We revisit stereo matching functions, a topic that is considered
well understood, from a different angle. Our goal
is to discover a transformation that operates on the cost
or s...
Continuations, or ’the rest of the computation’, are a concept that is most often used in the context of functional and dynamic programming languages. Implementations of such ...
Recent research has made significant progress on the problem of bounding log partition functions for exponential family graphical models. Such bounds have associated dual paramete...
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
Vlad I. Morariu, Balaji Vasan Srinivasan, Vikas C....