Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
Adaptive web sites have been proposed to enhance ease of navigation and information retrieval. A variety of approaches are described in the literature, but consideration of interf...
Doug Warner, Stephen D. Durbin, J. Neal Richter, Z...
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
This paper describes a distributed learning system which consists of two connected computers so that students can learn in collaboration and/or competition at different locations. ...