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» Sampling Methods for Unsupervised Learning
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113
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COLING
2000
15 years 4 months ago
Automatic Refinement of a POS Tagger Using a Reliable Parser and Plain Text Corpora
This paper proposes a new unsupervised learning method for obtaining English part-ofspecch(POS) disambiguation rules which would improve thc accuracy of a POS tagger. This method ...
Hideki Hirakawa, Kenji Ono, Yumiko Yoshimura
124
Voted
JIKM
2006
136views more  JIKM 2006»
15 years 2 months ago
Decision Support Systems Using Ensemble Genetic Programming
Abstract. This paper proposes a decision support system for tactical air combat environment using a combination of unsupervised learning for clustering the data and an ensemble of ...
Ajith Abraham, Crina Grosan
140
Voted
JACM
2010
208views more  JACM 2010»
15 years 1 months ago
The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
clustering of documents according to sharing of topics at multiple levels of abstraction. Given a corpus of documents, a posterior inference algorithm finds an approximation to a ...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...
597
Voted

Publication
335views
13 years 5 months ago
Person Re-Identification: What Features are Important?
State-of-the-art person re-identi cation methods seek robust person matching through combining various feature types. Often, these features are implicitly assigned with a single ve...
Chunxiao Liu, Shaogang Gong, Chen Change Loy, Xing...
123
Voted
FGR
2008
IEEE
153views Biometrics» more  FGR 2008»
15 years 9 months ago
Facial image analysis using local feature adaptation prior to learning
Many facial image analysis methods rely on learningbased techniques such as Adaboost or SVMs to project classifiers based on the selection of local image filters (e.g., Haar and...
Rogerio Feris, Ying-li Tian, Yun Zhai, Arun Hampap...