Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Although a new class of languages has emerged to enable end users to create their own web applications, little is known about how end-user programmers actually use such languages ...
Christopher Bogart, Margaret M. Burnett, Allen Cyp...
Modern advances in reconfigurable analog technologies are allowing field-programmable analog arrays (FPAAs) to dramatically grow in size, flexibility, and usefulness. With thes...
I. Faik Baskaya, Sasank Reddy, Sung Kyu Lim, Tyson...
Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...
While the discipline of computing has evolved significantly in the past 30 years, Computer Science curricula have not as readily adapted to these changes. In response, we have rec...