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Irregular pixel imaging

Type: Conference Paper

Author : Sugathan, Sherin; James, Alex Pappachen

Publisher: IEEE

Year: 2014

Hierarchical Manifold Learning With Applications to Supervised Classification for High-Resolution Remotely Sensed Images

Type: Journal Paper

Author : Hong-Bing Huang; Hong Huo; Tao Fang

Publisher: IEEE

Year: 2014

A Nonlinear Semantic-Preserving Projection Approach to Visualize Multivariate Periodical Time Series

Type: Journal Paper

Author : Blanchart, Pierre; Depecker, Marine

Publisher: IEEE

Year: 2014

Mixer-like modeling with dynamic baseband characterization for supply-modulated PAs

Type: Conference Paper

Author : Gibiino, Gian Piero; Avolio, Gustavo; Schreurs, Dominique; Santarelli, Alberto; Filicori, Fabio

Publisher: IEEE

Year: 2014

Learning Regularized LDA by Clustering

Type: Journal Paper

Author : Yanwei Pang; Shuang Wang; Yuan Yuan

Publisher: IEEE

Year: 2014

Discriminant Locality Preserving Projections Based on L1-Norm Maximization

Type: Journal Paper

Author : Fujin Zhong; Jiashu Zhang; Defang Li

Publisher: IEEE

Year: 2014

Sample Space Dimensionality Refinement for Symmetrical Object Detection

Type: Journal Paper

Author : Yun-Fu Liu; Jing-Ming Guo; Chih-Hsien Hsia; Sheng-Yao Su; Hua Lee

Publisher: IEEE

Year: 2014

Discriminative Non-Linear Stationary Subspace Analysis for Video Classification

Type: Journal Paper

Author : Baktashmotlagh, Mahsa; Harandi, Mehrtash; Lovell, Brian C.; Salzmann, Mathieu

Publisher: IEEE

Year: 2014

Modeling of parallel systems filtration of discrete signals

Type: Conference Paper

Author : Gusyatnikov, V.N.; Karpova, V.M.

Publisher: IEEE

Year: 2014

Integration of track-to-track fusion into multiple-modely filter

Type: Conference Paper

Author : Hess, M.; Pourvoyeur, K.

Publisher: IEEE

Year: 2014

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Irregular pixel imaging

Hierarchical Manifold Learning With Applications to Supervised Classification for High-Resolution Remotely Sensed Images

A Nonlinear Semantic-Preserving Projection Approach to Visualize Multivariate Periodical Time Series

Mixer-like modeling with dynamic baseband characterization for supply-modulated PAs

Learning Regularized LDA by Clustering

Discriminant Locality Preserving Projections Based on L1-Norm Maximization

Sample Space Dimensionality Refinement for Symmetrical Object Detection

Discriminative Non-Linear Stationary Subspace Analysis for Video Classification

Modeling of parallel systems filtration of discrete signals

Integration of track-to-track fusion into multiple-modely filter

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Irregular pixel imaging

Hierarchical Manifold Learning With Applications to Supervised Classification for High-Resolution Remotely Sensed Images

A Nonlinear Semantic-Preserving Projection Approach to Visualize Multivariate Periodical Time Series

Mixer-like modeling with dynamic baseband characterization for supply-modulated PAs

Learning Regularized LDA by Clustering

Discriminant Locality Preserving Projections Based on L1-Norm Maximization

Sample Space Dimensionality Refinement for Symmetrical Object Detection

Discriminative Non-Linear Stationary Subspace Analysis for Video Classification

Modeling of parallel systems filtration of discrete signals

Integration of track-to-track fusion into multiple-modely filter