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» Independent Component Analysis of Textures
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ICASSP
2010
IEEE
13 years 7 months ago
Independent subspace analysis with prior information for fMRI data
Independent component analysis (ICA) has been successfully applied for the analysis of functional magnetic resonance imaging (fMRI) data. However, independence might be too strong...
Sai Ma, Xi-Lin Li, Nicolle M. Correa, Tülay A...
CVPR
2008
IEEE
14 years 10 months ago
Intrinsic image decomposition with non-local texture cues
We present a method for decomposing an image into its intrinsic reflectance and shading components. Different from previous work, our method examines texture information to obtain...
Li Shen, Ping Tan, Stephen Lin
ECCV
2006
Springer
14 years 9 days ago
Spatial Segmentation of Temporal Texture Using Mixture Linear Models
In this paper we propose a novel approach for the spatial segmentation of video sequences containing multiple temporal textures. This work is based on the notion that a single tem...
Lee Cooper, Jun Liu, Kun Huang
JMIV
2010
78views more  JMIV 2010»
13 years 7 months ago
Mathematical Modeling of Textures: Application to Color Image Decomposition with a Projected Gradient Algorithm
: In this paper, we are interested in texture modeling with functional analysis spaces. We focus on the case of color image processing, and in particular color image decomposition....
Vincent Duval, Jean-François Aujol, Luminit...
SDM
2009
SIAM
130views Data Mining» more  SDM 2009»
14 years 5 months ago
FuncICA for Time Series Pattern Discovery.
We introduce FuncICA, a new independent component analysis method for pattern discovery in inherently functional data, such as time series data. FuncICA can be considered an analo...
Alexander Gray, Nishant Mehta