65 search results - page 6 / 13 » A bound on the label complexity of agnostic active learning |
NLE
2008
13 years 7 months ago
2008
For complex tasks such as parse selection, the creation of labelled training sets can be extremely costly. Resource-efficient schemes for creating informative labelled material mu...
IJCV
2011
13 years 2 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...
MM
2004
ACM
14 years 1 months ago
2004
ACM
It has been established that active learning is effective for learning complex, subjective query concepts for image retrieval. However, active learning has been applied in a conc...
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
We propose an information-theoretic method for multi-phase image segmentation, in an active contour-based framework. Our approach is based on nonparametric density estimates, and ...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Statistical learning theory chiefly studies restricted hypothesis classes, particularly those with finite Vapnik-Chervonenkis (VC) dimension. The fundamental quantity of interest i...