We present a method for designing operational amplifiers using reversed geometric programming, which is an extension of geometric programming that allows both convex and non-conve...
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...
A steepest descent based bit allocation method with polynomial iteration complexity for minimizing the sum of frame distortions under a total bit rate constraint is presented for ...
In this paper, we address the problem of image sequence segmentation with dynamical shape priors. While existing formulations are typically based on hard decisions, we propose a fo...
— We propose an expectation-maximization (EM) technique for locating multiple transmitters based on power levels observed by a set of arbitrarily-placed receivers. Multiple trans...