Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...
This paper examines how computation can be mapped across the nodes of a distributed search system to effectively utilize available resources. We specifically address computationa...
Larry Huston, Alex Nizhner, Padmanabhan Pillai, Ra...
This paper presents a model for describing the synchronization between several media delivered over a network in a Web-based environment. Synchronization concerns the download and...
In this paper, we concentrate on the expressive power of hierarchical structures in neural networks. Recently, the so-called SplitNet model was introduced. It develops a dynamic n...
Although documents have hundreds of thousands of unique words, only a small number of words are significantly useful for intelligent services. For this reason, feature extraction ...