Subspace methods for pattern recognition in intelligent environment / edited by Yen-Wei Chen, Lakhmi C. Jain.
Tipo de material:
TextoSeries Studies in Computational Intelligence ; 552Editor: Berlin, Heidelberg : Springer Berlin Heidelberg : Springer, 2014Descripción: xvi, 199 páginas : 99 ilustraciones, 52 ilustraciones en colorTipo de contenido: - texto
- computadora
- recurso en línea
- 9783642548512
- TA329-348
Contenidos:
Active Shape Model and Its Application to Face Alignment -- Condition Relaxation in Conditional Statistical Shape Models -- Independent Component Analysis and Its Application to Classification of High-Resolution Remote Sensing Images -- Subspace Construction from Artificially Generated Images for Traffic Sign Recognition -- Local Structure Preserving based Subspace Analysis Methods and Applications -- Sparse Representation for Image Super-Resolution -- Sampling and Recovery of Continuously-Defined Sparse Signals and Its Applications -- Tensor-Based Subspace Learning for Multi-Pose Face Synthesis.
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Active Shape Model and Its Application to Face Alignment -- Condition Relaxation in Conditional Statistical Shape Models -- Independent Component Analysis and Its Application to Classification of High-Resolution Remote Sensing Images -- Subspace Construction from Artificially Generated Images for Traffic Sign Recognition -- Local Structure Preserving based Subspace Analysis Methods and Applications -- Sparse Representation for Image Super-Resolution -- Sampling and Recovery of Continuously-Defined Sparse Signals and Its Applications -- Tensor-Based Subspace Learning for Multi-Pose Face Synthesis.
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