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ICCV
2003
IEEE
14 years 11 months ago
Feature Selection for Unsupervised and Supervised Inference: the Emergence of Sparsity in a Weighted-based Approach
The problem of selecting a subset of relevant features in a potentially overwhelming quantity of data is classic and found in many branches of science. Examples in computer vision...
Lior Wolf, Amnon Shashua
TSP
2008
124views more  TSP 2008»
13 years 9 months ago
Robust Beamforming via Worst-Case SINR Maximization
Minimum variance beamforming, which uses a weight vector that maximizes the signal-to-interference-plus-noise ratio (SINR), is often sensitive to estimation error and uncertainty i...
Seung-Jean Kim, Alessandro Magnani, Almir Mutapcic...
ECCV
2004
Springer
14 years 2 months ago
A New Robust Technique for Stabilizing Brightness Fluctuations in Image Sequences
Abstract. Temporal random variation of luminance in images can manifest in film and video due to a wide variety of sources. Typical in archived films, it also affects scenes rec...
François Pitié, Rozenn Dahyot, Franc...
ICDM
2008
IEEE
99views Data Mining» more  ICDM 2008»
14 years 3 months ago
One-Class Collaborative Filtering
: © One-Class Collaborative Filtering Rong Pan, Yunhong Zhou, Bin Cao, Nathan N. Liu, Rajan Lukose, Martin Scholz, Qiang Yang HP Laboratories HPL-2008-133 collaborative filtering,...
Rong Pan, Yunhong Zhou, Bin Cao, Nathan Nan Liu, R...
BMCBI
2010
97views more  BMCBI 2010»
13 years 9 months ago
Biomarker discovery in heterogeneous tissue samples -taking the in-silico deconfounding approach
Background: For heterogeneous tissues, such as blood, measurements of gene expression are confounded by relative proportions of cell types involved. Conclusions have to rely on es...
Dirk Repsilber, Sabine Kern, Anna Telaar, Gerhard ...