When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
This paper addresses the problem of recognizing shadows from monochromatic natural images. Without chromatic information, shadow classification is very challenging because the in...
The applicability of aspects as a means of implementing runtime contract checking has been demonstrated in prior work, where contracts are identified as cross-cutting concerns [1...
A Bayesian formulation of quickest change detection in multiple onoff processes is obtained within a decision-theoretic framework. For geometrically distributed busy and idle time...
—Increasingly, tools and their underlying theories are able to cope with “real code” written as part of industrial grade applications almost as is. It has been our experience...