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» A Least-Squares Framework for Component Analysis
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BMCBI
2010
144views more  BMCBI 2010»
13 years 7 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
TSP
2011
152views more  TSP 2011»
13 years 2 months ago
Blind Adaptive Constrained Constant-Modulus Reduced-Rank Interference Suppression Algorithms Based on Interpolation and Switched
—This work proposes a blind adaptive reduced-rank scheme and constrained constant-modulus (CCM) adaptive algorithms for interference suppression in wireless communications system...
Rodrigo C. de Lamare, Raimundo Sampaio Neto, Marti...
ACIVS
2007
Springer
14 years 1 months ago
Spatiotemporal Fusion Framework for Multi-camera Face Orientation Analysis
In this paper, we propose a collaborative technique for face orientation estimation in smart camera networks. The proposed spatiotemporal feature fusion analysis is based on active...
Chung-Ching Chang, Hamid K. Aghajan
ICASSP
2009
IEEE
13 years 11 months ago
Chirp rate estimation of speech based on a time-varying quasi-harmonic model
The speech signal is usually considered as stationary during short analysis time intervals. Though this assumption may be sufficient in some applications, it is not valid for high...
Yannis Pantazis, Olivier Rosec, Yannis Stylianou
ICCV
2009
IEEE
1957views Computer Vision» more  ICCV 2009»
15 years 14 days ago
Robust Visual Tracking using L1 Minimization
In this paper we propose a robust visual tracking method by casting tracking as a sparse approximation problem in a particle filter framework. In this framework, occlusion, corru...
Xue Mei, Haibin Ling