computer-aided Detection of Lung Cancer in 3D PET/CT Studies.

Degree: 2017, Penn State University

 Bronchoscopic biopsy of suspicious sites is a critical component of lung-cancer staging. Physicians use PET/CT studies to provide structural and functional information important to diagnosis,… (more)

Subjects/Keywords: PET/CT; PET; CT; affinity propagation; lung cancer; automated detection

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APA (6th Edition):

Kuhlengel, T. (2017). Affinity Propagation for Computer-aided Detection of Lung Cancer in 3D PET/CT Studies. (Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/14658tkk3

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):

Kuhlengel, Trevor. “Affinity Propagation for Computer-aided Detection of Lung Cancer in 3D PET/CT Studies.” 2017. Thesis, Penn State University. Accessed March 25, 2019. https://etda.libraries.psu.edu/catalog/14658tkk3.

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

MLA Handbook (7th Edition):

Kuhlengel, Trevor. “Affinity Propagation for Computer-aided Detection of Lung Cancer in 3D PET/CT Studies.” 2017. Web. 25 Mar 2019.

Vancouver:

Kuhlengel T. Affinity Propagation for Computer-aided Detection of Lung Cancer in 3D PET/CT Studies. [Internet] [Thesis]. Penn State University; 2017. [cited 2019 Mar 25]. Available from: https://etda.libraries.psu.edu/catalog/14658tkk3.

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

Council of Science Editors:

Kuhlengel T. Affinity Propagation for Computer-aided Detection of Lung Cancer in 3D PET/CT Studies. [Thesis]. Penn State University; 2017. Available from: https://etda.libraries.psu.edu/catalog/14658tkk3

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


University of Texas – Austin

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

Degree: 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 (6th Edition):

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

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):

Lee, Sang Hyun, 1977-. “On a class of distributed algorithms over networks and graphs.” 2011. Thesis, University of Texas – Austin. Accessed March 25, 2019. http://hdl.handle.net/2152/ETD-UT-2011-05-3093.

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

MLA Handbook (7th Edition):

Lee, Sang Hyun, 1977-. “On a class of distributed algorithms over networks and graphs.” 2011. Web. 25 Mar 2019.

Vancouver:

Lee, Sang Hyun 1. On a class of distributed algorithms over networks and graphs. [Internet] [Thesis]. University of Texas – Austin; 2011. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-3093.

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

Council of Science Editors:

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

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


University of Toronto

7. Akl, Ahmad. A Novel Accelerometer-based Gesture Recognition System.

Degree: 2010, University of Toronto

Gesture Recognition provides an efficient human-computer interaction for interactive and intelligent computing. In this work, we address the problem of gesture recognition using the theory… (more)

Subjects/Keywords: Gesture Recognition; Compressive Sensing; Dynamic Time Warping; Artificial Intelligence; Affinity Propagation; Accelerometers; 0544; 0800

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APA (6th Edition):

Akl, A. (2010). A Novel Accelerometer-based Gesture Recognition System. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/25403

Chicago Manual of Style (16th Edition):

Akl, Ahmad. “A Novel Accelerometer-based Gesture Recognition System.” 2010. Masters Thesis, University of Toronto. Accessed March 25, 2019. http://hdl.handle.net/1807/25403.

MLA Handbook (7th Edition):

Akl, Ahmad. “A Novel Accelerometer-based Gesture Recognition System.” 2010. Web. 25 Mar 2019.

Vancouver:

Akl A. A Novel Accelerometer-based Gesture Recognition System. [Internet] [Masters thesis]. University of Toronto; 2010. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/1807/25403.

Council of Science Editors:

Akl A. A Novel Accelerometer-based Gesture Recognition System. [Masters Thesis]. University of Toronto; 2010. Available from: http://hdl.handle.net/1807/25403


University of Toronto

8. Au, Anthea Wain Sy. RSS-based WLAN Indoor Positioning and Tracking System Using Compressive Sensing and Its Implementation on Mobile Devices.

Degree: 2010, University of Toronto

As the demand of indoor Location-Based Services (LBSs) increases, there is a growing interest in developing an accurate indoor positioning and tracking system on mobile… (more)

Subjects/Keywords: RSS; WLAN; Indoor positioning; Indoor tracking; Compressive sensing; Affinity propagation; Kalman filter; Navigation; mobile devices; 0544

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APA (6th Edition):

Au, A. W. S. (2010). RSS-based WLAN Indoor Positioning and Tracking System Using Compressive Sensing and Its Implementation on Mobile Devices. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/25413

Chicago Manual of Style (16th Edition):

Au, Anthea Wain Sy. “RSS-based WLAN Indoor Positioning and Tracking System Using Compressive Sensing and Its Implementation on Mobile Devices.” 2010. Masters Thesis, University of Toronto. Accessed March 25, 2019. http://hdl.handle.net/1807/25413.

MLA Handbook (7th Edition):

Au, Anthea Wain Sy. “RSS-based WLAN Indoor Positioning and Tracking System Using Compressive Sensing and Its Implementation on Mobile Devices.” 2010. Web. 25 Mar 2019.

Vancouver:

Au AWS. RSS-based WLAN Indoor Positioning and Tracking System Using Compressive Sensing and Its Implementation on Mobile Devices. [Internet] [Masters thesis]. University of Toronto; 2010. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/1807/25413.

Council of Science Editors:

Au AWS. RSS-based WLAN Indoor Positioning and Tracking System Using Compressive Sensing and Its Implementation on Mobile Devices. [Masters Thesis]. University of Toronto; 2010. Available from: http://hdl.handle.net/1807/25413


University of Texas – Austin

9. -3113-0409. Outcome prediction and structure discovery in healthcare data.

Degree: Electrical and Computer Engineering, 2016, University of Texas – Austin

 Growing use of electronic medical records, advances in data mining and machine learning, and the continually increasing cost of healthcare in the United States drive… (more)

Subjects/Keywords: Healthcare analytics; Mortality prediction; Optimizable risk score; Affinity propagation; Semi-supervised clustering; Noisy pairwise constraints; Evolutionary clustering; Temporal data; Medication adherence

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APA (6th Edition):

-3113-0409. (2016). Outcome prediction and structure discovery in healthcare data. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/43726

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

Chicago Manual of Style (16th Edition):

-3113-0409. “Outcome prediction and structure discovery in healthcare data.” 2016. Thesis, University of Texas – Austin. Accessed March 25, 2019. http://hdl.handle.net/2152/43726.

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

MLA Handbook (7th Edition):

-3113-0409. “Outcome prediction and structure discovery in healthcare data.” 2016. Web. 25 Mar 2019.

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

Vancouver:

-3113-0409. Outcome prediction and structure discovery in healthcare data. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/2152/43726.

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

Council of Science Editors:

-3113-0409. Outcome prediction and structure discovery in healthcare data. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/43726

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

10. Shea, Christine. APROVE: A Stable and Robust VANET Clustering Scheme using Affinity Propagation.

Degree: 2009, University of Toronto

The need for an effective clustering algorithm for Vehicle Ad Hoc Networks (VANETs) is motivated by the recent research in cluster-based MAC and routing schemes.… (more)

Subjects/Keywords: Clustering; Vehicle Ad hoc Networks; Affinity Propagation; 0544

…APROVE: A Stable and Robust VANET Clustering Scheme using Affinity Propagation by… …using Affinity Propagation Christine Shea Master of Applied Science Graduate Department of… …scheme for Vehicle Ad hoc Networks, which forms clusters using the Affinity Propagation… …2.3.2 Affinity Propagation . . . . . . . . . . . . . . . . . . . . . . . . . 18 Factor… …Belief Propagation and Loopy Belief Propagation . . . . . . . . . 27 Derivation of Affinity… 

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APA (6th Edition):

Shea, C. (2009). APROVE: A Stable and Robust VANET Clustering Scheme using Affinity Propagation. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/18879

Chicago Manual of Style (16th Edition):

Shea, Christine. “APROVE: A Stable and Robust VANET Clustering Scheme using Affinity Propagation.” 2009. Masters Thesis, University of Toronto. Accessed March 25, 2019. http://hdl.handle.net/1807/18879.

MLA Handbook (7th Edition):

Shea, Christine. “APROVE: A Stable and Robust VANET Clustering Scheme using Affinity Propagation.” 2009. Web. 25 Mar 2019.

Vancouver:

Shea C. APROVE: A Stable and Robust VANET Clustering Scheme using Affinity Propagation. [Internet] [Masters thesis]. University of Toronto; 2009. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/1807/18879.

Council of Science Editors:

Shea C. APROVE: A Stable and Robust VANET Clustering Scheme using Affinity Propagation. [Masters Thesis]. University of Toronto; 2009. Available from: http://hdl.handle.net/1807/18879


University of Waterloo

11. Chang, Guoting. Robot Motion and Task Learning with Error Recovery.

Degree: 2013, University of Waterloo

 The ability to learn is essential for robots to function and perform services within a dynamic human environment. Robot programming by demonstration facilitates learning through… (more)

Subjects/Keywords: robot learning; learning by imitation; hierarchical model; dynamic movement primitive; affinity propagation; Petri net; motion modeling; motion recognition; object recognition; task modeling; error recovery

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APA (6th Edition):

Chang, G. (2013). Robot Motion and Task Learning with Error Recovery. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/7627

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):

Chang, Guoting. “Robot Motion and Task Learning with Error Recovery.” 2013. Thesis, University of Waterloo. Accessed March 25, 2019. http://hdl.handle.net/10012/7627.

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

MLA Handbook (7th Edition):

Chang, Guoting. “Robot Motion and Task Learning with Error Recovery.” 2013. Web. 25 Mar 2019.

Vancouver:

Chang G. Robot Motion and Task Learning with Error Recovery. [Internet] [Thesis]. University of Waterloo; 2013. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/10012/7627.

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

Council of Science Editors:

Chang G. Robot Motion and Task Learning with Error Recovery. [Thesis]. University of Waterloo; 2013. Available from: http://hdl.handle.net/10012/7627

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


Université de Montréal

12. Partington, Kevin. Régionalisation et synthèse des patrons de la végétation du Québec : utilisation d'indices de patrons à l'échelle provinciale .

Degree: 2012, Université de Montréal

Subjects/Keywords: Québec; Paysage; Patron; Indice; Groupement; Exemplar; Forêt; Classification; Représentativité; Affinity propagation; Quebec; Landscape; Pattern; Metric; Clustering; Exemplar; Forest; Classification; Representativeness; Affinity propagation

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APA (6th Edition):

Partington, K. (2012). Régionalisation et synthèse des patrons de la végétation du Québec : utilisation d'indices de patrons à l'échelle provinciale . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/8802

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):

Partington, Kevin. “Régionalisation et synthèse des patrons de la végétation du Québec : utilisation d'indices de patrons à l'échelle provinciale .” 2012. Thesis, Université de Montréal. Accessed March 25, 2019. http://hdl.handle.net/1866/8802.

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

MLA Handbook (7th Edition):

Partington, Kevin. “Régionalisation et synthèse des patrons de la végétation du Québec : utilisation d'indices de patrons à l'échelle provinciale .” 2012. Web. 25 Mar 2019.

Vancouver:

Partington K. Régionalisation et synthèse des patrons de la végétation du Québec : utilisation d'indices de patrons à l'échelle provinciale . [Internet] [Thesis]. Université de Montréal; 2012. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/1866/8802.

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

Council of Science Editors:

Partington K. Régionalisation et synthèse des patrons de la végétation du Québec : utilisation d'indices de patrons à l'échelle provinciale . [Thesis]. Université de Montréal; 2012. Available from: http://hdl.handle.net/1866/8802

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

13. Soltani, Mariem. Partitionnement des images hyperspectrales de grande dimension spatiale par propagation d'affinité : Partitioning of large size hyperspectral images by affinity propagation.

Degree: Docteur es, Traitement du signal et télécommunications, 2014, Rennes 1

Les images hyperspectrales suscitent un intérêt croissant depuis une quinzaine d'années. Elles fournissent une information plus détaillée d'une scène et permettent une discrimination plus précise… (more)

Subjects/Keywords: Partitionnement; Réduction; Classification; Non supervisée; Non paramétrique; Propagation d’affinité; Imagerie hyperspectrale; Grande taille spatiale; Validation; Détection; Plantes invasives; Partitioning; Reduction; Classification; Unsupervised; Non-Parametric; Affinity propagation; Hyperspectral image; Large spatial size; Validation; Detection; Invasive vegetation.

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APA (6th Edition):

Soltani, M. (2014). Partitionnement des images hyperspectrales de grande dimension spatiale par propagation d'affinité : Partitioning of large size hyperspectral images by affinity propagation. (Doctoral Dissertation). Rennes 1. Retrieved from http://www.theses.fr/2014REN1S099

Chicago Manual of Style (16th Edition):

Soltani, Mariem. “Partitionnement des images hyperspectrales de grande dimension spatiale par propagation d'affinité : Partitioning of large size hyperspectral images by affinity propagation.” 2014. Doctoral Dissertation, Rennes 1. Accessed March 25, 2019. http://www.theses.fr/2014REN1S099.

MLA Handbook (7th Edition):

Soltani, Mariem. “Partitionnement des images hyperspectrales de grande dimension spatiale par propagation d'affinité : Partitioning of large size hyperspectral images by affinity propagation.” 2014. Web. 25 Mar 2019.

Vancouver:

Soltani M. Partitionnement des images hyperspectrales de grande dimension spatiale par propagation d'affinité : Partitioning of large size hyperspectral images by affinity propagation. [Internet] [Doctoral dissertation]. Rennes 1; 2014. [cited 2019 Mar 25]. Available from: http://www.theses.fr/2014REN1S099.

Council of Science Editors:

Soltani M. Partitionnement des images hyperspectrales de grande dimension spatiale par propagation d'affinité : Partitioning of large size hyperspectral images by affinity propagation. [Doctoral Dissertation]. Rennes 1; 2014. Available from: http://www.theses.fr/2014REN1S099

14. Riegel, Ryan Nelson. Generalized N-body problems: a framework for scalable computation.

Degree: PhD, Computational Science and Engineering, 2013, Georgia Tech

 In the wake of the Big Data phenomenon, the computing world has seen a number of computational paradigms developed in response to the sudden need… (more)

Subjects/Keywords: Fast algorithms; Generalized algorithms; Tree codes; Complexity analysis; Database-resident computation; Machine learning; Nearest neighbors; Kernel sums; Affinity propagation; Kernel discriminant analysis; Quasar identification; Big data; Parallel processing (Electronic computers); Many-body problem; Algorithms

…iteration (left) and overall (right) running times for affinity propagation… …GNBPs and the GFMM by deriving a fast algorithm for the recently described affinity… …propagation method, achieving dramatic asymptotic speed-up. This chapter is arranged as follows: We… …which would incur O(N log N) work overall, propagation of results must be postponed… …computation of cached sufficient statistics and the propagation of postponed results, we explicitly… 

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APA (6th Edition):

Riegel, R. N. (2013). Generalized N-body problems: a framework for scalable computation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50269

Chicago Manual of Style (16th Edition):

Riegel, Ryan Nelson. “Generalized N-body problems: a framework for scalable computation.” 2013. Doctoral Dissertation, Georgia Tech. Accessed March 25, 2019. http://hdl.handle.net/1853/50269.

MLA Handbook (7th Edition):

Riegel, Ryan Nelson. “Generalized N-body problems: a framework for scalable computation.” 2013. Web. 25 Mar 2019.

Vancouver:

Riegel RN. Generalized N-body problems: a framework for scalable computation. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/1853/50269.

Council of Science Editors:

Riegel RN. Generalized N-body problems: a framework for scalable computation. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50269

.