Principal Manifolds and Probabilistic Subspaces for Visual Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Non-linear Bayesian Image Modelling
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Learning of Variability for Invariant Statistical Pattern Recognition
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
An efficient model order selection for PCA mixture model
Pattern Recognition Letters
Adaptation in Statistical Pattern Recognition Using Tangent Vectors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmenting motion capture data into distinct behaviors
GI '04 Proceedings of the 2004 Graphics Interface Conference
Automated hierarchical mixtures of probabilistic principal component analyzers
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Clustered Blockwise PCA for Representing Visual Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian Analysis of Mixtures of Factor Analyzers
Neural Computation
Resolution-Based Complexity Control for Gaussian Mixture Models
Neural Computation
Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models
The Journal of Machine Learning Research
Proceedings of the 24th international conference on Machine learning
Beamforming using the relevance vector machine
Proceedings of the 24th international conference on Machine learning
Sequential imputation for missing values
Computational Biology and Chemistry
Variational Bayesian functional PCA
Computational Statistics & Data Analysis
Research Article: Robust data imputation
Computational Biology and Chemistry
Non-linear matrix factorization with Gaussian processes
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Bayesian inference on principal component analysis using reversible jump Markov chain Monte Carlo
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Two-way analysis of high-dimensional collinear data
Data Mining and Knowledge Discovery
To obtain orthogonal feature extraction using training data selection
Proceedings of the 18th ACM conference on Information and knowledge management
PPCA-based missing data imputation for traffic flow volume: a systematical approach
IEEE Transactions on Intelligent Transportation Systems
Bayesian extreme components analysis
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Variational Bayesian mixture model on a subspace of exponential family distributions
IEEE Transactions on Neural Networks
Prior hyperparameters in Bayesian PCA
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Improving the robustness to outliers of mixtures of probabilistic PCAs
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Accounting for non-genetic factors improves the power of eQTL studies
RECOMB'08 Proceedings of the 12th annual international conference on Research in computational molecular biology
Sparse Bayesian learning of filters for efficient image expansion
IEEE Transactions on Image Processing
Orientation distance-based discriminative feature extraction for multi-class classification
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Bayesian joint optimization for topic model and clustering
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Feature extraction for fMRI-based human brain activity recognition
MLMI'10 Proceedings of the First international conference on Machine learning in medical imaging
Automatic rank determination in projective nonnegative matrix factorization
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
High dimensional non-linear modeling with Bayesian mixture of CCA
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
A survey of multilinear subspace learning for tensor data
Pattern Recognition
Intrinsic dimension estimation by maximum likelihood in isotropic probabilistic PCA
Pattern Recognition Letters
Variational relevance vector machines
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
A new distance criterion for face recognition using image sets
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Bayesian fuzzy clustering of colored graphs
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
A probabilistic model for image representation via multiple patterns
Pattern Recognition
Sampling normal distribution restricted on multiple regions
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
Bayesian Canonical correlation analysis
The Journal of Machine Learning Research
Learning a factor model via regularized PCA
Machine Learning
Maximum Likelihood Acoustic Factor Analysis Models for Robust Speaker Verification in Noise
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
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