165 search results - page 3 / 33 » Algorithms for Sparse Linear Classifiers in the Massive Data... |
KDD
2001
ACM
14 years 5 months ago
2001
ACM
Recently we presented a new approach [18] to the classification problem arising in data mining. It is based on the regularization network approach but, in contrast to other method...
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
CIVR
2003
Springer
13 years 10 months ago
2003
Springer
Feature selection for video retrieval applications is impractical with existing techniques, because of their high time complexity and their failure on the relatively sparse trainin...
WWW
2008
ACM
14 years 5 months ago
2008
ACM
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...