Background: Accurate and sensitive performance evaluation is crucial for both effective development of better structure prediction methods based on sequence similarity, and for th...
Yuan Qi, Ruslan Sadreyev, Yong Wang, Bong-Hyun Kim...
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
One of the most challenging problems in high-level synthesis is how to quickly explore a wide range of design options to achieve high-quality designs. This paper presents an Integ...
Qingfeng Zhuge, Zili Shao, Bin Xiao, Edwin Hsing-M...
Describing shots through the occurrence of semantic concepts is the first step towards modeling the content of a video semantically. An important challenge is to automatically se...
ICSPEA is a novel multi-objective evolutionary algorithm which integrates aspects from the powerful variation operators of the Covariance Matrix Adaptation Evolution Strategy (CMA...