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ICML
2010
IEEE
13 years 8 months ago
Conditional Topic Random Fields
Generative topic models such as LDA are limited by their inability to utilize nontrivial input features to enhance their performance, and many topic models assume that topic assig...
Jun Zhu, Eric P. Xing
KDD
2007
ACM
206views Data Mining» more  KDD 2007»
14 years 8 months ago
Automatic labeling of multinomial topic models
Multinomial distributions over words are frequently used to model topics in text collections. A common, major challenge in applying all such topic models to any text mining proble...
Qiaozhu Mei, Xuehua Shen, ChengXiang Zhai
CIKM
2009
Springer
14 years 4 days ago
Probabilistic models for topic learning from images and captions in online biomedical literatures
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
Xin Chen, Caimei Lu, Yuan An, Palakorn Achananupar...
CSREAESA
2006
13 years 9 months ago
Chip OS: new architecture for next generation embedded system
Nowadays embedded system, hardware/software technology has progressed prosperously. In many field of industrial manufacture and people life, embedded system is indispensable. Rece...
Tianzhou Chen, Yi Lian, Wei Hu
COLING
2002
13 years 7 months ago
A Measure of Term Representativeness Based on the Number of Co-occurring Salient Words
We propose a novel measure of the representativeness (i.e., indicativeness or topic specificity) of a term in a given corpus. The measure embodies the idea that the distribution o...
Toru Hisamitsu, Yoshiki Niwa