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Transformation invariant component analysis for binary images

https://doi.org/10.1109/cvpr.2006.316

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.patrec.2005.11.005openalex-snapshot

Efficient adaptive density estimation per image pixel for the task of background subtraction

inferredcites →https://doi.org/10.1023/a:1007939232436openalex-snapshot

EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation

inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot

Gradient-based learning applied to document recognition

inferredcites →https://doi.org/10.1109/72.554192openalex-snapshot

Modeling the manifolds of images of handwritten digits

inferredcites →https://doi.org/10.1109/9780470544976.ch9openalex-snapshot

GradientBased Learning Applied to Document Recognition

inferredcites →https://doi.org/10.1109/cvpr.1993.341105openalex-snapshot

Layered representation for motion analysis

inferredcites →https://doi.org/10.1109/cvpr.2000.854728openalex-snapshot

Transformed hidden Markov models: estimating mixture models of images and inferring spatial transformations in video sequences

inferredcites →https://doi.org/10.1109/icip.2000.901003openalex-snapshot

Robust image registration using log-polar transform

inferredcites →https://doi.org/10.1109/tpami.2003.1159942openalex-snapshot

Transformation-invariant clustering using the EM algorithm

inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot

Maximum Likelihood from Incomplete Data Via the EM Algorithm

inferredcites →https://doi.org/10.1162/089976699300016728openalex-snapshot

Mixtures of Probabilistic Principal Component Analyzers

inferredcites →https://doi.org/10.1162/jocn.1991.3.1.71openalex-snapshot

Eigenfaces for Recognition

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Multi-activity Tracking in LLE Body Pose Space

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Learning Generative Models for Monocular Body Pose Estimation

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Factor Analysis of Incidence Data via Novel Decomposition of Matrices

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Dimensionality Reduction in Boolean Data: Comparison of Four BMF Methods

inferred← citeshttps://doi.org/10.1007/s11263-008-0158-0openalex-snapshot

Learning Generative Models for Multi-Activity Body Pose Estimation

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Factorization of matrices with grades

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Discovery of optimal factors in binary data via a novel method of matrix decomposition

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Gait recognition based on improved dynamic Bayesian networks

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Visual quasi-periodicity

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ShapeOdds: Variational Bayesian Learning of Generative Shape Models

inferred← citeshttps://doi.org/10.1109/fcc.2009.32openalex-snapshot

Human Pose Tracking Algorithm Based on Skeleton-Texture Model

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Illumination-robust face recognition using retina modeling

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Efficient PERCLOS and Gaze Measurement Methodologies to Estimate Driver Attention in Real Time

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Human detection using iterative feature selection and logistic principal component analysis

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Convolutional Neural Network and Histogram of Oriented Gradient Based Invariant Handwritten MODI Character Recognition

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Exploring the Latent Manifold of City Patterns

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Layered image model using binary PCA transparency masks

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