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» Chinese Keyword Spotting Using Knowledge-Based Clustering
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JCST
2008
138views more  JCST 2008»
13 years 4 months ago
Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression
In Chinese, phrases and named entities play a central role in information retrieval. Abbreviations, however, make keyword-based approaches less effective. This paper presents an em...
Xu Sun, Houfeng Wang, Bo Wang 0003
MM
2009
ACM
197views Multimedia» more  MM 2009»
13 years 11 months ago
Visual summaries of popular landmarks from community photo collections
We present a novel data-driven algorithm that leverages online image repositories such as Flickr for automatically generating tourist maps. Our hypothesis is that, given a large e...
Wei-Chao Chen, Agathe Battestini, Natasha Gelfand,...
IRFC
2011
Springer
12 years 8 months ago
Multilingual Document Clustering Using Wikipedia as External Knowledge
This paper presents Multilingual Document Clustering (MDC) on comparable corpora. Wikipedia, a structured multilingual knowledge base, has been highly exploited in many monolingual...
N. Kiran Kumar, G. S. K. Santosh, Vasudeva Varma
KDD
2010
ACM
253views Data Mining» more  KDD 2010»
13 years 8 months ago
Mining periodic behaviors for moving objects
Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. However, periodic behaviors could b...
Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, P...
KDD
2003
ACM
149views Data Mining» more  KDD 2003»
14 years 5 months ago
Knowledge-based data mining
We describe techniques for combining two types of knowledge systems: expert and machine learning. Both the expert system and the learning system represent information by logical d...
Søren Damgaard, Sholom M. Weiss, Shubir Kap...