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You searched for +publisher:"University of Florida" +contributor:("Banerjee, Arunava"). Showing records 1 – 30 of 80 total matches.

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University of Florida

1. Chen, Zhe. Inference for the Number of Topics in the Latent Dirichlet Allocation Model via Bayesian Mixture Modelling.

Degree: PhD, Statistics, 2015, University of Florida

 Latent Dirichlet Allocation (LDA) is a model that is used for automatically organizing, understanding, searching, and summarizing a corpus of documents. Let V be the… (more)

Subjects/Keywords: Ergodic theory; Estimation methods; Estimators for the mean; Harmonic mean; Integers; Linear discriminant analysis; Markov chains; Normalizing; Statistical models; Wikipedia; allocation  – carlor  – chain  – dirichlet  – ergodicity  – latent  – markov  – mixture  – model  – modelling  – monte  – topic  – uniform

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APA (6th Edition):

Chen, Z. (2015). Inference for the Number of Topics in the Latent Dirichlet Allocation Model via Bayesian Mixture Modelling. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049399

Chicago Manual of Style (16th Edition):

Chen, Zhe. “Inference for the Number of Topics in the Latent Dirichlet Allocation Model via Bayesian Mixture Modelling.” 2015. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0049399.

MLA Handbook (7th Edition):

Chen, Zhe. “Inference for the Number of Topics in the Latent Dirichlet Allocation Model via Bayesian Mixture Modelling.” 2015. Web. 18 Jul 2019.

Vancouver:

Chen Z. Inference for the Number of Topics in the Latent Dirichlet Allocation Model via Bayesian Mixture Modelling. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0049399.

Council of Science Editors:

Chen Z. Inference for the Number of Topics in the Latent Dirichlet Allocation Model via Bayesian Mixture Modelling. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049399


University of Florida

2. Spanton, Shantih M. Network Models for Performance Analysis and Optimization.

Degree: PhD, Industrial and Systems Engineering, 2014, University of Florida

In this document, we consider three problems that model scenarios on a graph or transportation network, each of which includes various levels of uncertainty. We Advisors/Committee Members: GEUNES,JOSEPH PATRICK (committee chair), RICHARD,JEAN-PHILIPPE P (committee member), BANERJEE,ARUNAVA (committee member).

Subjects/Keywords: Customer service; Customers; Global positioning systems; Optics; Railroad trains; Service time; Taboos; Time windows; Travel time; Vehicles; datamining  – gps  – heuristics  – mip  – networks  – routing

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APA (6th Edition):

Spanton, S. M. (2014). Network Models for Performance Analysis and Optimization. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046945

Chicago Manual of Style (16th Edition):

Spanton, Shantih M. “Network Models for Performance Analysis and Optimization.” 2014. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0046945.

MLA Handbook (7th Edition):

Spanton, Shantih M. “Network Models for Performance Analysis and Optimization.” 2014. Web. 18 Jul 2019.

Vancouver:

Spanton SM. Network Models for Performance Analysis and Optimization. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0046945.

Council of Science Editors:

Spanton SM. Network Models for Performance Analysis and Optimization. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0046945


University of Florida

3. Kriminger, Evan G. An Effective and Robust Method for Active Constrained Clustering.

Degree: PhD, Electrical and Computer Engineering, 2015, University of Florida

 Constrained clustering methods seek to partition a dataset in accordance with the distance properties of the data, while also adhering to a set of linkage… (more)

Subjects/Keywords: Active learning; Datasets; Distance functions; Error rates; International conferences; Machine learning; Oracles; Outliers; Sonar; Voting; active-learning  – clustering  – constrained-clustering  – semi-supervised-learning

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APA (6th Edition):

Kriminger, E. G. (2015). An Effective and Robust Method for Active Constrained Clustering. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049468

Chicago Manual of Style (16th Edition):

Kriminger, Evan G. “An Effective and Robust Method for Active Constrained Clustering.” 2015. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0049468.

MLA Handbook (7th Edition):

Kriminger, Evan G. “An Effective and Robust Method for Active Constrained Clustering.” 2015. Web. 18 Jul 2019.

Vancouver:

Kriminger EG. An Effective and Robust Method for Active Constrained Clustering. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0049468.

Council of Science Editors:

Kriminger EG. An Effective and Robust Method for Active Constrained Clustering. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049468


University of Florida

4. Sethi, Manu. Incorporating Feature Matching and Supervoxels into Multiframe Optical Flow.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2015, University of Florida

 The focus in this dissertation is to estimate the motion of pixels in images. Specifically, we make contributions in the areas of image registration and… (more)

Subjects/Keywords: Computer vision; Data smoothing; Fourier transformations; Hogs; Images; Images of transformations; Line segments; Moving images; Objective functions; Pixels; flow  – majorization  – multiframe  – optical  – registration  – supervoxels

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APA (6th Edition):

Sethi, M. (2015). Incorporating Feature Matching and Supervoxels into Multiframe Optical Flow. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049274

Chicago Manual of Style (16th Edition):

Sethi, Manu. “Incorporating Feature Matching and Supervoxels into Multiframe Optical Flow.” 2015. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0049274.

MLA Handbook (7th Edition):

Sethi, Manu. “Incorporating Feature Matching and Supervoxels into Multiframe Optical Flow.” 2015. Web. 18 Jul 2019.

Vancouver:

Sethi M. Incorporating Feature Matching and Supervoxels into Multiframe Optical Flow. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0049274.

Council of Science Editors:

Sethi M. Incorporating Feature Matching and Supervoxels into Multiframe Optical Flow. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049274


University of Florida

5. Sk, Minhazul Islam. Automatic Discovery of Latent Clusters in General Regression Models.

Degree: PhD, Computer Science - Computer and Information Science and Engineering, 2017, University of Florida

 We present a flexible nonparametric Bayesian framework for automatic detection of local clusters in general regression models. The models are built using techniques that are… (more)

Subjects/Keywords: dirichlet-process  – regression  – statistics

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APA (6th Edition):

Sk, M. I. (2017). Automatic Discovery of Latent Clusters in General Regression Models. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0050875

Chicago Manual of Style (16th Edition):

Sk, Minhazul Islam. “Automatic Discovery of Latent Clusters in General Regression Models.” 2017. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0050875.

MLA Handbook (7th Edition):

Sk, Minhazul Islam. “Automatic Discovery of Latent Clusters in General Regression Models.” 2017. Web. 18 Jul 2019.

Vancouver:

Sk MI. Automatic Discovery of Latent Clusters in General Regression Models. [Internet] [Doctoral dissertation]. University of Florida; 2017. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0050875.

Council of Science Editors:

Sk MI. Automatic Discovery of Latent Clusters in General Regression Models. [Doctoral Dissertation]. University of Florida; 2017. Available from: http://ufdc.ufl.edu/UFE0050875


University of Florida

6. Pal, Subhadip. Development and Analysis of New Markov Chain Monte Carlo (MCMC) Algorithms.

Degree: PhD, Statistics, 2015, University of Florida

 Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing in the last two decades. MCMC methods have enabled the development and use of intricate… (more)

Subjects/Keywords: Autocorrelation; Ergodic theory; Markov chains; Matrices; Modeling; Regression analysis; Sandwiches; Statistical discrepancies; Statistical models; Statistics; envelope  – geometricergodicity  – mcmc

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APA (6th Edition):

Pal, S. (2015). Development and Analysis of New Markov Chain Monte Carlo (MCMC) Algorithms. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049047

Chicago Manual of Style (16th Edition):

Pal, Subhadip. “Development and Analysis of New Markov Chain Monte Carlo (MCMC) Algorithms.” 2015. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0049047.

MLA Handbook (7th Edition):

Pal, Subhadip. “Development and Analysis of New Markov Chain Monte Carlo (MCMC) Algorithms.” 2015. Web. 18 Jul 2019.

Vancouver:

Pal S. Development and Analysis of New Markov Chain Monte Carlo (MCMC) Algorithms. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0049047.

Council of Science Editors:

Pal S. Development and Analysis of New Markov Chain Monte Carlo (MCMC) Algorithms. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049047


University of Florida

7. Shin, Junsu. Mass and Size Estimation of Citrus Fruit by Machine Vision and Citrus Greening Diseased Fruit Detection Using Spectral Analysis.

Degree: M.E., Agricultural and Biological Engineering, 2012, University of Florida

 Citrus is the major fruit crop in Florida. Citrus industry occupiesa significant portion of Florida’s agricultural economy. There have been manyefforts to minimize producing costs,… (more)

Subjects/Keywords: Average linear density; Citrus fruits; Computer vision; Diameters; Diseases; Fruits; Image processing; Pixels; Regression analysis; Wavelengths; estimation  – image  – machine  – mass  – processing  – spectroscopy  – vision

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APA (6th Edition):

Shin, J. (2012). Mass and Size Estimation of Citrus Fruit by Machine Vision and Citrus Greening Diseased Fruit Detection Using Spectral Analysis. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044825

Chicago Manual of Style (16th Edition):

Shin, Junsu. “Mass and Size Estimation of Citrus Fruit by Machine Vision and Citrus Greening Diseased Fruit Detection Using Spectral Analysis.” 2012. Masters Thesis, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0044825.

MLA Handbook (7th Edition):

Shin, Junsu. “Mass and Size Estimation of Citrus Fruit by Machine Vision and Citrus Greening Diseased Fruit Detection Using Spectral Analysis.” 2012. Web. 18 Jul 2019.

Vancouver:

Shin J. Mass and Size Estimation of Citrus Fruit by Machine Vision and Citrus Greening Diseased Fruit Detection Using Spectral Analysis. [Internet] [Masters thesis]. University of Florida; 2012. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0044825.

Council of Science Editors:

Shin J. Mass and Size Estimation of Citrus Fruit by Machine Vision and Citrus Greening Diseased Fruit Detection Using Spectral Analysis. [Masters Thesis]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044825


University of Florida

8. Alagapan, Sankaraleengam. Information Propagation in In Vitro Networks of Neurons with Engineered Feedforward Structures.

Degree: PhD, Biomedical Engineering, 2014, University of Florida

 Research in neuroscience has shown that action potentials generated by neurons underlie most brain computation and the main features of the action potentials are the… (more)

Subjects/Keywords: Action potentials; Brain; Connectivity; Cultured cells; Data transmission; Electrodes; In vitro fertilization; Neurons; Neuroscience; Tunnels; functionalconnectivity  – informationfidelity  – microelectrodearrays  – microfluidicdevice  – neuronalnetworks  – patterning

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APA (6th Edition):

Alagapan, S. (2014). Information Propagation in In Vitro Networks of Neurons with Engineered Feedforward Structures. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046596

Chicago Manual of Style (16th Edition):

Alagapan, Sankaraleengam. “Information Propagation in In Vitro Networks of Neurons with Engineered Feedforward Structures.” 2014. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0046596.

MLA Handbook (7th Edition):

Alagapan, Sankaraleengam. “Information Propagation in In Vitro Networks of Neurons with Engineered Feedforward Structures.” 2014. Web. 18 Jul 2019.

Vancouver:

Alagapan S. Information Propagation in In Vitro Networks of Neurons with Engineered Feedforward Structures. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0046596.

Council of Science Editors:

Alagapan S. Information Propagation in In Vitro Networks of Neurons with Engineered Feedforward Structures. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0046596


University of Florida

9. Park, In Jun. A Computational Model for Animal Navigation in Turbulent Odor Plumes.

Degree: PhD, Electrical and Computer Engineering, 2014, University of Florida

 Animals can detect chemical cues using their olfactory systems and use these cues to locate an odor source. One of the currently accepted hypotheses is… (more)

Subjects/Keywords: Calcium; Decryption; Lobsters; Neurons; Odors; Plumes; Population estimates; Population size; Sensors; Signals; chemoreception  – coding  – deconvolution  – intermittency  – navigation  – neuron  – olfaction  – turbulence

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APA (6th Edition):

Park, I. J. (2014). A Computational Model for Animal Navigation in Turbulent Odor Plumes. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047377

Chicago Manual of Style (16th Edition):

Park, In Jun. “A Computational Model for Animal Navigation in Turbulent Odor Plumes.” 2014. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0047377.

MLA Handbook (7th Edition):

Park, In Jun. “A Computational Model for Animal Navigation in Turbulent Odor Plumes.” 2014. Web. 18 Jul 2019.

Vancouver:

Park IJ. A Computational Model for Animal Navigation in Turbulent Odor Plumes. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0047377.

Council of Science Editors:

Park IJ. A Computational Model for Animal Navigation in Turbulent Odor Plumes. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0047377


University of Florida

10. Twyford, Perry T. Spatiotemporally Precise Optical Stimulation System for Controlling Neural Activity In-Vitro.

Degree: PhD, Biomedical Engineering, 2011, University of Florida

 Optogenetics is an emerging field whose core technology enables optical, rather than the more traditional electrical, neural stimulation. What has yet to be addressed is… (more)

Subjects/Keywords: Electrical stimulation; Electrodes; High frequencies; In vitro fertilization; Ion channels; Neurons; Neuroscience; Opsins; Pixels; Quadrants; optogenetics

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APA (6th Edition):

Twyford, P. T. (2011). Spatiotemporally Precise Optical Stimulation System for Controlling Neural Activity In-Vitro. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043589

Chicago Manual of Style (16th Edition):

Twyford, Perry T. “Spatiotemporally Precise Optical Stimulation System for Controlling Neural Activity In-Vitro.” 2011. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0043589.

MLA Handbook (7th Edition):

Twyford, Perry T. “Spatiotemporally Precise Optical Stimulation System for Controlling Neural Activity In-Vitro.” 2011. Web. 18 Jul 2019.

Vancouver:

Twyford PT. Spatiotemporally Precise Optical Stimulation System for Controlling Neural Activity In-Vitro. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0043589.

Council of Science Editors:

Twyford PT. Spatiotemporally Precise Optical Stimulation System for Controlling Neural Activity In-Vitro. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043589


University of Florida

11. Huang, Lei. Survival And Reliability Analysis Under Polya Tree Processes Priors.

Degree: PhD, Statistics, 2013, University of Florida

 The thesis consists of three components, which are related to survival and lifetime data analysis. We propose a Bayesian nonparametric approach to testing treatment effects… (more)

Subjects/Keywords: Censored data; Censorship; Data analysis; Null hypothesis; Reliability functions; Sample size; Simulations; Statistical estimation; Statistical models; Statistics; nonparametric  – survival

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APA (6th Edition):

Huang, L. (2013). Survival And Reliability Analysis Under Polya Tree Processes Priors. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045745

Chicago Manual of Style (16th Edition):

Huang, Lei. “Survival And Reliability Analysis Under Polya Tree Processes Priors.” 2013. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0045745.

MLA Handbook (7th Edition):

Huang, Lei. “Survival And Reliability Analysis Under Polya Tree Processes Priors.” 2013. Web. 18 Jul 2019.

Vancouver:

Huang L. Survival And Reliability Analysis Under Polya Tree Processes Priors. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0045745.

Council of Science Editors:

Huang L. Survival And Reliability Analysis Under Polya Tree Processes Priors. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045745


University of Florida

12. Martinez Nino, Carlos Alberto. Studies on Statistical Genomics to Improve the Estimation of Allele Frequencies, Breed Composition, Variance Components, and Prediction of Additive Genetic Values.

Degree: PhD, Animal Sciences, 2017, University of Florida

 This dissertation is devoted to the development of novel statistical methods for point estimation and prediction that incorporate genomic information into a series of relevant… (more)

Subjects/Keywords: bayesian-inference  – genetics  – genomic-selection  – graphical-models  – prediction  – statistical-genomics

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APA (6th Edition):

Martinez Nino, C. A. (2017). Studies on Statistical Genomics to Improve the Estimation of Allele Frequencies, Breed Composition, Variance Components, and Prediction of Additive Genetic Values. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0051012

Chicago Manual of Style (16th Edition):

Martinez Nino, Carlos Alberto. “Studies on Statistical Genomics to Improve the Estimation of Allele Frequencies, Breed Composition, Variance Components, and Prediction of Additive Genetic Values.” 2017. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0051012.

MLA Handbook (7th Edition):

Martinez Nino, Carlos Alberto. “Studies on Statistical Genomics to Improve the Estimation of Allele Frequencies, Breed Composition, Variance Components, and Prediction of Additive Genetic Values.” 2017. Web. 18 Jul 2019.

Vancouver:

Martinez Nino CA. Studies on Statistical Genomics to Improve the Estimation of Allele Frequencies, Breed Composition, Variance Components, and Prediction of Additive Genetic Values. [Internet] [Doctoral dissertation]. University of Florida; 2017. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0051012.

Council of Science Editors:

Martinez Nino CA. Studies on Statistical Genomics to Improve the Estimation of Allele Frequencies, Breed Composition, Variance Components, and Prediction of Additive Genetic Values. [Doctoral Dissertation]. University of Florida; 2017. Available from: http://ufdc.ufl.edu/UFE0051012


University of Florida

13. Carvalho Santana, Ewaldo Eder, Jr. A Framework for Pattern Consolidation in Cognitive Architectures.

Degree: PhD, Electrical and Computer Engineering, 2017, University of Florida

 One of the most essential functions in human sensory processing is the ability to group a sequence of stimuli that impresses the senses into a… (more)

Subjects/Keywords: artificialintelligence  – deeplearning  – machinelearning

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APA (6th Edition):

Carvalho Santana, Ewaldo Eder, J. (2017). A Framework for Pattern Consolidation in Cognitive Architectures. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0050871

Chicago Manual of Style (16th Edition):

Carvalho Santana, Ewaldo Eder, Jr. “A Framework for Pattern Consolidation in Cognitive Architectures.” 2017. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0050871.

MLA Handbook (7th Edition):

Carvalho Santana, Ewaldo Eder, Jr. “A Framework for Pattern Consolidation in Cognitive Architectures.” 2017. Web. 18 Jul 2019.

Vancouver:

Carvalho Santana, Ewaldo Eder J. A Framework for Pattern Consolidation in Cognitive Architectures. [Internet] [Doctoral dissertation]. University of Florida; 2017. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0050871.

Council of Science Editors:

Carvalho Santana, Ewaldo Eder J. A Framework for Pattern Consolidation in Cognitive Architectures. [Doctoral Dissertation]. University of Florida; 2017. Available from: http://ufdc.ufl.edu/UFE0050871


University of Florida

14. Roy, Debarshi. Automatic Detection of Words Not Significant to Topic Classification in Latent Dirichlet Allocation.

Degree: MS, Computer Engineering - Computer and Information Science and Engineering, 2011, University of Florida

 Topic models, like Latent Dirichlet Allocation (LDA), have been recently used to automatically generate text corpora topics, and to subdivide the corpus words among those… (more)

Subjects/Keywords: Entropy; Inverse document frequency; Keywords; Latent semantic analysis; Linear discriminant analysis; Machine learning; Probabilistic modeling; Random variables; Statistical models; Word frequency analysis; entropy  – irrelevant  – lda  – modeling  – topic  – words

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APA (6th Edition):

Roy, D. (2011). Automatic Detection of Words Not Significant to Topic Classification in Latent Dirichlet Allocation. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043883

Chicago Manual of Style (16th Edition):

Roy, Debarshi. “Automatic Detection of Words Not Significant to Topic Classification in Latent Dirichlet Allocation.” 2011. Masters Thesis, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0043883.

MLA Handbook (7th Edition):

Roy, Debarshi. “Automatic Detection of Words Not Significant to Topic Classification in Latent Dirichlet Allocation.” 2011. Web. 18 Jul 2019.

Vancouver:

Roy D. Automatic Detection of Words Not Significant to Topic Classification in Latent Dirichlet Allocation. [Internet] [Masters thesis]. University of Florida; 2011. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0043883.

Council of Science Editors:

Roy D. Automatic Detection of Words Not Significant to Topic Classification in Latent Dirichlet Allocation. [Masters Thesis]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043883


University of Florida

15. Arslan, Bekir. Cryptographic Protocols Revocable Anonymity and E-Voting.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2009, University of Florida

 Our study lies in two areas of cryptographic protocols. The first area is anonymity, where we outline a protocol for anonymous communications supporting revocability and… (more)

Subjects/Keywords: Ballots; Cryptography; Data encryption; Electoral systems; Electronic voting; Electronics; Political candidates; Pseudonyms; Receipts; Voting; anonymity, auditing, coercionresistance, controlled, electronicvoting, evoting, mercuri, mixnet, paillier, paperreceipts, pseudonymity, pseudonyms, receiptfreeness, revocation, vvpr, writein, zeroknowledgeproofs

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APA (6th Edition):

Arslan, B. (2009). Cryptographic Protocols Revocable Anonymity and E-Voting. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0041188

Chicago Manual of Style (16th Edition):

Arslan, Bekir. “Cryptographic Protocols Revocable Anonymity and E-Voting.” 2009. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0041188.

MLA Handbook (7th Edition):

Arslan, Bekir. “Cryptographic Protocols Revocable Anonymity and E-Voting.” 2009. Web. 18 Jul 2019.

Vancouver:

Arslan B. Cryptographic Protocols Revocable Anonymity and E-Voting. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0041188.

Council of Science Editors:

Arslan B. Cryptographic Protocols Revocable Anonymity and E-Voting. [Doctoral Dissertation]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0041188


University of Florida

16. Li, Bo. Performance of Greedy Scheduling Algorithm in Wireless Networks.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2012, University of Florida

 One of the major challenges in wireless networking is how to optimize the link scheduling decisions under interference constraints. Recently, a few algorithms have been… (more)

Subjects/Keywords: Algorithms; Graph theory; Linear programming; Mathematical vectors; Matrices; Optimal solutions; Regional identity; Scheduling; Topology; Underestimates; channel-fading  – interference  – local-pooling  – longest-queue-first  – stability  – wireless-network-scheduling

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APA (6th Edition):

Li, B. (2012). Performance of Greedy Scheduling Algorithm in Wireless Networks. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044095

Chicago Manual of Style (16th Edition):

Li, Bo. “Performance of Greedy Scheduling Algorithm in Wireless Networks.” 2012. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0044095.

MLA Handbook (7th Edition):

Li, Bo. “Performance of Greedy Scheduling Algorithm in Wireless Networks.” 2012. Web. 18 Jul 2019.

Vancouver:

Li B. Performance of Greedy Scheduling Algorithm in Wireless Networks. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0044095.

Council of Science Editors:

Li B. Performance of Greedy Scheduling Algorithm in Wireless Networks. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044095


University of Florida

17. Buyuktahtakin, Ismet. Mixed Integer Programming Approaches to Lot-Sizing and Asset Replacement Problems.

Degree: PhD, Industrial and Systems Engineering, 2009, University of Florida

 MIXED INTEGER PROGRAMMING APPROACHES TO LOT-SIZING AND ASSET REPLACEMENT PROBLEMS In this dissertation, we develop mixed integer programming approaches for solving capacitated lot-sizing and parallel… (more)

Subjects/Keywords: Algorithms; Assets; Dynamic programming; Fixed charges; Fixed costs; Integer programming; Integers; Objective functions; Optimal solutions; Technological change; dynamic, integer, optimization, production, replacement

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APA (6th Edition):

Buyuktahtakin, I. (2009). Mixed Integer Programming Approaches to Lot-Sizing and Asset Replacement Problems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0025002

Chicago Manual of Style (16th Edition):

Buyuktahtakin, Ismet. “Mixed Integer Programming Approaches to Lot-Sizing and Asset Replacement Problems.” 2009. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0025002.

MLA Handbook (7th Edition):

Buyuktahtakin, Ismet. “Mixed Integer Programming Approaches to Lot-Sizing and Asset Replacement Problems.” 2009. Web. 18 Jul 2019.

Vancouver:

Buyuktahtakin I. Mixed Integer Programming Approaches to Lot-Sizing and Asset Replacement Problems. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0025002.

Council of Science Editors:

Buyuktahtakin I. Mixed Integer Programming Approaches to Lot-Sizing and Asset Replacement Problems. [Doctoral Dissertation]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0025002


University of Florida

18. Tan, Hengxing. Performance, Energy and Thermal Tradeoffs for Data Parallel Problems.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2016, University of Florida

 Enormous energy consumption has become rising threat to the environment. The explosively growing use of electronic products, especially large scale computer systems, significantly increases the… (more)

Subjects/Keywords: Architectural models; Computer memory; Electric potential; Energy consumption; Energy dissipation; Energy requirements; Heuristics; Modeling; Tradeoffs; Workloads; energy  – parallel  – power  – scheduling  – thermal  – workload

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APA (6th Edition):

Tan, H. (2016). Performance, Energy and Thermal Tradeoffs for Data Parallel Problems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049529

Chicago Manual of Style (16th Edition):

Tan, Hengxing. “Performance, Energy and Thermal Tradeoffs for Data Parallel Problems.” 2016. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0049529.

MLA Handbook (7th Edition):

Tan, Hengxing. “Performance, Energy and Thermal Tradeoffs for Data Parallel Problems.” 2016. Web. 18 Jul 2019.

Vancouver:

Tan H. Performance, Energy and Thermal Tradeoffs for Data Parallel Problems. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0049529.

Council of Science Editors:

Tan H. Performance, Energy and Thermal Tradeoffs for Data Parallel Problems. [Doctoral Dissertation]. University of Florida; 2016. Available from: http://ufdc.ufl.edu/UFE0049529


University of Florida

19. Smith, Anthony O. Category Space Dimensionality Reduction for Supervised Learning.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2013, University of Florida

 In this research, we investigate the reasons that make the multiclass classification problem difficult and suggest that category ambiguity is at the heart of the… (more)

Subjects/Keywords: Datasets; Dimensionality reduction; Discriminants; Distance functions; Inner products; Learning; Machine learning; Mathematical vectors; Objective functions; Vector spaces; classification  – multiclass  – orthogonal  – reduction

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APA (6th Edition):

Smith, A. O. (2013). Category Space Dimensionality Reduction for Supervised Learning. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045768

Chicago Manual of Style (16th Edition):

Smith, Anthony O. “Category Space Dimensionality Reduction for Supervised Learning.” 2013. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0045768.

MLA Handbook (7th Edition):

Smith, Anthony O. “Category Space Dimensionality Reduction for Supervised Learning.” 2013. Web. 18 Jul 2019.

Vancouver:

Smith AO. Category Space Dimensionality Reduction for Supervised Learning. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0045768.

Council of Science Editors:

Smith AO. Category Space Dimensionality Reduction for Supervised Learning. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045768


University of Florida

20. Kaya, Gokhan. Signal Coding and Reconstruction through a Framework Which Utilizes Naturally-Inspired Deterministic Spiking Models.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2016, University of Florida

 Spiking is the common form of action adopted by neurons which cumulatively creates the notion of activity in the nervous system. Any attempt on defining… (more)

Subjects/Keywords: Arithmetic mean; Electric pulses; Error rates; Membrane potential; Modeling; Neurons; Receptors; Sensory system; Signals; Time signals; computationalneuroscience  – neuroncoding  – signalcoding  – spikes

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APA (6th Edition):

Kaya, G. (2016). Signal Coding and Reconstruction through a Framework Which Utilizes Naturally-Inspired Deterministic Spiking Models. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0050379

Chicago Manual of Style (16th Edition):

Kaya, Gokhan. “Signal Coding and Reconstruction through a Framework Which Utilizes Naturally-Inspired Deterministic Spiking Models.” 2016. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0050379.

MLA Handbook (7th Edition):

Kaya, Gokhan. “Signal Coding and Reconstruction through a Framework Which Utilizes Naturally-Inspired Deterministic Spiking Models.” 2016. Web. 18 Jul 2019.

Vancouver:

Kaya G. Signal Coding and Reconstruction through a Framework Which Utilizes Naturally-Inspired Deterministic Spiking Models. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0050379.

Council of Science Editors:

Kaya G. Signal Coding and Reconstruction through a Framework Which Utilizes Naturally-Inspired Deterministic Spiking Models. [Doctoral Dissertation]. University of Florida; 2016. Available from: http://ufdc.ufl.edu/UFE0050379


University of Florida

21. Fisher, Nicholas. A Kernel Approach to Learning a Neuron Model from Spike Train Data.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2010, University of Florida

 A spiking neuron is a principal component of the brain and the nervous system. Understanding the characteristics of a single neuron as well as the… (more)

Subjects/Keywords: Approximation; Cell membranes; Histograms; Hyperplanes; Ions; Learning; Membrane potential; Modeling; Neurons; Synapses; classification, data, kernel, model, neuron, spike, spiking, time, train

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APA (6th Edition):

Fisher, N. (2010). A Kernel Approach to Learning a Neuron Model from Spike Train Data. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042012

Chicago Manual of Style (16th Edition):

Fisher, Nicholas. “A Kernel Approach to Learning a Neuron Model from Spike Train Data.” 2010. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0042012.

MLA Handbook (7th Edition):

Fisher, Nicholas. “A Kernel Approach to Learning a Neuron Model from Spike Train Data.” 2010. Web. 18 Jul 2019.

Vancouver:

Fisher N. A Kernel Approach to Learning a Neuron Model from Spike Train Data. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0042012.

Council of Science Editors:

Fisher N. A Kernel Approach to Learning a Neuron Model from Spike Train Data. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0042012


University of Florida

22. Mirzargar, Seyyedeh Mahsa. A Reconstruction Framework for Common Sampling Lattices.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2012, University of Florida

 Sampling and reconstruction appear ubiquitously in many scientific and engineering applications. Conventionally, the Cartesian lattice has been used, while sampling on certain non-Cartesian lattices is… (more)

Subjects/Keywords: Approximation; Boxes; Cartesianism; Conceptual lattices; Datasets; Face centered cubic lattices; Interpolation; Mathematical lattices; Polynomials; Signals; approximation  – quasi  – reconstruction  – splines  – voronoi

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APA (6th Edition):

Mirzargar, S. M. (2012). A Reconstruction Framework for Common Sampling Lattices. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044621

Chicago Manual of Style (16th Edition):

Mirzargar, Seyyedeh Mahsa. “A Reconstruction Framework for Common Sampling Lattices.” 2012. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0044621.

MLA Handbook (7th Edition):

Mirzargar, Seyyedeh Mahsa. “A Reconstruction Framework for Common Sampling Lattices.” 2012. Web. 18 Jul 2019.

Vancouver:

Mirzargar SM. A Reconstruction Framework for Common Sampling Lattices. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0044621.

Council of Science Editors:

Mirzargar SM. A Reconstruction Framework for Common Sampling Lattices. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044621


University of Florida

23. Singh Alvarado, Alexander. Time-Based Sampling using the Integrate and Fire Model.

Degree: PhD, Electrical and Computer Engineering, 2012, University of Florida

 The digital era is founded on the fact that analog signals have an equivalent representation in the digital domain. Nevertheless, turning to biology there are… (more)

Subjects/Keywords: Action potentials; Approximation; Electrocardiography; Engineering; Error rates; Heart rate; Mathematical vectors; Neurons; Signal processing; Signals; fire

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APA (6th Edition):

Singh Alvarado, A. (2012). Time-Based Sampling using the Integrate and Fire Model. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043614

Chicago Manual of Style (16th Edition):

Singh Alvarado, Alexander. “Time-Based Sampling using the Integrate and Fire Model.” 2012. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0043614.

MLA Handbook (7th Edition):

Singh Alvarado, Alexander. “Time-Based Sampling using the Integrate and Fire Model.” 2012. Web. 18 Jul 2019.

Vancouver:

Singh Alvarado A. Time-Based Sampling using the Integrate and Fire Model. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0043614.

Council of Science Editors:

Singh Alvarado A. Time-Based Sampling using the Integrate and Fire Model. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0043614


University of Florida

24. Bandyopadhyay, Nirmalya. Modeling Perturbations in Gene Regulatory and Signaling Networks.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2011, University of Florida

 Genes interact with each other through gene networks. A perturbation in the organism tissue can propagate to different parts of the network and affect the… (more)

Subjects/Keywords: Breast cancer; Datasets; Gene expression; Gene interaction; Genes; Mathematical independent variables; Mathematical variables; Objective functions; P values; Regulator genes; gene-regulation  – graphical-model  – machine-learning  – markov-random-field  – microarray  – perturbation  – regulatory-network  – signaling-network

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APA (6th Edition):

Bandyopadhyay, N. (2011). Modeling Perturbations in Gene Regulatory and Signaling Networks. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043564

Chicago Manual of Style (16th Edition):

Bandyopadhyay, Nirmalya. “Modeling Perturbations in Gene Regulatory and Signaling Networks.” 2011. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0043564.

MLA Handbook (7th Edition):

Bandyopadhyay, Nirmalya. “Modeling Perturbations in Gene Regulatory and Signaling Networks.” 2011. Web. 18 Jul 2019.

Vancouver:

Bandyopadhyay N. Modeling Perturbations in Gene Regulatory and Signaling Networks. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0043564.

Council of Science Editors:

Bandyopadhyay N. Modeling Perturbations in Gene Regulatory and Signaling Networks. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043564


University of Florida

25. Park, Il. Capturing Spike Train Similarity Structure A Point Process Divergence Approach.

Degree: PhD, Biomedical Engineering, 2010, University of Florida

 Neurons mostly communicate via stereotypical events called action potentials (or spikes for short) giving rise to a time series called the neural spike train. Spike… (more)

Subjects/Keywords: Action potentials; Distance functions; Estimators; Hilbert spaces; Neurons; Neuroscience; Probabilities; Statistical models; Statistics; Stochastic processes; computational, divergence, hypothesis, memming, neuron, neuroscience, point, probability, process, spike, statistics, train

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APA (6th Edition):

Park, I. (2010). Capturing Spike Train Similarity Structure A Point Process Divergence Approach. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042022

Chicago Manual of Style (16th Edition):

Park, Il. “Capturing Spike Train Similarity Structure A Point Process Divergence Approach.” 2010. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0042022.

MLA Handbook (7th Edition):

Park, Il. “Capturing Spike Train Similarity Structure A Point Process Divergence Approach.” 2010. Web. 18 Jul 2019.

Vancouver:

Park I. Capturing Spike Train Similarity Structure A Point Process Divergence Approach. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0042022.

Council of Science Editors:

Park I. Capturing Spike Train Similarity Structure A Point Process Divergence Approach. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0042022


University of Florida

26. Willis, Homer. Use of Mutual Information to Predict Protein-Protein Interactions.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2010, University of Florida

 USE OF MUTATION EVENTS AND MUTUAL INFORMATION TO PREDICT PROTEIN-PROTEIN INTERACTIONS By Homer Floyd Willis IV All biological functions in the living cell involve the… (more)

Subjects/Keywords: Amino acids; DNA; Genetic mutation; Genomes; HIV; Ligands; Modeling; Nuclear receptors; Phylogenetics; Topology; co, dna, hcv, influenza, mutual, nuclear, protein

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APA (6th Edition):

Willis, H. (2010). Use of Mutual Information to Predict Protein-Protein Interactions. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0021737

Chicago Manual of Style (16th Edition):

Willis, Homer. “Use of Mutual Information to Predict Protein-Protein Interactions.” 2010. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0021737.

MLA Handbook (7th Edition):

Willis, Homer. “Use of Mutual Information to Predict Protein-Protein Interactions.” 2010. Web. 18 Jul 2019.

Vancouver:

Willis H. Use of Mutual Information to Predict Protein-Protein Interactions. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0021737.

Council of Science Editors:

Willis H. Use of Mutual Information to Predict Protein-Protein Interactions. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0021737


University of Florida

27. Gurumoorthy,Karthik S. A Schrodinger Wave Mechanics Formalism for the Eikonal Problem and Its Associated Gradient Density Computation.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2011, University of Florida

Many computational techniques based on classical mechanics exist but surprisingly there isn't a concomitant Advisors/Committee Members: Banerjee, Arunava (committee chair), Ho, Jeffrey (committee member), Vemuri, Baba C (committee member), Gader, Paul D (committee member), Shabanov, Sergei (committee member).

Subjects/Keywords: Approximation; Distance functions; Eikonal equation; Error rates; Fourier transformations; Mathematics; Quantum mechanics; Steepest descent method; Wave equations; Wave functions

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APA (6th Edition):

S, G. (2011). A Schrodinger Wave Mechanics Formalism for the Eikonal Problem and Its Associated Gradient Density Computation. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043099

Chicago Manual of Style (16th Edition):

S, Gurumoorthy,Karthik. “A Schrodinger Wave Mechanics Formalism for the Eikonal Problem and Its Associated Gradient Density Computation.” 2011. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0043099.

MLA Handbook (7th Edition):

S, Gurumoorthy,Karthik. “A Schrodinger Wave Mechanics Formalism for the Eikonal Problem and Its Associated Gradient Density Computation.” 2011. Web. 18 Jul 2019.

Vancouver:

S G. A Schrodinger Wave Mechanics Formalism for the Eikonal Problem and Its Associated Gradient Density Computation. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0043099.

Council of Science Editors:

S G. A Schrodinger Wave Mechanics Formalism for the Eikonal Problem and Its Associated Gradient Density Computation. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043099


University of Florida

28. Horton, Joshua A. Normalized Maximum Likelihood on Variable-Length Sequence Datasets.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2014, University of Florida

 This work examines the minimal description length criterion and the normalized maximum likelihood distribution and derives extensions for applications in which data sequences are of… (more)

Subjects/Keywords: Datasets; Language; Linguistics; Mathematical sequences; Modeling; Parametric models; Statistical models; Syllables; Topology; Words; hidden-markov-models  – machine-learning  – model-selection  – normalized-maximum-likelihood

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APA (6th Edition):

Horton, J. A. (2014). Normalized Maximum Likelihood on Variable-Length Sequence Datasets. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047146

Chicago Manual of Style (16th Edition):

Horton, Joshua A. “Normalized Maximum Likelihood on Variable-Length Sequence Datasets.” 2014. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0047146.

MLA Handbook (7th Edition):

Horton, Joshua A. “Normalized Maximum Likelihood on Variable-Length Sequence Datasets.” 2014. Web. 18 Jul 2019.

Vancouver:

Horton JA. Normalized Maximum Likelihood on Variable-Length Sequence Datasets. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0047146.

Council of Science Editors:

Horton JA. Normalized Maximum Likelihood on Variable-Length Sequence Datasets. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0047146


University of Florida

29. Salehian, Hesamoddin. Incremental Algorithms for Statistical Analysis of Manifold Valued Data.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2014, University of Florida

 Manifold-valued features are ubiquitous in many applications in computer vision, machine learning and medical image analysis. Statistical analysis of a population of such data is… (more)

Subjects/Keywords: Computer vision; Distance functions; Estimators for the mean; Geometry; Gnomonic projection; Matrices; Principal components analysis; Riemann manifold; Statistical analysis; Tensors; incremental  – manifold  – statistics

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APA (6th Edition):

Salehian, H. (2014). Incremental Algorithms for Statistical Analysis of Manifold Valued Data. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047484

Chicago Manual of Style (16th Edition):

Salehian, Hesamoddin. “Incremental Algorithms for Statistical Analysis of Manifold Valued Data.” 2014. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0047484.

MLA Handbook (7th Edition):

Salehian, Hesamoddin. “Incremental Algorithms for Statistical Analysis of Manifold Valued Data.” 2014. Web. 18 Jul 2019.

Vancouver:

Salehian H. Incremental Algorithms for Statistical Analysis of Manifold Valued Data. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0047484.

Council of Science Editors:

Salehian H. Incremental Algorithms for Statistical Analysis of Manifold Valued Data. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0047484


University of Florida

30. Cheng, Guang. Algorithms for Tracking on the Manifold of Symmetric Positive Definite Matrices.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2012, University of Florida

 The problem of tracking on the manifold of n ×  n symmetric positive definite (SPD) matrices is an important problem and has many applications in several… (more)

Subjects/Keywords: Covariance; Datasets; Distance functions; Euclidean space; Gaussian distributions; Kalman filters; Matrices; Rats; Riemann manifold; Tensors; kalman  – manifold  – matrix  – spd  – tracking  – tractography

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APA (6th Edition):

Cheng, G. (2012). Algorithms for Tracking on the Manifold of Symmetric Positive Definite Matrices. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044073

Chicago Manual of Style (16th Edition):

Cheng, Guang. “Algorithms for Tracking on the Manifold of Symmetric Positive Definite Matrices.” 2012. Doctoral Dissertation, University of Florida. Accessed July 18, 2019. http://ufdc.ufl.edu/UFE0044073.

MLA Handbook (7th Edition):

Cheng, Guang. “Algorithms for Tracking on the Manifold of Symmetric Positive Definite Matrices.” 2012. Web. 18 Jul 2019.

Vancouver:

Cheng G. Algorithms for Tracking on the Manifold of Symmetric Positive Definite Matrices. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Jul 18]. Available from: http://ufdc.ufl.edu/UFE0044073.

Council of Science Editors:

Cheng G. Algorithms for Tracking on the Manifold of Symmetric Positive Definite Matrices. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044073

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