—Formal models are often used to verify systems and prove their correctness, and ensure that transformed models remain consistent to the original system. However, formal techniqu...
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...
We present a 3-level hierarchical model for localizing human bodies in still images from arbitrary viewpoints. We first fit a simple tree-structured model defined on a small landm...
Jiayong Zhang, Jiebo Luo, Robert T. Collins, Yanxi...
Turi [20] introduced the important notion of a constrained atom: an atom with associated equality and disequality constraints on its arguments. A set of constrained atoms is a cons...
Abstract. Pseudo-code descriptions of STMs assume sequentially consistent program execution and atomicity of high-level STM operations like read, write, and commit. These assumptio...