258 search results - page 36 / 52 » Using Co-Occurrence and Segmentation to Learn Feature-Based ... |
AGI
2008
13 years 9 months ago
2008
Abstract. An artificial system that achieves human-level performance on opendomain tasks must have a huge amount of knowledge about the world. We argue that the most feasible way t...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We build word models for American Sign Language (ASL) that transfer between different signers and different aspects. This is advantageous because one could use large amounts of la...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Tracking over a long period of time is challenging as the appearance, shape and scale of the object in question may vary. We propose a paradigm of tracking by repeatedly segmentin...
CVIU
2008
13 years 7 months ago
2008
A key problem in video content analysis using dynamic graphical models is to learn a suitable model structure given some observed visual data. We propose a Completed Likelihood AI...
ECCV
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...