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» Kernel Independent Component Analysis
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102
Voted
ICASSP
2008
IEEE
15 years 8 months ago
An ICA-based multilinear algebra tools for dimensionality reduction in hyperspectral imagery
Dimensionality reduction (DR) is a major issue to improve the efficiency of the classifiers in Hyperspectral images (HSI). Recently, the independent component analysis (ICA) app...
Nadine Renard, Salah Bourennane
151
Voted
ICONIP
2007
15 years 3 months ago
Discovery of Linear Non-Gaussian Acyclic Models in the Presence of Latent Classes
Abstract. An effective way to examine causality is to conduct an experiment with random assignment. However, in many cases it is impossible or too expensive to perform controlled ...
Shohei Shimizu, Aapo Hyvärinen
95
Voted
MICCAI
2008
Springer
16 years 3 months ago
Regularized Discriminative Direction for Shape Difference Analysis
Abstract. The "discriminative direction" has been proven useful to reveal the subtle difference between two anatomical shape classes. When a shape moves along this direct...
Luping Zhou, Richard I. Hartley, Lei Wang, Paulett...
96
Voted
ICASSP
2010
IEEE
15 years 2 months ago
On the robustness of the multidimensional state coherence transform for solving the permutation problem of frequency-domain ICA
A common problem in frequency domain independent component analysis (ICA) is the so called permutation problem which arises due to the independent demixing in each frequency bin. ...
Benedikt Loesch, Francesco Nesta, Bin Yang
IDA
2009
Springer
15 years 8 months ago
Learning Natural Image Structure with a Horizontal Product Model
We present a novel extension to Independent Component Analysis (ICA), where the data is generated as the product of two submodels, each of which follow an ICA model, and which comb...
Urs Köster, Jussi T. Lindgren, Michael Gutman...