Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
Delay budget is an excess delay that each component of a design can tolerate under a given timing constraint. Delay budgeting has been widely exploited to improve the design quali...
In this paper, we present a segmentation method that provides perceptually relevant partitions without any a priori knowledge of the image content: first a local homogeneity analy...
Shape-from-Texture is the problem of estimating an object’s shape by examining the apparent distortions in the surface texture of the object due to image capture. A new method is...
Global likelihood maximization is an important aspect of many statistical analyses. Often the likelihood function is highly multi-extremal. This presents a significant challenge t...