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Dept: Computer Science

You searched for subject:( Camada Semi Redutora). Showing records 1 – 16 of 16 total matches.

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Utah State University

1. Xin, Xing. A Singular-Value-Based Semi-Fragile Watermarking Scheme for Image Content Authentication with Tampering Localization.

Degree: MS, Computer Science, 2010, Utah State University

 This thesis presents a novel singular-value-based semi-fragile watermarking scheme for image content authentication with tampering localization. The proposed scheme first generates a secured watermark bit… (more)

Subjects/Keywords: semi-fragile; singular value; watermarking; Computer Sciences

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APA (6th Edition):

Xin, X. (2010). A Singular-Value-Based Semi-Fragile Watermarking Scheme for Image Content Authentication with Tampering Localization. (Masters Thesis). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/645

Chicago Manual of Style (16th Edition):

Xin, Xing. “A Singular-Value-Based Semi-Fragile Watermarking Scheme for Image Content Authentication with Tampering Localization.” 2010. Masters Thesis, Utah State University. Accessed August 20, 2019. https://digitalcommons.usu.edu/etd/645.

MLA Handbook (7th Edition):

Xin, Xing. “A Singular-Value-Based Semi-Fragile Watermarking Scheme for Image Content Authentication with Tampering Localization.” 2010. Web. 20 Aug 2019.

Vancouver:

Xin X. A Singular-Value-Based Semi-Fragile Watermarking Scheme for Image Content Authentication with Tampering Localization. [Internet] [Masters thesis]. Utah State University; 2010. [cited 2019 Aug 20]. Available from: https://digitalcommons.usu.edu/etd/645.

Council of Science Editors:

Xin X. A Singular-Value-Based Semi-Fragile Watermarking Scheme for Image Content Authentication with Tampering Localization. [Masters Thesis]. Utah State University; 2010. Available from: https://digitalcommons.usu.edu/etd/645


UCLA

2. Gursoy, Mehmet Emre. Preserving Privacy in Hierarchical Data Publishing.

Degree: Computer Science, 2015, UCLA

 Many applications today rely on storage and management of semi-structured information. Data stored in such databases often has to be shared with untrusted third parties… (more)

Subjects/Keywords: Computer science; anonymization; data privacy; data publishing; semi-structured data

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APA (6th Edition):

Gursoy, M. E. (2015). Preserving Privacy in Hierarchical Data Publishing. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/4jp3h2kg

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):

Gursoy, Mehmet Emre. “Preserving Privacy in Hierarchical Data Publishing.” 2015. Thesis, UCLA. Accessed August 20, 2019. http://www.escholarship.org/uc/item/4jp3h2kg.

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

MLA Handbook (7th Edition):

Gursoy, Mehmet Emre. “Preserving Privacy in Hierarchical Data Publishing.” 2015. Web. 20 Aug 2019.

Vancouver:

Gursoy ME. Preserving Privacy in Hierarchical Data Publishing. [Internet] [Thesis]. UCLA; 2015. [cited 2019 Aug 20]. Available from: http://www.escholarship.org/uc/item/4jp3h2kg.

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

Council of Science Editors:

Gursoy ME. Preserving Privacy in Hierarchical Data Publishing. [Thesis]. UCLA; 2015. Available from: http://www.escholarship.org/uc/item/4jp3h2kg

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


Boston University

3. Epstein, Samuel Randall. Information and distances.

Degree: PhD, Computer Science, 2013, Boston University

 We prove all randomized sampling methods produce outliers. Given a computable measure P over natural numbers or infinite binary sequences, there is no method that… (more)

Subjects/Keywords: Computer science; Camera Mouse; Kernel Semi-least Squares; Kolmogorov Complexity

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APA (6th Edition):

Epstein, S. R. (2013). Information and distances. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/13132

Chicago Manual of Style (16th Edition):

Epstein, Samuel Randall. “Information and distances.” 2013. Doctoral Dissertation, Boston University. Accessed August 20, 2019. http://hdl.handle.net/2144/13132.

MLA Handbook (7th Edition):

Epstein, Samuel Randall. “Information and distances.” 2013. Web. 20 Aug 2019.

Vancouver:

Epstein SR. Information and distances. [Internet] [Doctoral dissertation]. Boston University; 2013. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/2144/13132.

Council of Science Editors:

Epstein SR. Information and distances. [Doctoral Dissertation]. Boston University; 2013. Available from: http://hdl.handle.net/2144/13132


Wesleyan University

4. Kim, Theodore Seok. Cost Semantics for Plotkin's PCF.

Degree: Computer Science, 2016, Wesleyan University

  We develop a formalism for extracting recurrences from programs written in a variant of Plotkin's PCF, a typed higher-order functional language that integrates functions… (more)

Subjects/Keywords: Semi-automatic complexity analysis; general recursion; Plotkin's PCF

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APA (6th Edition):

Kim, T. S. (2016). Cost Semantics for Plotkin's PCF. (Masters Thesis). Wesleyan University. Retrieved from https://wesscholar.wesleyan.edu/etd_mas_theses/130

Chicago Manual of Style (16th Edition):

Kim, Theodore Seok. “Cost Semantics for Plotkin's PCF.” 2016. Masters Thesis, Wesleyan University. Accessed August 20, 2019. https://wesscholar.wesleyan.edu/etd_mas_theses/130.

MLA Handbook (7th Edition):

Kim, Theodore Seok. “Cost Semantics for Plotkin's PCF.” 2016. Web. 20 Aug 2019.

Vancouver:

Kim TS. Cost Semantics for Plotkin's PCF. [Internet] [Masters thesis]. Wesleyan University; 2016. [cited 2019 Aug 20]. Available from: https://wesscholar.wesleyan.edu/etd_mas_theses/130.

Council of Science Editors:

Kim TS. Cost Semantics for Plotkin's PCF. [Masters Thesis]. Wesleyan University; 2016. Available from: https://wesscholar.wesleyan.edu/etd_mas_theses/130


Wesleyan University

5. Raymond, Justin Ryan. Extracting Cost Recurrences From Sequential and Parallel Functional Programs.

Degree: Computer Science, 2016, Wesleyan University

  Complexity analysis aims to predict the resources, most often time and space, which a program requires. We build on previous work by Danner et… (more)

Subjects/Keywords: complexity analysis; recurrences; verification; semi-automatic complexity-analysis

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APA (6th Edition):

Raymond, J. R. (2016). Extracting Cost Recurrences From Sequential and Parallel Functional Programs. (Masters Thesis). Wesleyan University. Retrieved from https://wesscholar.wesleyan.edu/etd_mas_theses/132

Chicago Manual of Style (16th Edition):

Raymond, Justin Ryan. “Extracting Cost Recurrences From Sequential and Parallel Functional Programs.” 2016. Masters Thesis, Wesleyan University. Accessed August 20, 2019. https://wesscholar.wesleyan.edu/etd_mas_theses/132.

MLA Handbook (7th Edition):

Raymond, Justin Ryan. “Extracting Cost Recurrences From Sequential and Parallel Functional Programs.” 2016. Web. 20 Aug 2019.

Vancouver:

Raymond JR. Extracting Cost Recurrences From Sequential and Parallel Functional Programs. [Internet] [Masters thesis]. Wesleyan University; 2016. [cited 2019 Aug 20]. Available from: https://wesscholar.wesleyan.edu/etd_mas_theses/132.

Council of Science Editors:

Raymond JR. Extracting Cost Recurrences From Sequential and Parallel Functional Programs. [Masters Thesis]. Wesleyan University; 2016. Available from: https://wesscholar.wesleyan.edu/etd_mas_theses/132


Georgia Tech

6. Berlind, Christopher. New insights on the power of active learning.

Degree: PhD, Computer Science, 2015, Georgia Tech

 Traditional supervised machine learning algorithms are expected to have access to a large corpus of labeled examples, but the massive amount of data available in… (more)

Subjects/Keywords: Machine learning; Learning theory; Active learning; Semi-supervised learning; Domain adaptation; Large margin learning

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APA (6th Edition):

Berlind, C. (2015). New insights on the power of active learning. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53948

Chicago Manual of Style (16th Edition):

Berlind, Christopher. “New insights on the power of active learning.” 2015. Doctoral Dissertation, Georgia Tech. Accessed August 20, 2019. http://hdl.handle.net/1853/53948.

MLA Handbook (7th Edition):

Berlind, Christopher. “New insights on the power of active learning.” 2015. Web. 20 Aug 2019.

Vancouver:

Berlind C. New insights on the power of active learning. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/1853/53948.

Council of Science Editors:

Berlind C. New insights on the power of active learning. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53948

7. Vittapu, Mani Sarma. The data warehouse design problem through a schema transformation approach; The data warehouse design problem through a schema transformation approach.

Degree: Computer Science, 2013, Acharya Nagarjuna University

Abstract available

Appendix 96-148, Bibliography 149-152

Advisors/Committee Members: Prem chand, P.

Subjects/Keywords: Data Warehouse; Design Problem; Schema Transformation; Semi Automatic Schema

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APA (6th Edition):

Vittapu, M. S. (2013). The data warehouse design problem through a schema transformation approach; The data warehouse design problem through a schema transformation approach. (Thesis). Acharya Nagarjuna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/35584

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):

Vittapu, Mani Sarma. “The data warehouse design problem through a schema transformation approach; The data warehouse design problem through a schema transformation approach.” 2013. Thesis, Acharya Nagarjuna University. Accessed August 20, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/35584.

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

MLA Handbook (7th Edition):

Vittapu, Mani Sarma. “The data warehouse design problem through a schema transformation approach; The data warehouse design problem through a schema transformation approach.” 2013. Web. 20 Aug 2019.

Vancouver:

Vittapu MS. The data warehouse design problem through a schema transformation approach; The data warehouse design problem through a schema transformation approach. [Internet] [Thesis]. Acharya Nagarjuna University; 2013. [cited 2019 Aug 20]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/35584.

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

Council of Science Editors:

Vittapu MS. The data warehouse design problem through a schema transformation approach; The data warehouse design problem through a schema transformation approach. [Thesis]. Acharya Nagarjuna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/35584

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


Virginia Tech

8. Dabiri, Sina. Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data.

Degree: MS, Computer Science, 2018, Virginia Tech

 Identifying users' transportation modes (e.g., bike, bus, train, and car) is a key step towards many transportation related problems including (but not limited to) transport… (more)

Subjects/Keywords: Deep learning; semi-supervised learning; convolutional neural network; convolutional autoencoder; GPS trajectory data; Machine Learning; Travel Mode Detection

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APA (6th Edition):

Dabiri, S. (2018). Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/86845

Chicago Manual of Style (16th Edition):

Dabiri, Sina. “Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data.” 2018. Masters Thesis, Virginia Tech. Accessed August 20, 2019. http://hdl.handle.net/10919/86845.

MLA Handbook (7th Edition):

Dabiri, Sina. “Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data.” 2018. Web. 20 Aug 2019.

Vancouver:

Dabiri S. Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10919/86845.

Council of Science Editors:

Dabiri S. Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/86845


Mississippi State University

9. Modica, Giovanni Antonio. A Framework for Automatic Ontology Generation from Autonomous Web Applications.

Degree: MS, Computer Science, 2002, Mississippi State University

 Ontologies capture the structure, relationships, semantics and other essential meta information of an application. This thesis describes a framework to automate application interoperability by using… (more)

Subjects/Keywords: HTML/XML; semi-structured data; information retrieval; ontologies; web services; matching

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APA (6th Edition):

Modica, G. A. (2002). A Framework for Automatic Ontology Generation from Autonomous Web Applications. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-09032002-165210/ ;

Chicago Manual of Style (16th Edition):

Modica, Giovanni Antonio. “A Framework for Automatic Ontology Generation from Autonomous Web Applications.” 2002. Masters Thesis, Mississippi State University. Accessed August 20, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-09032002-165210/ ;.

MLA Handbook (7th Edition):

Modica, Giovanni Antonio. “A Framework for Automatic Ontology Generation from Autonomous Web Applications.” 2002. Web. 20 Aug 2019.

Vancouver:

Modica GA. A Framework for Automatic Ontology Generation from Autonomous Web Applications. [Internet] [Masters thesis]. Mississippi State University; 2002. [cited 2019 Aug 20]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-09032002-165210/ ;.

Council of Science Editors:

Modica GA. A Framework for Automatic Ontology Generation from Autonomous Web Applications. [Masters Thesis]. Mississippi State University; 2002. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-09032002-165210/ ;


University of Illinois – Urbana-Champaign

10. Maleki, Saeed. Communication avoiding parallel algorithms for amorphous problems.

Degree: PhD, Computer Science, 2015, University of Illinois – Urbana-Champaign

 Parallelizing large sized problem in parallel systems has always been a challenge for programmer. This difficulty is caused by the complexity of the existing systems… (more)

Subjects/Keywords: Amorphous; Symbolic; Parallel; Communication Avoiding; Linear Algebra; Tropical Semi-Ring; Single-Source Shortest Path; Dynamic Programming; Longest Common Subsequence; Smith-Waterman; Needleman-Wunsch; Viterbi Decoder; Parallel Notations

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APA (6th Edition):

Maleki, S. (2015). Communication avoiding parallel algorithms for amorphous problems. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/88981

Chicago Manual of Style (16th Edition):

Maleki, Saeed. “Communication avoiding parallel algorithms for amorphous problems.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 20, 2019. http://hdl.handle.net/2142/88981.

MLA Handbook (7th Edition):

Maleki, Saeed. “Communication avoiding parallel algorithms for amorphous problems.” 2015. Web. 20 Aug 2019.

Vancouver:

Maleki S. Communication avoiding parallel algorithms for amorphous problems. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/2142/88981.

Council of Science Editors:

Maleki S. Communication avoiding parallel algorithms for amorphous problems. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/88981


University of Southern California

11. Chu, Selina. Recognition and characterization of unstructured environmental sounds.

Degree: PhD, Computer Science, 2011, University of Southern California

 Environmental sounds are what we hear everyday, or more generally sounds that surround us – ambient or background audio. Human utilize both vision and hearing… (more)

Subjects/Keywords: unstructured audio classification; auditory scene recognition; environmental sounds; background modeling; semi-supervised learning; deep belief networks; unsupervised feature learning; generalization; data representation; feature extraction; feature selection; MFCC; matching pursuit

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APA (6th Edition):

Chu, S. (2011). Recognition and characterization of unstructured environmental sounds. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/477025/rec/5440

Chicago Manual of Style (16th Edition):

Chu, Selina. “Recognition and characterization of unstructured environmental sounds.” 2011. Doctoral Dissertation, University of Southern California. Accessed August 20, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/477025/rec/5440.

MLA Handbook (7th Edition):

Chu, Selina. “Recognition and characterization of unstructured environmental sounds.” 2011. Web. 20 Aug 2019.

Vancouver:

Chu S. Recognition and characterization of unstructured environmental sounds. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Aug 20]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/477025/rec/5440.

Council of Science Editors:

Chu S. Recognition and characterization of unstructured environmental sounds. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/477025/rec/5440


Arizona State University

12. Xiang, Jiang. Low Complexity Optical Flow Using Neighbor-Guided Semi-Global Matching.

Degree: Computer Science, 2017, Arizona State University

Subjects/Keywords: Computer engineering; Computer Vision; Low Complexity; Optical Flow; Parallel; Semi-Global Matching

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APA (6th Edition):

Xiang, J. (2017). Low Complexity Optical Flow Using Neighbor-Guided Semi-Global Matching. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/44132

Chicago Manual of Style (16th Edition):

Xiang, Jiang. “Low Complexity Optical Flow Using Neighbor-Guided Semi-Global Matching.” 2017. Masters Thesis, Arizona State University. Accessed August 20, 2019. http://repository.asu.edu/items/44132.

MLA Handbook (7th Edition):

Xiang, Jiang. “Low Complexity Optical Flow Using Neighbor-Guided Semi-Global Matching.” 2017. Web. 20 Aug 2019.

Vancouver:

Xiang J. Low Complexity Optical Flow Using Neighbor-Guided Semi-Global Matching. [Internet] [Masters thesis]. Arizona State University; 2017. [cited 2019 Aug 20]. Available from: http://repository.asu.edu/items/44132.

Council of Science Editors:

Xiang J. Low Complexity Optical Flow Using Neighbor-Guided Semi-Global Matching. [Masters Thesis]. Arizona State University; 2017. Available from: http://repository.asu.edu/items/44132

13. Hakkoymaz, Huseyin. Clustering Techniques for Data Mining and Protein Design Around The Concept of Locality.

Degree: Computer Science, 2010, University of California – Riverside

 Advances in technology have expedited the use of acquisition ability in computers to obtain data from diverse sources via sensors or imaging techniques with high… (more)

Subjects/Keywords: Computer Science; Biology, Bioinformatics; Complement System; Electrostatics; Magnetically Affected Paths; MAPClus; Molecular Similarity; Semi-supervised clustering

…11 2.1.2 Semi-Supervised Clustering… …relative to the quality of examples and the function learned. 3. Semi-Supervised Clustering: Semi… …labeled data is often critical to the success of the clustering process. Semi-supervised… …focus on the techniques that potentially increase the performance of unsupervised and semi… …which may be used for such mapping to improve the clustering quality. Semi-supervised… 

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APA (6th Edition):

Hakkoymaz, H. (2010). Clustering Techniques for Data Mining and Protein Design Around The Concept of Locality. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/1x99s8h5

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):

Hakkoymaz, Huseyin. “Clustering Techniques for Data Mining and Protein Design Around The Concept of Locality.” 2010. Thesis, University of California – Riverside. Accessed August 20, 2019. http://www.escholarship.org/uc/item/1x99s8h5.

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

MLA Handbook (7th Edition):

Hakkoymaz, Huseyin. “Clustering Techniques for Data Mining and Protein Design Around The Concept of Locality.” 2010. Web. 20 Aug 2019.

Vancouver:

Hakkoymaz H. Clustering Techniques for Data Mining and Protein Design Around The Concept of Locality. [Internet] [Thesis]. University of California – Riverside; 2010. [cited 2019 Aug 20]. Available from: http://www.escholarship.org/uc/item/1x99s8h5.

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

Council of Science Editors:

Hakkoymaz H. Clustering Techniques for Data Mining and Protein Design Around The Concept of Locality. [Thesis]. University of California – Riverside; 2010. Available from: http://www.escholarship.org/uc/item/1x99s8h5

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


University of Southern California

14. Fraser, Alexander M. Improved word alignments for statistical machine translation.

Degree: PhD, Computer Science, 2007, University of Southern California

 All state of the art statistical machine translation systems and many example-based machine translation systems depend on an annotation of word-level translational correspondence between sets… (more)

Subjects/Keywords: word alignment; machine translation; semi-supervised learning; statistical machine translation; discriminative models; generative models

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APA (6th Edition):

Fraser, A. M. (2007). Improved word alignments for statistical machine translation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/581561/rec/3400

Chicago Manual of Style (16th Edition):

Fraser, Alexander M. “Improved word alignments for statistical machine translation.” 2007. Doctoral Dissertation, University of Southern California. Accessed August 20, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/581561/rec/3400.

MLA Handbook (7th Edition):

Fraser, Alexander M. “Improved word alignments for statistical machine translation.” 2007. Web. 20 Aug 2019.

Vancouver:

Fraser AM. Improved word alignments for statistical machine translation. [Internet] [Doctoral dissertation]. University of Southern California; 2007. [cited 2019 Aug 20]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/581561/rec/3400.

Council of Science Editors:

Fraser AM. Improved word alignments for statistical machine translation. [Doctoral Dissertation]. University of Southern California; 2007. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/581561/rec/3400

15. Dhamanaskar, Alok Ajit. Bioinformatics workflow design using semantically annotated Web services.

Degree: MS, Computer Science, 2012, University of Georgia

 Recent years have seen a tremendous rise in the number of bioinformatics tools available as Web services. Availability of tools as Web services, open-up possibilities… (more)

Subjects/Keywords: semantic Web services; SAWSDL; semi-automatic workflow composition; ontologies; Web services; bioinformatics; galaxy; taverna; workflows; data integration

…Second, work was performed to improve and extend the previous work on suggestions for semi… 

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APA (6th Edition):

Dhamanaskar, A. A. (2012). Bioinformatics workflow design using semantically annotated Web services. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/dhamanaskar_alok_a_201208_ms

Chicago Manual of Style (16th Edition):

Dhamanaskar, Alok Ajit. “Bioinformatics workflow design using semantically annotated Web services.” 2012. Masters Thesis, University of Georgia. Accessed August 20, 2019. http://purl.galileo.usg.edu/uga_etd/dhamanaskar_alok_a_201208_ms.

MLA Handbook (7th Edition):

Dhamanaskar, Alok Ajit. “Bioinformatics workflow design using semantically annotated Web services.” 2012. Web. 20 Aug 2019.

Vancouver:

Dhamanaskar AA. Bioinformatics workflow design using semantically annotated Web services. [Internet] [Masters thesis]. University of Georgia; 2012. [cited 2019 Aug 20]. Available from: http://purl.galileo.usg.edu/uga_etd/dhamanaskar_alok_a_201208_ms.

Council of Science Editors:

Dhamanaskar AA. Bioinformatics workflow design using semantically annotated Web services. [Masters Thesis]. University of Georgia; 2012. Available from: http://purl.galileo.usg.edu/uga_etd/dhamanaskar_alok_a_201208_ms

16. Alzubaidi, Mohammad Abdulhadi Moh'D. Computational Methods for Perceptual Training in Radiology.

Degree: PhD, Computer Science, 2012, Arizona State University

 Medical images constitute a special class of images that are captured to allow diagnosis of disease, and their "correct" interpretation is vitally important. Because they… (more)

Subjects/Keywords: Computer science; Medical imaging and radiology; Anomaly Detection; Atypicality Detection; Chest Radiographs; Eye tracking for Radiology Training; Online Instance Selection; Semi-Transductive Learning

…A NOVEL SEMI-TRANSDUCTIVE LEARNING FRAMEWORK FOR EFFICIENT ATYPICALITY DETECTION IN CHEST… …Predictor...................................................... 236 The Proposed Semi-Transductive… …237 Semi-Transductive Performance Measures ....................... 239 Methodology… …239 xix Table XX. Page Semi-Transductive Implementation Study: Gaussian-Gaussian-1NN… …242 XXI. Semi-Transductive Implementation Study: Gaussian-OCSVM-1NN… 

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APA (6th Edition):

Alzubaidi, M. A. M. (2012). Computational Methods for Perceptual Training in Radiology. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/15128

Chicago Manual of Style (16th Edition):

Alzubaidi, Mohammad Abdulhadi Moh'D. “Computational Methods for Perceptual Training in Radiology.” 2012. Doctoral Dissertation, Arizona State University. Accessed August 20, 2019. http://repository.asu.edu/items/15128.

MLA Handbook (7th Edition):

Alzubaidi, Mohammad Abdulhadi Moh'D. “Computational Methods for Perceptual Training in Radiology.” 2012. Web. 20 Aug 2019.

Vancouver:

Alzubaidi MAM. Computational Methods for Perceptual Training in Radiology. [Internet] [Doctoral dissertation]. Arizona State University; 2012. [cited 2019 Aug 20]. Available from: http://repository.asu.edu/items/15128.

Council of Science Editors:

Alzubaidi MAM. Computational Methods for Perceptual Training in Radiology. [Doctoral Dissertation]. Arizona State University; 2012. Available from: http://repository.asu.edu/items/15128

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