1455 search results - page 181 / 291 » Exploiting Myopic Learning |
122
Voted
ICPR
2006
IEEE
16 years 5 months ago
2006
IEEE
A novel filter feature selection technique is introduced. The method exploits the information conveyed by the evolution of the training samples weights similarly to the Adaboost a...
105
Voted
ICPR
2002
IEEE
16 years 5 months ago
2002
IEEE
Psychophysical studies have shown that humans actively exploit temporal information such as contiguity of images in object recognition. We have recently developed a recognition sy...
224
Voted
VLDB
2008
ACM
16 years 4 months ago
2008
ACM
In this paper we present extended definitions of k-anonymity and use them to prove that a given data mining model does not violate the k-anonymity of the individuals represented in...
129
Voted
MCS
2009
Springer
15 years 10 months ago
2009
Springer
An ensemble is generated by training multiple component learners for a same task and then combining them for predictions. It is known that when lots of trained learners are availab...
129
Voted
ICASSP
2009
IEEE
15 years 10 months ago
2009
IEEE
This paper addresses source separation from a linear mixture under two assumptions: source sparsity and orthogonality of the mixing matrix. We propose efficient sparse separation...