Handwritten Digit Recognition by a Mixture of Local PrincipalComponent Analysis
Neural Processing Letters
A unifying review of linear Gaussian models
Neural Computation
Mixtures of probabilistic principal component analyzers
Neural Computation
Mode-Finding for Mixtures of Gaussian Distributions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Simultaneous Identification of Face and Orientation
Neural Processing Letters
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Learning of Finite Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ensemble of Independent Factor Analyzers with Application to Natural Image Analysis
Neural Processing Letters
A re-weighting strategy for improving margins
Artificial Intelligence
Transformation-Invariant Clustering Using the EM Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
A numeral character recognition using the PCA Mixture model
Pattern Recognition Letters
Modelling high-dimensional data by mixtures of factor analyzers
Computational Statistics & Data Analysis
The Adaptive Subspace Map for Image Description and Image Database Retrieval
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Online Bayesian Video Summarization and Linking
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
An efficient model order selection for PCA mixture model
Pattern Recognition Letters
Hierarchical model-based clustering of large datasets through fractionation and refractionation
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Think globally, fit locally: unsupervised learning of low dimensional manifolds
The Journal of Machine Learning Research
Adaptation in Statistical Pattern Recognition Using Tangent Vectors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Topic-based mixture language modelling
Natural Language Engineering
Hierarchical model-based clustering of large datasets through fractionation and refractionation
Information Systems - Knowledge discovery and data mining (KDD 2002)
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Journal of VLSI Signal Processing Systems
Combining spatial and colour information for content based image retrieval
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Discriminatory mining of gene expression microarray data
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Almost autonomous training of mixtures of principal component analyzers
Pattern Recognition Letters
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
Machine Learning
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian Analysis of Mixtures of Factor Analyzers
Neural Computation
Discriminant Pattern Recognition Using Transformation-Invariant Neurons
Neural Computation
Neural Computation
Images, Frames, and Connectionist Hierarchies
Neural Computation
Handwritten digit classification using higher order singular value decomposition
Pattern Recognition
SMEM Algorithm for Mixture Models
Neural Computation
Deformation Models for Image Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face poser: interactive modeling of 3D facial expressions using model priors
SCA '07 Proceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer animation
Fast Transformation-Invariant Component Analysis
International Journal of Computer Vision
The EM algorithm for the extended finite mixture of the factor analyzers model
Computational Statistics & Data Analysis
Nearest hyperdisk methods for high-dimensional classification
Proceedings of the 25th international conference on Machine learning
Learning multiple linear manifolds with self-organizing networks
International Journal of Parallel, Emergent and Distributed Systems
Journal of Artificial Intelligence Research
Face poser: Interactive modeling of 3D facial expressions using facial priors
ACM Transactions on Graphics (TOG)
Learning Gaussian mixture models with entropy-based criteria
IEEE Transactions on Neural Networks
Active curve axis Gaussian mixture models
Pattern Recognition
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
Unsupervised learning of a kinematic arm model
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Fuzzy PCA-guided robust k-means clustering
IEEE Transactions on Fuzzy Systems
Locally linear online mapping for mining low-dimensional data manifolds
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Joint manifolds for data fusion
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
Large margin classifiers based on affine hulls
Neurocomputing
Entropy-based variational scheme for fast bayes learning of Gaussian mixtures
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
IEEE Transactions on Signal Processing
Staged mixture modelling and boosting
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Learning graphical models of images, videos and their spatial transformations
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Learning mixtures of DAG models
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Finite mixture models with negative components
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
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
Target reconstruction using manifold-based compressive sensing
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Self-Organising maps for classification with metropolis-hastings algorithm for supervision
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Hyperdisk based large margin classifier
Pattern Recognition
Mixtures of common factor analyzers for high-dimensional data with missing information
Journal of Multivariate Analysis
Intrinsic dimension estimation via nearest constrained subspace classifier
Pattern Recognition
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This paper describes two new methods for modeling the manifolds of digitized images of handwritten digits. The models allow a priori information about the structure of the manifolds to be combined with empirical data. Accurate modeling of the manifolds allows digits to be discriminated using the relative probability densities under the alternative models. One of the methods is grounded in principal components analysis, the other in factor analysis. Both methods are based on locally linear low-dimensional approximations to the underlying data manifold. Links with other methods that model the manifold are discussed