129 search results - page 13 / 26 » Active learning with extremely sparse labeled examples |
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
This paper proposes a metric learning based approach for human activity recognition with two main objectives: (1) reject unfamiliar activities and (2) learn with few examples. We s...
MMS
2006
13 years 7 months ago
2006
Searching and organizing growing digital music collections requires a computational model of music similarity. This paper describes a system for performing flexible music similarit...
JMLR
2012
11 years 10 months ago
2012
Standard compressive sensing results state that to exactly recover an s sparse signal in Rp , one requires O(s · log p) measurements. While this bound is extremely useful in prac...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We compare the practical performance of several recently proposed algorithms for active learning in the online classification setting. We consider two active learning algorithms (...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
Active machine learning algorithms are used when large numbers of unlabeled examples are available and getting labels for them is costly (e.g. requiring consulting a human expert)...