We propose a fully automatic method for summarizing and indexing unstructured presentation videos based on text extracted from the projected slides. We use changes of text in the ...
This paper addresses the problem of Named Entity Recognition in Query (NERQ), which involves detection of the named entity in a given query and classification of the named entity...
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
: A mass of heterogeneous, distributed and dynamic information on the World Wide Web (the Web) has resulted in "information overload". It's an important and urgent r...
Jicheng Wang, Xiangyu Jin, Yang Xiaojiang, Fuyan Z...
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...