Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Providing a user with an effective image search engine has been a very active research area. A search by an object model is considered to be one of the most desirable and yet difï...
Abstract. Naive Bayes Nearest Neighbor (NBNN) is a feature-based image classiïŹer that achieves impressive degree of accuracy [1] by exploiting âImage-toClassâ distances and b...
Background: The rapidly increasing availability of whole-genome sequences has enabled the study of whole-genome evolution. Evolutionary mechanisms based on genome rearrangements h...
Yu Lin, Vaibhav Rajan, Krister M. Swenson, Bernard...
AbstractâModels that can efficiently, compactly, and semantically represent potential users are important tools for human-robot interaction applications. We model a person as a p...