Advanced search options

Sorted by: relevance · author · university · date | New search

You searched for `+publisher:"University of Florida" +contributor:("Banerjee, Arunava")`

.
Showing records 1 – 30 of
80 total matches.

Search Limiters

Dates

- 2015 – 2019 (19)
- 2010 – 2014 (51)
- 2005 – 2009 (24)

▼ Search Limiters

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

URL: http://ufdc.ufl.edu/UFE0049399

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0046945

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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0049468

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0049274

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0050875

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0049047

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0044825

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0046596

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0047377

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0043589

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0045745

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0051012

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0050871

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0043883

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0041188

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0044095

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0025002

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0049529

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0045768

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0050379

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0042012

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0044621

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0043614

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0043564

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0042022

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0021737

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0043099

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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0047146

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0047484

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0044073

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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