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WILF
2007
Springer
98views Fuzzy Logic» more  WILF 2007»
15 years 11 months ago
Possibilistic Clustering in Feature Space
In this paper we propose the Possibilistic C-Means in Feature Space and the One-Cluster Possibilistic C-Means in Feature Space algorithms which are kernel methods for clustering in...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
IJCNN
2008
IEEE
16 years 8 hour ago
Sparse support vector machines trained in the reduced empirical feature space
— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
Kazuki Iwamura, Shigeo Abe
ISM
2006
IEEE
130views Multimedia» more  ISM 2006»
15 years 11 months ago
Accelerating Color Space Conversion Using Extended Subwords and the Matrix Register File
Color space conversion is an important kernel in multimedia codecs such as JPEG and MPEG. When implemented using SIMD instructions, however, the performance improvement is often l...
Asadollah Shahbahrami, Ben H. H. Juurlink, Stamati...
138
Voted
ESA
2008
Springer
137views Algorithms» more  ESA 2008»
15 years 7 months ago
An Almost Space-Optimal Streaming Algorithm for Coresets in Fixed Dimensions
We present a new streaming algorithm for maintaining an -kernel of a point set in Rd using O((1/(d-1)/2 ) log(1/)) space. The space used by our algorithm is optimal up to a small ...
Hamid Zarrabi-Zadeh
ICML
2009
IEEE
16 years 6 months ago
Hilbert space embeddings of conditional distributions with applications to dynamical systems
In this paper, we extend the Hilbert space embedding approach to handle conditional distributions. We derive a kernel estimate for the conditional embedding, and show its connecti...
Le Song, Jonathan Huang, Alexander J. Smola, Kenji...