Shinichi Nakajima

Minh N. Do

IEEE Trans. Signal Process., 2014

Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Analysis of Empirical MAP and Empirical Partially Bayes: Can They be Alternatives to Variational Bayes?

[BibT_eX]

[DOI]

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Variational Bayesian sparse additive matrix factorization.

[BibT_eX]

[DOI]

Mach. Learn., 2013

Global analytic solution of fully-observed variational Bayesian matrix factorization.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2013

Parametric Task Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Light field acquisition from blurred observations using a programmable coded aperture camera.

[BibT_eX]

[DOI]

Aggelos K. Katsaggelos

Proceedings of the 21st European Signal Processing Conference, 2013

2012

Sparse Additive Matrix Factorization for Robust PCA and Its Generalization.

[BibT_eX]

[DOI]

Proceedings of the 4th Asian Conference on Machine Learning, 2012

Perfect Dimensionality Recovery by Variational Bayesian PCA.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Probabilistic Low-Rank Subspace Clustering.

[BibT_eX]

[DOI]

Minh N. Do

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Theoretical Analysis of Bayesian Matrix Factorization.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

Insights from Classifying Visual Concepts with Multiple Kernel Learning

[BibT_eX]

[DOI]

CoRR, 2011

Attribute-Based MED System with Word Histograms.

[BibT_eX]

[DOI]

Takeshi Matsuo

Proceedings of the 2011 TREC Video Retrieval Evaluation, 2011

Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

On Bayesian PCA: Automatic Dimensionality Selection and Analytic Solution.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Semi-supervised local Fisher discriminant analysis for dimensionality reduction.

[BibT_eX]

[DOI]

Mach. Learn., 2010

Nikon Multimedia Event Detection System.

[BibT_eX]

[DOI]

Takeshi Matsuo

Proceedings of the TRECVID 2010 workshop participants notebook papers, 2010

Global Analytic Solution for Variational Bayesian Matrix Factorization.

[BibT_eX]

[DOI]

Ryota Tomioka

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Implicit Regularization in Variational Bayesian Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

Pool-based active learning in approximate linear regression.

[BibT_eX]

[DOI]

Mach. Learn., 2009

Feature Selection for Density Level-Sets.

[BibT_eX]

[DOI]

Marius Kloft

Ulf Brefeld

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Analysis of Variational Bayesian Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Multi-class image segmentation using conditional random fields and global classification.

[BibT_eX]

[DOI]

Nils Plath

Marc Toussaint

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

A procedure of adaptive kernel combination with kernel-target alignment for object classification.

[BibT_eX]

[DOI]

Motoaki Kawanabe

Alexander Binder

Proceedings of the 8th ACM International Conference on Image and Video Retrieval, 2009

2008

Pool-Based Agnostic Experiment Design in Linear Regression.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

2007

Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance.

[BibT_eX]

[DOI]

Neural Comput., 2007

Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Generalization Error of Automatic Relevance Determination.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2007

2006

Generalization Performance of Subspace Bayes Approach in Linear Neural Networks.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2006

Localized Bayes Estimation for Non-identifiable Models.

[BibT_eX]

[DOI]

Shingo Takamatsu

Proceedings of the Neural Information Processing, 13th International Conference, 2006

Analytic Solution of Hierarchical Variational Bayes in Linear Inverse Problem.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2006

2005

Generalization Error of Linear Neural Networks in an Empirical Bayes Approach.

[BibT_eX]

[DOI]