People identification is an essential task for video content analysis in a surveillance system. A good classifier, however, requires a large amount of training data, which may not...
We apply a well-known Bayesian probabilistic model to textual information retrieval: the classification of documents based on their relevance to a query. This model was previously...
The development of user interfaces based on vision and speech requires the solution of a challenging statistical inference problem: The intentions and actions of multiple individu...
This paper addresses the issue of Web document summarization. As textual content of Web documents is often scarce or irrelevant and existing summarization techniques are based on ...
In this paper, we introduce a new system for 3-D face recognition based on the fusion of results from a committee of regions that have been independently matched. Experimental resu...
Timothy C. Faltemier, Kevin W. Bowyer, Patrick J. ...