In this paper, we describe a system that can extract record structures from web pages with no direct human supervision. Records are commonly occurring HTML-embedded data tuples th...
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
In this paper, a fast and robust multi-view lip localization algorithm in video is proposed. We consider lip localization as a binary classification problem, where a classifier is...
Yi Wu, Rui Ma, Wei Hu, Tao Wang, Yimin Zhang, Jian...
Dimensionality reduction is the process by which a set of data points in a higher dimensional space are mapped to a lower dimension while maintaining certain properties of these p...
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...