Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
Continuous spatial queries posted within an environment of moving objects produce as their results a time-varying set of objects. In the most ambitious case both queries and data ...
Yu-Ling Hsueh, Roger Zimmermann, Haojun Wang, Wei-...
Computer systems often fail due to many factors such as software bugs or administrator errors. Diagnosing such production run failures is an important but challenging task since i...
Ding Yuan, Haohui Mai, Weiwei Xiong, Lin Tan, Yuan...
Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This ...
In this paper, we present a systematic framework for re-cognizing realistic actions from videos “in the wild.” Such unconstrained videos are abundant in personal collections as...
Jingen Liu (University of Central Florida), Jiebo ...