We present a novel approach to the causal temporal analysis of event data from video content. Our key observation is that the sequence of visual words produced by a space-time dic...
Karthir Prabhakar, James Rehg, Ping Wang, Sangmin ...
In this paper, we propose a novel multi-dimensional distributed hidden Markov model (DHMM) framework. We first extend the theory of 2D hidden Markov models (HMMs) to arbitrary ca...
Digital filters with linear phase responses, that is, constant group delay responses are needed in many applications for signal and image processing. In this paper, a novel method...
Systems that can immediately react to their inputs may suffer from cyclic dependencies between their actions and the corresponding trigger conditions. For this reason, causality an...
Synchronous systems can immediately react to the inputs of their environment which may lead to so-called causality cycles between actions and their trigger conditions. Systems wit...