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NIPS
2004
13 years 6 months ago
Linear Multilayer Independent Component Analysis for Large Natural Scenes
In this paper, linear multilayer ICA (LMICA) is proposed for extracting independent components from quite high-dimensional observed signals such as large-size natural scenes. Ther...
Yoshitatsu Matsuda, Kazunori Yamaguchi
BMCV
2000
Springer
13 years 9 months ago
The Spectral Independent Components of Natural Scenes
Abstract. We apply independent component analysis (ICA) for learning an efficient color image representation of natural scenes. In the spectra of single pixels, the algorithm was a...
Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski
SCIA
2007
Springer
182views Image Analysis» more  SCIA 2007»
13 years 10 months ago
The Statistical Properties of Local Log-Contrast in Natural Images
Abstract. The study of natural image statistics considers the statistical properties of large collections of images from natural scenes, and has applications in image processing, c...
Jussi T. Lindgren, Jarmo Hurri, Aapo Hyvärine...
UAI
2008
13 years 6 months ago
Discovering Cyclic Causal Models by Independent Components Analysis
We generalize Shimizu et al's (2006) ICA-based approach for discovering linear non-Gaussian acyclic (LiNGAM) Structural Equation Models (SEMs) from causally sufficient, conti...
Gustavo Lacerda, Peter Spirtes, Joseph Ramsey, Pat...
ICMCS
2005
IEEE
138views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Overcomplete ICA-based Manmade Scene Classification
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
Matthew Boutell, Jiebo Luo