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» Independent Component Analysis of Textures
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ICML
2007
IEEE
14 years 9 months ago
Local dependent components
We introduce a mixture of probabilistic canonical correlation analyzers model for analyzing local correlations, or more generally mutual statistical dependencies, in cooccurring d...
Arto Klami, Samuel Kaski
CVIU
2007
137views more  CVIU 2007»
13 years 8 months ago
Visual learning of texture descriptors for facial expression recognition in thermal imagery
Facial expression recognition is an active research area that finds a potential application in human emotion analysis. This work presents an illumination independent approach for...
Benjamín Hernández, Gustavo Olague, ...
BMCBI
2006
150views more  BMCBI 2006»
13 years 8 months ago
Protein structure similarity from principle component correlation analysis
Background: Owing to rapid expansion of protein structure databases in recent years, methods of structure comparison are becoming increasingly effective and important in revealing...
Xiaobo Zhou, James Chou, Stephen T. C. Wong
ICCV
2011
IEEE
12 years 8 months ago
Localized Principal Component Analysis based Curve Evolution: A Divide and Conquer Approach
We propose a novel localized principal component analysis (PCA) based curve evolution approach which evolves the segmenting curve semi-locally within various target regions (divis...
Vikram Appia, Balaji Ganapathy, Tracy Faber, Antho...
ICIAR
2004
Springer
14 years 2 months ago
A Fast Probabilistic Bidirectional Texture Function Model
The bidirectional texture function (BTF) describes rough texture appearance variations due to varying illumination and viewing conditions. Such a function consists of thousands of ...
Michal Haindl, Jirí Filip