This paper proposes functional networks as an unconstrained classifier scheme for multivariate data to diagnose the breast cancer tumor. The performance of this new technique is m...
Emad A. El-Sebakhy, Kanaan A. Faisal, Tarek Helmy,...
Weconsider the problemof automaticdiscoveryof patterns and the corresponding subfamilies in a set of biosequences. Thesequences are unaligned and may contain noise of unknownlevel...
Alvis Brazma, Inge Jonassen, Esko Ukkonen, Jaak Vi...
: The biological world is highly stochastic and inhomogeneous in its behaviour. There are regions in DNA with high concentration of G or C bases; stretches of sequences with an abu...
Wojciech Szpankowski, Wenhui Ren, Lukasz Szpankows...
Abstract--We consider the problem of coding images for transmission over error-prone channels. The impairments we target are transient channel shutdowns, as would occur in a packet...
Sergio D. Servetto, Kannan Ramchandran, Vinay A. V...
We present a novel algorithm for unsupervised segmentation of natural images that harnesses the principle of minimum description length (MDL). Our method is based on observations ...
Shankar Rao, Hossein Mobahi, Allen Y. Yang, Shanka...