Mixtures of probabilistic principal component analyzers

A unifying review of linear Gaussian models

Neural Computation

Mode-Finding for Mixtures of Gaussian Distributions

IEEE Transactions on Pattern Analysis and Machine Intelligence

Information Theoretic Sensor Data Selection for Active Object Recognition and State Estimation

IEEE Transactions on Pattern Analysis and Machine Intelligence

Unsupervised Learning of Finite Mixture Models

IEEE Transactions on Pattern Analysis and Machine Intelligence

Hierarchical GTM: Constructing Localized Nonlinear Projection Manifolds in a Principled Way

IEEE Transactions on Pattern Analysis and Machine Intelligence

Ensemble of Independent Factor Analyzers with Application to Natural Image Analysis

Neural Processing Letters

Trainable videorealistic speech animation

Proceedings of the 29th annual conference on Computer graphics and interactive techniques

A Greedy EM Algorithm for Gaussian Mixture Learning

Neural Processing Letters

Principal Manifolds and Probabilistic Subspaces for Visual Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

Unsupervised learning in neural computation

Theoretical Computer Science - Natural computing

Face recognition using the mixture-of-eigenfaces method

Pattern Recognition Letters

A numeral character recognition using the PCA Mixture model

Pattern Recognition Letters

Products of Gaussians and probabilistic minor component analysis

Neural Computation

Modelling high-dimensional data by mixtures of factor analyzers

Computational Statistics & Data Analysis

A constrained EM algorithm for principal component analysis

Neural Computation

Variational mixture of Bayesian independent component analyzers

Neural Computation

Multilinear Analysis of Image Ensembles: TensorFaces

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I

Non-linear Bayesian Image Modelling

ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I

Variational Extensions to EM and Multinomial PCA

ECML '02 Proceedings of the 13th European Conference on Machine Learning

Texture Description by Independent Components

Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition

A Multi-purpose Visual Classification System

Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications

Visual Checking of Grasping Positions of a Three-Fingered Robot Hand

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Mixtures of Independent Component Analysers

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Missing Value Estimation Using Mixture of PCAs

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

Coordinating Principal Component Analyzers

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

Clustering of Gene Expression Data by Mixture of PCA Models

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

Correlation Visualization of High Dimensional Data Using Topographic Maps

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

A Soft k-Segments Algorithm for Principal Curves

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Mining Dependence Structures from Statistical Learning Perspective

IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning

Factorial Code Representation of Faces for Recognition

BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision

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

Proceedings of the 24th DAGM Symposium on Pattern Recognition

An efficient model order selection for PCA mixture model

Pattern Recognition Letters

A Framework for Robust Subspace Learning

International Journal of Computer Vision - Special Issue on Computational Vision at Brown University

BYY harmony learning, structural RPCL, and topological self-organizing on mixture models

Neural Networks - New developments in self-organizing maps

Clustering gene expression data in SQL using locally adaptive metrics

DMKD '03 Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery

Clustered principal components for precomputed radiance transfer

ACM SIGGRAPH 2003 Papers

Strip line detection and thinning by RPCL-based local PCA

Pattern Recognition Letters

Face recognition using LDA mixture model

Pattern Recognition Letters

The em algorithm for kernel matrix completion with auxiliary data

The Journal of Machine Learning Research

Think globally, fit locally: unsupervised learning of low dimensional manifolds

The Journal of Machine Learning Research

Recognizing faces with PCA and ICA

Computer Vision and Image Understanding - Special issue on Face recognition

Adaptation in Statistical Pattern Recognition Using Tangent Vectors

IEEE Transactions on Pattern Analysis and Machine Intelligence

Topic-based mixture language modelling

Natural Language Engineering

Combining spatial and colour information for content based image retrieval

Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval

Discriminatory mining of gene expression microarray data

Journal of VLSI Signal Processing Systems - Special issue on signal processing and neural networks for bioinformatics

Automated hierarchical mixtures of probabilistic principal component analyzers

ICML '04 Proceedings of the twenty-first international conference on Machine learning

Feature Selection for Unsupervised Learning

The Journal of Machine Learning Research

Almost autonomous training of mixtures of principal component analyzers

Pattern Recognition Letters

A Mixed Factors Model for Dimension Reduction and Extraction of a Group Structure in Gene Expression Data

CSB '04 Proceedings of the 2004 IEEE Computational Systems Bioinformatics Conference

Learning-based tracking of complex non-rigid motion

Journal of Computer Science and Technology

Sequential EM learning for subspace analysis

Pattern Recognition Letters

Principal components analysis competitive learning

Neural Computation

Locally Linear Discriminant Analysis for Multimodally Distributed Classes for Face Recognition with a Single Model Image

IEEE Transactions on Pattern Analysis and Machine Intelligence

Improved system for object detection and star/galaxy classification via local subspace analysis

Neural Networks - 2003 Special issue: Neural network analysis of complex scientific data: Astronomy and geosciences

Local fuzzy PCA based GMM with dimension reduction on speaker identification

Pattern Recognition Letters

Latent variable crossover for k-tablet structures and its application to lens design problems

GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation

Mesh-based inverse kinematics

ACM SIGGRAPH 2005 Papers

A New Image Representation Algorithm Inspired by Image Submodality Models, Redundancy Reduction, and Learning in Biological Vision

IEEE Transactions on Pattern Analysis and Machine Intelligence

Variable latent semantic indexing

Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining

Generalized Principal Component Analysis (GPCA)

IEEE Transactions on Pattern Analysis and Machine Intelligence

Mixtures of factor analyzers: an extension with covariates

Journal of Multivariate Analysis

Multibody Grouping by Inference of Multiple Subspaces from High-Dimensional Data Using Oriented-Frames

IEEE Transactions on Pattern Analysis and Machine Intelligence

A comparative investigation on subspace dimension determination

Neural Networks - 2004 Special issue: New developments in self-organizing systems

Online Model Selection Based on the Variational Bayes

Neural Computation

Bayesian Analysis of Mixtures of Factor Analyzers

Neural Computation

Resolution-Based Complexity Control for Gaussian Mixture Models

Neural Computation

The Bayesian Evidence Scheme for Regularizing Probability-Density Estimating Neural Networks

Neural Computation

The Diabolo Classifier

Neural Computation

Model Selection for Unsupervised Learning of Visual Context

International Journal of Computer Vision

Robust probabilistic projections

ICML '06 Proceedings of the 23rd international conference on Machine learning

Local distance preservation in the GP-LVM through back constraints

ICML '06 Proceedings of the 23rd international conference on Machine learning

Combined central and subspace clustering for computer vision applications

ICML '06 Proceedings of the 23rd international conference on Machine learning

Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models

IEEE Transactions on Pattern Analysis and Machine Intelligence

A Spectral Color Analysis and Colorization Technique

IEEE Computer Graphics and Applications

Nonlocal Estimation of Manifold Structure

Neural Computation

Face transfer with multilinear models

ACM SIGGRAPH 2006 Courses

Kernel PCA for novelty detection

Pattern Recognition

Adaptive self-organized maps based on bidirectional approximate reasoning and its applications to information filtering

Knowledge-Based Systems

Missing data imputation through GTM as a mixture of t-distributions

Neural Networks

Perception through visuomotor anticipation in a mobile robot

Neural Networks

Learning principal directions: Integrated-squared-error minimization

Neurocomputing

Locally adaptive metrics for clustering high dimensional data

Data Mining and Knowledge Discovery

Boosted manifold principal angles for image set-based recognition

Pattern Recognition

Modelling nonlinear count time series with local mixtures of Poisson autoregressions

Computational Statistics & Data Analysis

Learning Parts-Based Representations of Data

The Journal of Machine Learning Research

Sensitivity of PCA for traffic anomaly detection

Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems

Robust Pose Estimation and Recognition Using Non-Gaussian Modeling of Appearance Subspaces

IEEE Transactions on Pattern Analysis and Machine Intelligence

Deformation Models for Image Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

Local learning projections

Proceedings of the 24th international conference on Machine learning

3D model representation using adaptive volumetric extended Gaussian image

Proceedings of the 6th ACM international conference on Image and video retrieval

Image-Based Modeling by Joint Segmentation

International Journal of Computer Vision

MusicSense: contextual music recommendation using emotional allocation modeling

Proceedings of the 15th international conference on Multimedia

Letters: An unified EM algorithm for PCA and KPCA

Neurocomputing

Mixtures of robust probabilistic principal component analyzers

Neurocomputing

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

Computational Statistics & Data Analysis

A method of illumination compensation for human face image based on quotient image

Information Sciences: an International Journal

Highlight analysis using a mixture model of probabilistic PCA

ISPRA'05 Proceedings of the 4th WSEAS International Conference on Signal Processing, Robotics and Automation

On optimal degree selection for polynomial kernel with support vector machines: Theoretical and empirical investigations

International Journal of Knowledge-based and Intelligent Engineering Systems

Parsimonious Gaussian mixture models

Statistics and Computing

Expectation-maximization for sparse and non-negative PCA

Proceedings of the 25th international conference on Machine learning

A new local PCA-SOM algorithm

Neurocomputing

Robust Nonparametric Probability Density Estimation by Soft Clustering

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

A Comparative Study on Data Smoothing Regularization for Local Factor Analysis

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

Monocular 3D tracking of articulated human motion in silhouette and pose manifolds

Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications

Soft clustering for nonparametric probability density function estimation

Pattern Recognition Letters

Tracking and recognizing actions of multiple hockey players using the boosted particle filter

Image and Vision Computing

The likelihood ratio decision criterion for nuisance attribute projection in GMM speaker verification

EURASIP Journal on Advances in Signal Processing

Probabilistic approach to detecting dependencies between data sets

Neurocomputing

A Generative Shape Regularization Model for Robust Face Alignment

ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I

Spectral Curvature Clustering (SCC)

International Journal of Computer Vision

Web Page Rank Prediction with PCA and EM Clustering

WAW '09 Proceedings of the 6th International Workshop on Algorithms and Models for the Web-Graph

Linear manifold topographic map formation based on an energy function with on-line adaptation rules

Neurocomputing

An Approximation Method of the Quadratic Discriminant Function and Its Application to Estimation of High-Dimensional Distribution

IEICE - Transactions on Information and Systems

Theoretical Analysis and Comparison of Several Criteria on Linear Model Dimension Reduction

ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation

Robust probabilistic PCA with missing data and contribution analysis for outlier detection

Computational Statistics & Data Analysis

Information Maximization in a Linear Manifold Topographic Map

Neural Processing Letters

Learning nonlinear manifolds based on mixtures of localized linear manifolds under a self-organizing framework

Neurocomputing

Nonparametric Location Estimation for Probability Density Function Learning

IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence

The Complexity of the Batch Neural Gas Extended to Local PCA

IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence

Penalized factor mixture analysis for variable selection in clustered data

Computational Statistics & Data Analysis

Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-supervised Extension

ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II

Product of Gaussians for speech recognition

Computer Speech and Language

An activity-subspace approach for estimating the integrated input function and relative distribution volume in PET parametric imaging

IEEE Transactions on Information Technology in Biomedicine

Factor analysis latent subspace modeling and robust fuzzy clustering using t-distributions

IEEE Transactions on Fuzzy Systems

Image denoising using mixtures of projected Gaussian scale mixtures

IEEE Transactions on Image Processing

Probabilistic PCA self-organizing maps

IEEE Transactions on Neural Networks

Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models

Computational Statistics & Data Analysis

Bayesian extreme components analysis

IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence

Batch linear manifold topographic map with regional dimensionality estimation

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

Modified Gath--Geva clustering for fuzzy segmentation of multivariate time-series

Fuzzy Sets and Systems

Vacant parking space detector for outdoor parking lot by using surveillance camera and FCM classifier

FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems

Robust feature extractions from geometric data using geometric algebra

SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics

Automatic model selection by cross-validation for probabilistic PCA

Neural Processing Letters

A method for compact image representation using sparse matrix and tensor projections onto exemplar orthonormal bases

IEEE Transactions on Image Processing

A new probabilistic approach to on-line learning in artificial neural networks

ASMCSS'09 Proceedings of the 3rd International Conference on Applied Mathematics, Simulation, Modelling, Circuits, Systems and Signals

Self-organizing mixture models

Neurocomputing

Rapid and brief communication: Model-based mixture discriminant analysis-an experimental study

Pattern Recognition

2010 Special Issue: Local matrix learning in clustering and applications for manifold visualization

Neural Networks

Group-induced vector spaces

MCS'07 Proceedings of the 7th international conference on Multiple classifier systems

Face retrieval using 1st-and 2nd-order PCA mixture model

ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartII

Implementing the expert object recognition pathway

ICVS'03 Proceedings of the 3rd international conference on Computer vision systems

Integrating context-free and context-dependent attentional mechanisms for gestural object reference

ICVS'03 Proceedings of the 3rd international conference on Computer vision systems

Prior hyperparameters in Bayesian PCA

ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing

Recognition of gestural object reference with auditory feedback

ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing

Automatic model selection for probabilistic PCA

IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks

Self-organization of probabilistic PCA models

IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks

Robust Algebraic Segmentation of Mixed Rigid-Body and Planar Motions from Two Views

International Journal of Computer Vision

High capacity watermarking in nonedge texture under statistical distortion constraint

ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I

Soft clustering for nonparametric probability density function estimation

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

Noise removal from images by projecting onto bases of principal components

ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems

Spread-spectrum watermark by synthesizing texture

PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing

Mixture of the robust L1 distributions and its applications

AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence

Exploiting spatio-temporal constraints for robust 2D pose tracking

Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation

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

Condition assessment of power supply equipment based on Kernel principal component analysis and multi-class support vector machine

ICNC'09 Proceedings of the 5th international conference on Natural computation

Supervised learning of local projection kernels

Neurocomputing

Efficient learning and feature selection in high-dimensional regression

Neural Computation

Online multibody factorization based on Bayesian principal component analysis of Gaussian mixture models

ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I

2010 Special Issue: Visualization of multi-neuron activity by simultaneous optimization of clustering and dimension reduction

Neural Networks

Learning-based robot vision: principles and applications

Learning-based robot vision: principles and applications

A method for training finite mixture models under a fuzzy clustering principle

Fuzzy Sets and Systems

Dimension reduction for model-based clustering

Statistics and Computing

Probabilistic self-organizing maps for continuous data

IEEE Transactions on Neural Networks

Motion segmentation with missing data using power factorization and GPCA

CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition

Minimum effective dimension for mixtures of subspaces: a robust GPCA algorithm and its applications

CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition

The well-designed logical robot: Learning and experience from observations to the Situation Calculus

Artificial Intelligence

Local matrix adaptation in topographic neural maps

Neurocomputing

Compressive sensing on manifolds using a nonparametric mixture of factor analyzers: algorithm and performance bounds

IEEE Transactions on Signal Processing

Robust speaker recognition in cross-channel condition based on Gaussian mixture model

Multimedia Tools and Applications

Realtime performance-based facial animation

ACM SIGGRAPH 2011 papers

A bayesian approach to image-based visual hull reconstruction

CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition

Generalized principal component analysis (GPCA)

CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition

Matrix-variate and higher-order probabilistic projections

Data Mining and Knowledge Discovery

Improved realtime intrusion detection system

ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III

Extending mixtures of multivariate t-factor analyzers

Statistics and Computing

Statistical file matching of flow cytometry data

Journal of Biomedical Informatics

Relevance learning in unsupervised vector quantization based on divergences

WSOM'11 Proceedings of the 8th international conference on Advances in self-organizing maps

Novel approaches for synthesizing video textures

Expert Systems with Applications: An International Journal

Intrinsic dimension estimation by maximum likelihood in isotropic probabilistic PCA

Pattern Recognition Letters

A covariance-free iterative algorithm for distributed principal component analysis on vertically partitioned data

Pattern Recognition

Simultaneous model-based clustering and visualization in the Fisher discriminative subspace

Statistics and Computing

Improved kernel based intrusion detection system

ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II

Supervised learning on local tangent space

ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I

Face recognition using probabilistic two-dimensional principal component analysis and its mixture model

ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I

Face recognition from video using the generic shape-illumination manifold

ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV

Gossip-Based greedy gaussian mixture learning

PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics

Image recognition with LPP mixtures

CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I

Machine learning approach to realtime intrusion detection system

AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence

A new method for process monitoring based on mixture probabilistic principal component analysis models

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III

Facial expressions in American sign language: Tracking and recognition

Pattern Recognition

Manifold learning of vector fields

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I

Similarity measure for vector field learning

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I

A comparative study on selection of cluster number and local subspace dimension in the mixture PCA models

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I

Postsupervised hard c-means classifier

RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing

Global coordination based on matrix neural gas for dynamic texture synthesis

ANNPR'10 Proceedings of the 4th IAPR TC3 conference on Artificial Neural Networks in Pattern Recognition

Supervised learning for classification

FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II

Two-tier based intrusion detection system

FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II

Intrinsic dimensionality maps with the PCASOM

IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems

LPP and LPP mixtures for graph spectral clustering

PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology

Object localization by subspace clustering of local descriptors

ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing

Incremental anomaly detection approach for characterizing unusual profiles

Sensor-KDD'08 Proceedings of the Second international conference on Knowledge Discovery from Sensor Data

Human action recognition in videos using hybrid motion features

MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling

Auxiliary variational information maximization for dimensionality reduction

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

A theoretical investigation of several model selection criteria for dimensionality reduction

Pattern Recognition Letters

Probabilistic Fisher discriminant analysis: A robust and flexible alternative to Fisher discriminant analysis

Neurocomputing

A comparative study on TIBA imputation methods in FCMdd-based linear clustering with relational data

Advances in Fuzzy Systems - Special issue on Fuzzy Functions, Relations, and Fuzzy Transforms: Theoretical Aspects and Applications to Fuzzy Systems

Theoretical and practical considerations on the convergence properties of the Fisher-EM algorithm

Journal of Multivariate Analysis

A general framework for subspace detection in unordered multidimensional data

Pattern Recognition

Local and structural consistency for multi-manifold clustering

IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two

Stochastic approximation learning for mixtures of multivariate elliptical distributions

Neurocomputing

Riemannian Optimization on Tensor Products of Grassmann Manifolds: Applications to Generalized Rayleigh-Quotients

SIAM Journal on Matrix Analysis and Applications

Target reconstruction using manifold-based compressive sensing

IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering

Sparse hidden markov models for surgical gesture classification and skill evaluation

IPCAI'12 Proceedings of the Third international conference on Information Processing in Computer-Assisted Interventions

Achieving robust face recognition from video by combining a weak photometric model and a learnt generic face invariant

Pattern Recognition

Visual component analysis

VISSYM'04 Proceedings of the Sixth Joint Eurographics - IEEE TCVG conference on Visualization

Bayesian Robust PCA of Incomplete Data

Neural Processing Letters

Sketching faces

SBM'08 Proceedings of the Fifth Eurographics conference on Sketch-Based Interfaces and Modeling

Hybrid Linear Modeling via Local Best-Fit Flats

International Journal of Computer Vision

Multi-eigenspace learning for video-based face recognition

ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics

Parsimonious Mahalanobis kernel for the classification of high dimensional data

Pattern Recognition

A local distribution net for data clustering

PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence

Joint face alignment: rescue bad alignments with good ones by regularized re-fitting

ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II

Robust and efficient subspace segmentation via least squares regression

ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII

Estimating the total variability space using sparse probabilistic principal component analysis

CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition

Clustering and classification via cluster-weighted factor analyzers

Advances in Data Analysis and Classification

Full Length Article: A low-cost variational-Bayes technique for merging mixtures of probabilistic principal component analyzers

Information Fusion

Locality-Constrained active appearance model

ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I

A priori-driven PCA

ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2

Funclust: A curves clustering method using functional random variables density approximation

Neurocomputing

Learning a subspace for clustering via pattern shrinking

Information Processing and Management: an International Journal

Comparison between supervised and unsupervised learning of probabilistic linear discriminant analysis mixture models for speaker verification

Pattern Recognition Letters

Nonlocal estimation of manifold structure

Neural Computation

Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA

Advances in Data Analysis and Classification

Using conditional independence for parsimonious model-based Gaussian clustering

Statistics and Computing

Model-based clustering of high-dimensional data: A review

Computational Statistics & Data Analysis

Parsimonious skew mixture models for model-based clustering and classification

Computational Statistics & Data Analysis

Subspace clustering of high-dimensional data: a predictive approach

Data Mining and Knowledge Discovery

Maximum Likelihood Acoustic Factor Analysis Models for Robust Speaker Verification in Noise

IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)

A LASSO-penalized BIC for mixture model selection

Advances in Data Analysis and Classification