Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...
Attacking bottlenecks in modern processors is difficult because many microarchitectural events overlap with each other. This parallelism makes it difficult to both (a) assign a ...
We present a region-based active contour approach to segmenting masses in digital mammograms. The algorithm developed in a Maximum Likelihood approach is based on the calculation o...
The automatic reconstruction of 3D models from image sequences is still a very active field of research. All existing methods are designed for a given camera model, and a new (and...
As we devise more complicated prior distributions, will inference algorithms keep up? We highlight a negative result in computable probability theory by Ackerman, Freer, and Roy (...