Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...
Leonid Karlinsky, Michael Dinerstein, Dan Levi, Sh...
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
This paper describes the adaptation and evaluation of existing nestedsurface visualization techniques for the problem of displaying intersecting surfaces. For this work, we collab...
This paper presents a method to automatically locate facial feature points under large variations in pose, illumination and facial expressions. First we propose a method to calcul...
Longbin Chen, Lei Zhang, HongJiang Zhang, Mohamed ...