Latent variable models and factors analysis

Mixtures of probabilistic principal component analyzers

Neural Computation

Probabilistic modeling of transaction data with applications to profiling, visualization, and prediction

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining

Latent variable techniques for categorical data

Statistics and Computing

A Spectral Estimator of Arma Parameters from Thresholded Data

Statistics and Computing

A Probabilistic Framework for the Hierarchic Organisation and Classification of Document Collections

Journal of Intelligent Information Systems

Appearance Based Generic Object Modeling and Recognition Using Probabilistic Principal Component Analysis

Proceedings of the 24th DAGM Symposium on Pattern Recognition

Hierarchical latent class models for cluster analysis

Eighteenth national conference on Artificial intelligence

Latent concepts and the number orthogonal factors in latent semantic analysis

Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval

Factor models for multivariate count data

Journal of Multivariate Analysis

System Performance and Natural Language Expression of Information Needs

Information Retrieval

A Bayesian method for identifying independent sources of non-random spatial patterns

Statistics and Computing

Clustering Ensembles: Models of Consensus and Weak Partitions

IEEE Transactions on Pattern Analysis and Machine Intelligence

New d-separation identification results for learning continuous latent variable models

ICML '05 Proceedings of the 22nd international conference on Machine learning

Data-guided model combination by decomposition and aggregation

Machine Learning

2005 Special Issue: A systems approach to appraisal mechanisms in emotion

Neural Networks - Special issue: Emotion and brain

Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models

The Journal of Machine Learning Research

Noisy-OR Component Analysis and its Application to Link Analysis

The Journal of Machine Learning Research

Improved facial-feature detection for AVSP via unsupervised clustering and discriminant analysis

EURASIP Journal on Applied Signal Processing

Latent tree models and diagnosis in traditional Chinese medicine

Artificial Intelligence in Medicine

The EM algorithm for the extended finite mixture of the factor analyzers model

Computational Statistics & Data Analysis

ML estimation for factor analysis: EM or non-EM?

Statistics and Computing

Tests for consistent measurement of external subjective software quality attributes

Empirical Software Engineering

Parsimonious Gaussian mixture models

Statistics and Computing

Bayesian Ying-Yang Learning on Orthogonal Binary Factor Analysis

ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I

Latent classification models for binary data

Pattern Recognition

On multivariate binary data clustering and feature weighting

Computational Statistics & Data Analysis

Effective dimensions of hierarchical latent class models

Journal of Artificial Intelligence Research

Simulation-based approach to estimation of latent variable models

Computational Statistics & Data Analysis

Image denoising using mixtures of projected Gaussian scale mixtures

IEEE Transactions on Image Processing

Transformations in variational Bayesian factor analysis to speed up learning

Neurocomputing

Data mining for web personalization

The adaptive web

Semi-supervised Gaussian process latent variable model with pairwise constraints

Neurocomputing

Relevance units latent variable model and nonlinear dimensionality reduction

IEEE Transactions on Neural Networks

A variational Bayesian approach for the robust analysis of the cortical silent period from EMG recordings of brain stroke patients

Neurocomputing

Transfer latent variable model based on divergence analysis

Pattern Recognition

One-to-many neural network mapping techniques for face image synthesis

Expert Systems with Applications: An International Journal

Some aspects of latent structure analysis

SLSFS'05 Proceedings of the 2005 international conference on Subspace, Latent Structure and Feature Selection

Limited information estimation in binary factor analysis: A review and extension

Computational Statistics & Data Analysis

Demographic classification from face videos using manifold learning

Neurocomputing

Clustering and classification via cluster-weighted factor analyzers

Advances in Data Analysis and Classification