5802 search results - page 176 / 1161 » Parallelizing Feature Selection |
125
Voted
EUROPAR
2005
Springer
15 years 8 months ago
2005
Springer
Sophisticated parallel matrix multiplication algorithms like PDGEMM exhibit a complex structure and can be controlled by a large set of parameters including blocking factors and bl...
125
Voted
ECIR
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...
113
Voted
CVPR
2005
IEEE
15 years 8 months ago
2005
IEEE
We introduce a new method that characterizes typical local image features (e.g., SIFT [9], phase feature [3]) in terms of their distinctiveness, detectability, and robustness to i...
101
Voted
BIBE
2007
IEEE
15 years 4 months ago
2007
IEEE
Abstract—Gene expression data usually contains a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes ...
129
Voted
JVCIR
2006
15 years 2 months ago
2006
Intra-frame mode selection and inter-frame mode selection are new features introduced in the H.264 standard. Intra-frame mode selection dramatically reduces spatial redundancy in ...