Search results for "latent structure"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	D. Mike Titterington	Some Aspects of Latent Structure Analysis.	SLSFS	2005	DBLP DOI BibTeX RDF
2	Jerome R. Bellegarda	Language-Independent Speaker Classification over a Far-Field Microphone.	Speaker Classification	2007	DBLP DOI BibTeX RDF	Spectral matching, global representation, latent structure, desktop voice login, distance metric
2	Roman Rosipal, Nicole Krämer	Overview and Recent Advances in Partial Least Squares.	SLSFS	2005	DBLP DOI BibTeX RDF
2	Dong Hua, Dechang Chen, Xiuzhen Cheng, Abdou Youssef	Latent Structure Models for the Analysis of Gene Expression Data.	CSB	2003	DBLP DOI BibTeX RDF
1	Michael Connor, Cynthia Fisher, Dan Roth	Online Latent Structure Training for Language Acquisition.	IJCAI	2011	DBLP BibTeX RDF
1	Eli Cortez, Daniel Oliveira, Altigran Soares da Silva, Edleno Silva de Moura, Alberto H. F. Laender	Joint unsupervised structure discovery and information extraction.	SIGMOD Conference	2011	DBLP DOI BibTeX RDF
1	Patrick O. Perry, Art B. Owen	A Rotation Test to Verify Latent Structure.	Journal of Machine Learning Research	2010	DBLP DOI BibTeX RDF
1	Suchi Saria, Daphne Koller, Anna Penn	Discovering shared and individual latent structure in multiple time series	CoRR	2010	DBLP BibTeX RDF
1	Andreas Maunz, Christoph Helma, Tobias Cramer, Stefan Kramer	Latent Structure Pattern Mining.	ECML/PKDD	2010	DBLP DOI BibTeX RDF
1	Luciano Barbosa, Juliana Freire	Using Latent-Structure to Detect Objects on the Web.	WebDB	2010	DBLP BibTeX RDF
1	Guoliang Xu, Bingtao Li, Qiyun Zhang, Xilan Tang, Hongning Liu, Bing Nie, Riyue Yu	An Approach for Metabonomics Data Analysis Based on Orthogonal Signal Correction Partical Least Square Discriminate Analysis.	APWCS	2010	DBLP DOI BibTeX RDF	Partial least squares to latent structure discriminant analysis (PLS-DA), orthogonal signal correction (OSC), Principal component analysis (PCA)
1	Said Kashoob, James Caverlee, Ying Ding	A Categorical Model for Discovering Latent Structure in Social Annotations.	ICWSM	2009	DBLP BibTeX RDF
1	R. Dean Malmgren, Jake M. Hofman, Luis A. Nunes Amaral, Duncan J. Watts	Characterizing individual communication patterns.	KDD	2009	DBLP DOI BibTeX RDF	cascading non-homogeneous poisson process, individual characterization, hidden Markov model, forward-backward algorithm
1	WenYen Chen, Jon-Chyuan Chu, Junyi Luan, Hongjie Bai, Yi Wang, Edward Y. Chang	Collaborative filtering for orkut communities: discovery of user latent behavior.	WWW	2009	DBLP DOI BibTeX RDF	latent topic models, data mining, recommender systems, collaborative filtering, association rule mining
1	Gelan Yang, Xue Xu, Li Tu	Manifold Alignment via Local Block Coordinate.	WKDD	2009	DBLP DOI BibTeX RDF
1	Jiayu Tang, Paul H. Lewis	Non-negative matrix factorisation for object class discovery and image auto-annotation.	CIVR	2008	DBLP DOI BibTeX RDF	non-negative matrix factorisation, object detection, automatic image annotation
1	Peng Huang, Ming-Hui Chen, Debajyoti Sinha	A Latent Model Approach to Study Postural Instability for Parkinson's Disease.	BMEI	2008	DBLP DOI BibTeX RDF	Binary process, Probit model, Brownian motion, Latent model, Random effects model
1	Gelan Yang, Xue Xu, Jianming Zhang	Manifold Alignment via Local Tangent Space Alignment.	CSSE	2008	DBLP DOI BibTeX RDF
1	Lin Guan, Tong-wen Wang, Yao Zhang, Li-jun Zhang	A Data Driven Knowledge Acquisition Method and Its Application in Power System Dynamic Stability Assessment.	ICMLA	2008	DBLP DOI BibTeX RDF
1	Kenichi Horie, Yoshiharu Maeno, Yukio Ohsawa	Human-Interactive Annealing Process with Pictogram for Extracting New Scenarios for Patent Technology.	Communications and Discoveries from Multidisciplinary Data	2008	DBLP DOI BibTeX RDF	data crystallization, unobservable events, Design, Human machine interaction, chance discovery, pictogram
1	Nevin Lianwen Zhang	Discovering Latent Structures: Experience with the CoIL Challenge 2000 Data Set.	International Conference on Computational Science	2007	DBLP DOI BibTeX RDF	Latent structure discovery, learning, Bayesian networks, case study
1	Arindam Banerjee, Hanhuai Shan	Latent Dirichlet Conditional Naive-Bayes Models.	ICDM	2007	DBLP DOI BibTeX RDF
1	David M. Kaplan, David M. Blei	A Computational Approach to Style in American Poetry.	ICDM	2007	DBLP DOI BibTeX RDF
1	Timo Volkmer, James A. Thom, Seyed M. M. Tahaghoghi	Modeling Human Judgment of Digital Imagery for Multimedia Retrieval.	IEEE Transactions on Multimedia	2007	DBLP DOI BibTeX RDF
1	Wen Dong, Alex Pentland	Modeling Influence Between Experts.	Artifical Intelligence for Human Computing	2007	DBLP DOI BibTeX RDF
1	Md. Nurul Haque Mollah, Mihoko Minami, Shinto Eguchi	Exploring Latent Structure of Mixture ICA Models by the Minimum ß-Divergence Method.	Neural Computation	2006	DBLP DOI BibTeX RDF
1	Craig Saunders, Marko Grobelnik, Steve R. Gunn, John Shawe-Taylor (eds.)	Subspace, Latent Structure and Feature Selection, Statistical and Optimization, Perspectives Workshop, SLSFS 2005, Bohinj, Slovenia, February 23-25, 2005, Revised Selected Papers	SLSFS	2006	DBLP BibTeX RDF
1	Kenichi Horie, Yoshiharu Maeno, Yukio Ohsawa	Designing New Product Scenarios for Patent by Human-Interactive Annealing with Pictogram.	ICDM Workshops	2006	DBLP DOI BibTeX RDF
1	Bethany R. Leffler, Michael L. Littman, Alexander L. Strehl, Thomas J. Walsh	Efficient Exploration With Latent Structure.	Robotics: Science and Systems	2005	DBLP BibTeX RDF
1	Aaron P. Shon, Keith Grochow, Aaron Hertzmann, Rajesh P. N. Rao	Learning Shared Latent Structure for Image Synthesis and Robotic Imitation.	NIPS	2005	DBLP BibTeX RDF
1	Christian Savu-Krohn, Peter Auer	A Simple Feature Extraction for High Dimensional Image Representations.	SLSFS	2005	DBLP DOI BibTeX RDF
1	Wray L. Buntine, Aleks Jakulin	Discrete Component Analysis.	SLSFS	2005	DBLP DOI BibTeX RDF
1	Florent Monay, Pedro Quelhas, Daniel Gatica-Perez, Jean-Marc Odobez	Constructing Visual Models with a Latent Space Approach.	SLSFS	2005	DBLP DOI BibTeX RDF
1	Avrim Blum	Random Projection, Margins, Kernels, and Feature-Selection.	SLSFS	2005	DBLP DOI BibTeX RDF
1	Dunja Mladenic	Feature Selection for Dimensionality Reduction.	SLSFS	2005	DBLP DOI BibTeX RDF
1	Charles Bouveyron, Stéphane Girard, Cordelia Schmid	Class-Specific Subspace Discriminant Analysis for High-Dimensional Data.	SLSFS	2005	DBLP DOI BibTeX RDF	class-specific subspaces, regularization, dimension reduction, Discriminant analysis
1	Felix V. Agakov, David Barber	Auxiliary Variational Information Maximization for Dimensionality Reduction.	SLSFS	2005	DBLP DOI BibTeX RDF
1	Jeremy Rogers, Steve R. Gunn	Identifying Feature Relevance Using a Random Forest.	SLSFS	2005	DBLP DOI BibTeX RDF
1	Juha Reunanen	Less Biased Measurement of Feature Selection Benefits.	SLSFS	2005	DBLP DOI BibTeX RDF
1	Amir Navot, Ran Gilad-Bachrach, Yiftah Navot, Naftali Tishby	Is Feature Selection Still Necessary?	SLSFS	2005	DBLP DOI BibTeX RDF
1	Andreas Maurer	Generalization Bounds for Subspace Selection and Hyperbolic PCA.	SLSFS	2005	DBLP DOI BibTeX RDF
1	Amit Gruber, Yair Weiss	Incorporating Constraints and Prior Knowledge into Factorization Algorithms - An Application to 3D Recovery.	SLSFS	2005	DBLP DOI BibTeX RDF
1	Shangming Yang, Zhang Yi	Fast ICA for Online Cashflow Analysis.	ISNN	2005	DBLP DOI BibTeX RDF
1	Anirban Dasgupta, John E. Hopcroft, Frank McSherry	Spectral Analysis of Random Graphs with Skewed Degree Distributions.	FOCS	2004	DBLP DOI BibTeX RDF
1	Shaojun Wang, Dale Schuurmans	Learning Continuous Latent Variable Models with Bregman Divergences.	ALT	2003	DBLP DOI BibTeX RDF	alternating minimization, forward projection, backward projection, iterative scaling, unsupervised learning, Bregman divergence, information geometry, statistical machine learning
1	David A. Van Dyk, Ruoxi Tang	The one-step-late PXEM algorithm.	Statistics and Computing	2003	DBLP DOI BibTeX RDF	dynamic linear model, one-step-late methods, PXEM algorithm, posterior modes, probit regression, working parameters, EM algorithm, MAP estimates, rate of convergence
1	Mark Girolami, Andrzej Cichocki, Shun-ichi Amari	A common neural-network model for unsupervised exploratory data analysis and independent component analysis.	IEEE Transactions on Neural Networks	1998	DBLP DOI BibTeX RDF
1	William K. Winters	A Modified Method of Latent Class Analysis for File Organization in Information Retrieval.	J. ACM	1965	DBLP DOI BibTeX RDF