Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
We present a class of algorithms for independent component analysis (ICA) which use contrast functions based on canonical correlations in a reproducing kernel Hilbert space. On th...
MMWN is a modular system of link- and network-layer algorithms that enables a multihop mobile wireless network to support distributed, real-time multimedia applications. In this pa...
In this paper we present a novel approach to mobile robot navigation based on environment representation by statistical models. Natural unstructured scenes are interpreted as real...
Abstract. In this paper, we present a receiver-oriented, request/response protocol for the Web that is compatible with the dynamics of TCP's congestion control algorithm. The ...
Rajarshi Gupta, Mike Y. Chen, Steven McCanne, Jean...