One of the primary methods employed by researchers to judge the merits of new heuristics and algorithms is to run them on accepted benchmark test cases and comparing their perform...
We present a new algorithm for minimizing a convex loss-function subject to regularization. Our framework applies to numerous problems in machine learning and statistics; notably,...
Abstract. Content retrieval of scanned line drawing images is a difficult problem, especially from real-life large scale databases. Existing algorithms don’t work well due to th...
Biometric fusion consolidates the output of multiple biometric classifiers to render a decision about the identity of an individual. We consider the problem of designing a fusion s...
We consider problems on data sets where each data point has uncertainty described by an individual probability distribution. We develop several frameworks and algorithms for calcul...