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Modeling the manifolds of images of handwritten digits
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Statistical Methods for Rates and Proportions
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The “Rubber-Mask” Technique-I, Pattern Measurement and Analysis
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The “rubber-mask” technique-II. Pattern storage and recognition
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Probabilistic neural networks
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A database for handwritten text recognition research
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Using generative models for handwritten digit recognition
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Factor Analysis Using Delta-Rule Wake-Sleep Learning
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Example Based Learning for View-Based Human Face Detection.
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Neural Networks for Pattern Recognition.
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Statistical Methods for Rates and Proportions.
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Neural networks for pattern recognition
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Separating appearance from deformation
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RPCL-based local PCA algorithm
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Face detection using a mixture of factor analyzers
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Robust FCMdd-based Linear Clustering for Relational Data with Alternative c-Means Criterion
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The adaptive subspace map for texture segmentation
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Manifold pursuit: a new approach to appearance based recognition
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Hand gesture recognition: self-organising maps as a graphical user interface for the partitioning of large training data sets
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Local context in non-linear deformation models for handwritten character recognition
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Large Margin Classifier Based on Affine Hulls
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Principal curve classifier-a nonlinear approach to pattern classification
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Handwritten digit recognition by neural 'gas' model and population decoding
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Locally linear independent component analysis
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Hierarchical probabilistic principal component subspaces for data visualization
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A neural visualization method for WWW document clusters
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A PCA mixture model with an efficient model selection method
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A unified view of probabilistic PCA and regularized linear fuzzy clustering
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Robust local principal component analyzer with fuzzy clustering
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A pooled subspace mixture density model for pattern classification in high-dimensional spaces
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Incremental learning for visual classification using Neural Gas
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Two-layer Mixture of Factor Analyzers with Joint Factor Loading
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Rate-Distortion Theory for General Sets and Measures
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Low-Dimensional Models for Dimensionality Reduction and Signal Recovery: A Geometric Perspective
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Transcribing Multi-Instrument Polyphonic Music With Hierarchical Eigeninstruments
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Stable Manifold Embeddings With Structured Random Matrices
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Unsupervised Learning Strategy for Direction-of-Arrival Estimation Network
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Continuous estimation of wrist torques with stack-autoencoder based deep neural network: A preliminary study
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Hierarchy of probabilistic principal component subspaces for data mining
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Discriminative mining of gene microarray data
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Non-rigid image registration by neural computations
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Fast classification of handwritten digits using 2D-DCT based sparse PCA
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Handwritten digits recognition using PCA of histogram of oriented gradient
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Dimensionality Reduction to Dynamically Reduce Data
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A dictionary based approach for non-parametric SPIN and application to image mixture separation
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Raw material selection for object construction
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Dynamic tactile sensing for object identification
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Acquisition and Application of a Tactile Database
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A greedy, adaptive approach to learning geometry of nonlinear manifolds
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Multi-Manifold Positive and Unlabeled Learning for Visual Analysis
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Efficient Model Selection for Mixtures of Probabilistic PCA Via Hierarchical BIC
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Regularized linear fuzzy clustering and probabilistic PCA mixture models
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Linear Fuzzy Clustering With Selection of Variables Using Graded Possibilistic Approach
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Fuzzy PCA-Guided Robust $k$-Means Clustering
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Detection of Adversarial Attacks via Disentangling Natural Images and Perturbations
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Information-theoretic matching of two point sets
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