44 search results - page 5 / 9 » Learning What and How of Contextual Models for Scene Labelin... |
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Semi-supervised learning has emerged as a popular framework for improving modeling accuracy while controlling labeling cost. Based on an extension of stochastic composite likeliho...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
This paper addresses scene understanding in the context of a moving camera, integrating semantic reasoning ideas from monocular vision with 3D information available through struct...
ICCV
1995
IEEE
13 years 11 months ago
1995
IEEE
A new approach to tracking weakly modeled objects in a semantically rich domain is presented. We define a closed-world as a space-time region of an image sequence in which the co...
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...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
In this paper, we investigate what can be inferred from several silhouette probability maps, in multi-camera environments. To this aim, we propose a new framework for multi-view s...