Abstract. Computer vision algorithms for individual tasks such as object recognition, detection and segmentation have shown impressive results in the recent past. The next challeng...
Context-based adaptive entropy coding is an essential feature of modern image compression algorithms; however, the design of these coders is non-trivial due to the balance that mu...
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
In protocol composition techniques, component protocols are combined in various ways to obtain a complex protocol whose execution sequences consist of interleaved execution sequen...
We present a framework for dening trading scenarios based on sh market auctions. In these scenarios, agents of arbitrary complexity can participate in electronic auctions under ...