Abstract This work investigates the modeling of aggregate available bandwidth in multisender network applications. Unlike the well-established client–server model, where there is...
There have been important recent advances in object recognition through the matching of invariant local image features. However, the existing approaches are based on matching to i...
We describe a probabilistic framework for recognizing human activities in monocular video based on simple silhouette observations in this paper. The methodology combines kernel pr...
Classification of real-world data poses a number of challenging problems. Mismatch between classifier models and true data distributions on one hand and the use of approximate inf...
In today’s fast-paced world, while the number of channels of television programming available is increasing rapidly, the time available to watch them remains the same or is decr...