Discriminative tracking has become popular tracking methods due to their descriptive power for foreground/background separation. Among these methods, online random forest is recen...
Xinchu Shi, Xiaoqin Zhang, Yang Liu, Weiming Hu, H...
In this paper we first introduce four kinds of modification of Symmetric Scoring [1] which produce likelihood ratios that do not need to be explicitly normalized, i.e. T-norm, Z...
People take more and more photos at different time and different events, however, these photos are often put into one giant folder and they are seldom annotated or organized. As t...
The recently developed i-vector framework for speaker recognition has set a new performance standard in the research field. An i-vector is a compact representation of a speaker u...
Acoustic imaging is a computationally intensive and ill-conditioned inverse problem, which involves estimating high resolution source distributions with large microphone arrays. I...