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» Multilinear Independent Components Analysis
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ICCV
1999
IEEE
15 years 6 months ago
Principal Manifolds and Bayesian Subspaces for Visual Recognition
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
Baback Moghaddam
ICML
2008
IEEE
16 years 3 months ago
ICA and ISA using Schweizer-Wolff measure of dependence
We propose a new algorithm for independent component and independent subspace analysis problems. This algorithm uses a contrast based on the Schweizer-Wolff measure of pairwise de...
Barnabás Póczos, Sergey Kirshner
126
Voted
ICST
2009
IEEE
15 years 9 months ago
Predicting Attack-prone Components
GEGICK, MICHAEL CHARLES. Predicting Attack-prone Components with Source Code Static Analyzers. (Under the direction of Laurie Williams). No single vulnerability detection techniqu...
Michael Gegick, Pete Rotella, Laurie A. Williams
129
Voted
ENC
2007
IEEE
15 years 9 months ago
fMRI Brain Image Retrieval Based on ICA Components
This manuscript proposes a retrieval system for fMRI brain images. Our goal is to find a similaritymetric to enable us to support queries for “similar tasks” for retrieval on...
Bing Bai, Paul B. Kantor, Ali Shokoufandeh, Debora...
163
Voted
JMLR
2008
188views more  JMLR 2008»
15 years 2 months ago
Maximal Causes for Non-linear Component Extraction
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
Jörg Lücke, Maneesh Sahani