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ICML
2004
IEEE
16 years 6 months ago
K-means clustering via principal component analysis
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
Chris H. Q. Ding, Xiaofeng He
170
Voted
IPPS
2006
IEEE
15 years 11 months ago
Design flow for optimizing performance in processor systems with on-chip coarse-grain reconfigurable logic
A design flow for processor platforms with on-chip coarse-grain reconfigurable logic is presented. The reconfigurable logic is realized by a 2-Dimensional Array of Processing Elem...
Michalis D. Galanis, Grigoris Dimitroulakos, Const...
PG
2002
IEEE
15 years 10 months ago
Interactive Rendering of Translucent Objects
This paper presents a rendering method for translucent objects, in which view point and illumination can be modified at interactive rates. In a preprocessing step the impulse res...
Hendrik P. A. Lensch, Michael Goesele, Philippe Be...
ACL
1998
15 years 6 months ago
Growing Semantic Grammars
A critical path in the development of natural language understanding NLU modules lies in the di culty of de ning a mapping from words to semantics: Usually it takes in the order o...
Marsal Gavaldà, Alex Waibel
JMLR
2010
118views more  JMLR 2010»
15 years 9 days ago
Hilbert Space Embeddings and Metrics on Probability Measures
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing, and independence testing....
Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fu...