Constraint networks have been shown to be useful in formulating such diverse problems as scene labeling, natural language parsing, and temporal reasoning. Given a constraint netwo...
We study some stability properties of algorithms which minimize (or almost-minimize) empirical error over Donsker classes of functions. We show that, as the number n of samples gr...
The increasingly complicated DSP processors and applications with strict timing and code size constraints require design automation tools to consider multiple optimizations such a...
Qingfeng Zhuge, Chun Xue, Zili Shao, Meilin Liu, M...
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in machine learning, control theory, and discrete geometry. This c...
Minimally Invasive Surgery (MIS) has recognized benefits of reduced patient trauma and recovery time. In practice, MIS procedures present a number of challenges due to the loss of ...
Peter Mountney, Danail Stoyanov, Andrew Davison, G...