This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
Let C be a class of probability distributions over a finite set . A function D : {0, 1}m is a disperser for C with entropy threshold k and error if for any distribution X in C s...
Many vision applications require precise measurement of scene radiance. The function relating scene radiance to image brightness is called the camera response. We analyze the prop...
Abstract. We study a parametrized definition of gene clusters that permits control over the trade-off between increasing gene content versus conserving gene order within a cluster....
The paper studies machine learning problems where each example is described using a set of Boolean features and where hypotheses are represented by linear threshold elements. One ...