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JIPS
2007
103views more  JIPS 2007»
13 years 8 months ago
Feature Extraction of Concepts by Independent Component Analysis
: Semantic clustering is important to various fields in the modern information society. In this work we applied the Independent Component Analysis method to the extraction of the f...
Altangerel Chagnaa, Cheolyoung Ock, Chang Beom Lee...
COLING
2010
13 years 3 months ago
Bipolar Person Name Identification of Topic Documents Using Principal Component Analysis
In this paper, we propose an unsupervised approach for identifying bipolar person names in a set of topic documents. We employ principal component analysis (PCA) to discover bipol...
Chien Chin Chen, Chen-Yuan Wu
JMLR
2010
144views more  JMLR 2010»
13 years 3 months ago
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
Alexander Ilin, Tapani Raiko
ICNS
2007
IEEE
14 years 3 months ago
Delay Components of Job Processing in a Grid: Statistical Analysis and Modeling
The existence of good probabilistic models for the job arrival process and the delay components introduced at the different stages of job processing in a Grid environment is impor...
Kostas Christodoulopoulos, Vasileios Gkamas, Emman...
ICTAI
2007
IEEE
14 years 3 months ago
Facial Image Retrieval through Compound Queries Using Constrained Independent Component Analysis
In this work we present a new technique of facial-image retrieval using constrained independent component analysis (cICA). We have employed cICA for the online extraction of those...
Bilal Ahmed, Tahir Rasheed, Young-Koo Lee, Sungyou...