125 search results - page 11 / 25 » Combining labeled and unlabeled data with word-class distrib... |
IJCV
2011
14 years 4 months ago
2011
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
86
Voted
ICCV
2009
IEEE
16 years 1 months ago
2009
IEEE
Graph-based semi-supervised learning has gained considerable
interests in the past several years thanks to its effectiveness
in combining labeled and unlabeled data through
labe...
SDM
2003
SIAM
14 years 11 months ago
2003
SIAM
A labeled sequence data set related to a certain biological property is often biased and, therefore, does not completely capture its diversity in nature. To reduce this sampling b...
76
Voted
KDD
2009
ACM
15 years 10 months ago
2009
ACM
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
NIPS
2007
14 years 11 months ago
2007
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...