We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
The single minimum support (minsup) based frequent pattern mining approaches like Apriori and FP-growth suffer from“rare item problem”while extracting frequent patterns. That...
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Knitted fabric is widely used in clothing because of its unique and stretchy behavior, which is fundamentally different from the behavior of woven cloth. The properties of knits c...
Jonathan M. Kaldor, Doug L. James, Steve Marschner
In this paper, we propose a simple but effective
image prior - dark channel prior to remove haze from a single
input image. The dark channel prior is a kind of statistics
of the...
Kaiming He (The Chinese University of Hong Kong), ...