This paper presents a graphical model for learning and recognizing human actions. Specifically, we propose to encode actions in a weighted directed graph, referred to as action gra...
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Local search (LS) algorithms are among the most powerful techniques for solving computationally hard problems in combinatorial optimization. These algorithms could be viewed as &q...
We propose a linear predictive quantization system for causally transmitting parallel sources with temporal memory (colored frames) over an erasure channel. By optimizing within t...
Ying-zong Huang, Yuval Kochman, Gregory W. Wornell
We present a linear time and space suffix array (SA) construction algorithm called the SA-IS algorithm. The SA-IS algorithm is novel because of the LMS-substrings used for the pro...