This paper presents a new document image binarization technique that segments the text from badly degraded historical document images. The proposed technique makes use of the imag...
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Traditionally listener response prediction models are learned from pre-recorded dyadic interactions. Because of individual differences in behavior, these recordings do not capture...
Iwan de Kok, Derya Ozkan, Dirk Heylen, Louis-Phili...
The way a rational agent changes her belief in certain proposition/hypotheses in the light of new evidence lies in the heart of Bayesian inference. The basic natural assumption, a...
Machine Learned Ranking approaches have shown successes in web search engines. With the increasing demands on developing effective ranking functions for different search domains, ...
Keke Chen, Rongqing Lu, C. K. Wong, Gordon Sun, La...