1126 search results - page 3 / 226 » Strong Feature Sets from Small Samples |
IDA
2011
Springer
12 years 11 months ago
2011
Springer
The amount of data produced by ubiquitous computing applications is quickly growing, due to the pervasive presence of small devices endowed with sensing, computing and communicatio...
ICMLA
2008
13 years 6 months ago
2008
We revisit 26 meta-features typically used in the context of meta-learning for model selection. Using visual analysis and computational complexity considerations, we find 4 meta-f...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
Abstract. Bag-of-features representations have recently become popular for content based image classification owing to their simplicity and good performance. They evolved from text...
CVPR
2004
IEEE
14 years 6 months ago
2004
IEEE
Invariant features or operators are often used to shield the recognition process from the effect of "nuisance" parameters, such as rotations, foreshortening, or illumina...
BMCBI
2008
13 years 4 months ago
2008
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...