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» Word Segmentation and Recognition for Web Document Framework
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ICIP
2009
IEEE
13 years 5 months ago
Semantic keyword extraction via adaptive text binarization of unstructured unsourced video
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 ...
Michele Merler, John R. Kender
SIGIR
2009
ACM
14 years 2 months ago
Named entity recognition in query
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...
Jiafeng Guo, Gu Xu, Xueqi Cheng, Hang Li
WWW
2008
ACM
14 years 8 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
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...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi
JCST
2000
124views more  JCST 2000»
13 years 7 months ago
Distributed and Cooperative Information Retrieval on the World Wide Web
: 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...
INTERSPEECH
2010
13 years 2 months ago
Boosted mixture learning of Gaussian mixture HMMs for speech recognition
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...
Jun Du, Yu Hu, Hui Jiang