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CIRA
2007
IEEE
15 years 3 months ago
2007
IEEE
Abstract—In classical image classification approaches, lowlevel features have been used. But the high dimensionality of feature spaces poses a challenge in terms of feature selec...
AUSDM
2007
Springer
15 years 3 months ago
2007
Springer
Most current ontology management systems concentrate on detecting usage-driven changes and representing changes formally in order to maintain the consistency. In this paper, we pr...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
SDM
2010
SIAM
14 years 11 months ago
2010
SIAM
The dimensionality reduction problem has been widely studied in the database literature because of its application for concise data representation in a variety of database applica...
CICLING
2005
Springer
15 years 3 months ago
2005
Springer
This paper describes a supervised three-tier clustering method for classifying students’ essays of qualitative physics in the Why2-Atlas tutoring system. Our main purpose of cate...