1126 search results - page 21 / 226 » Strong Feature Sets from Small Samples |
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
DAS
2006
Springer
13 years 9 months ago
2006
Springer
Abstract. This paper presents a study of 25 structural features extracted from samples of grapheme `th' that correspond to features commonly used by forensic document examiner...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
SIGMOD
2004
ACM
14 years 7 months ago
2004
ACM
Random sampling is one of the most fundamental data management tools available. However, most current research involving sampling considers the problem of how to use a sample, and...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
A simple stereo matching algorithm is proposed that visits only a small fraction of disparity space in order to find a semi-dense disparity map. It works by growing from a small s...