Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
Shuang-Hong Yang, Hongyuan Zha, Shaohua Kevin Zhou...
In this paper, we suggest to model priors on human motion by means of nonparametric kernel densities. Kernel densities avoid assumptions on the shape of the underlying distribution...
Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-...
Services such as audio/video streaming, advertising, and software distribution can be delivered much more efficiently by Network Service Providers if multicast data distribution i...
Anil Kumar Venkataiahgari, J. William Atwood, Mour...
This paper proposes an application of the Collaborative e-Science Architecture (CeSA) to enable e-Research in combustion research community. A major problem of the community is th...
Tran Vu Pham, Peter M. Dew, Lydia M. S. Lau, Micha...
This paper investigates asymptotically optimal scalar quantizers to address QIM watermark detection with i.i.d. host data and additive noise. False-alarm probability of detection ...
Jean-Philippe Boyer, Pierre Duhamel, Jacques Blanc...