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» On the Performance of Clustering in Hilbert Spaces
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NIPS
2008
13 years 7 months ago
Regularized Co-Clustering with Dual Supervision
By attempting to simultaneously partition both the rows (examples) and columns (features) of a data matrix, Co-clustering algorithms often demonstrate surprisingly impressive perf...
Vikas Sindhwani, Jianying Hu, Aleksandra Mojsilovi...
VLDB
2008
ACM
178views Database» more  VLDB 2008»
14 years 6 months ago
The Bdual-Tree: indexing moving objects by space filling curves in the dual space
Abstract Existing spatiotemporal indexes suffer from either large update cost or poor query performance, except for the Bx -tree (the state-of-the-art), which consists of multiple ...
Man Lung Yiu, Yufei Tao, Nikos Mamoulis
ADBIS
2000
Springer
91views Database» more  ADBIS 2000»
13 years 9 months ago
Efficient Region Query Processing by Optimal Page Ordering
A number of algorithms of clustering spatial data for reducing the number of disk seeks required to process spatial queries have been developed. One of the algorithms is the scheme...
Daesoo Cho, Bonghee Hong
ALT
2005
Springer
14 years 2 months ago
Measuring Statistical Dependence with Hilbert-Schmidt Norms
Abstract. We propose an independence criterion based on the eigenspectrum of covariance operators in reproducing kernel Hilbert spaces (RKHSs), consisting of an empirical estimate ...
Arthur Gretton, Olivier Bousquet, Alex J. Smola, B...
NIPS
2003
13 years 7 months ago
Learning to Find Pre-Images
We consider the problem of reconstructing patterns from a feature map. Learning algorithms using kernels to operate in a reproducing kernel Hilbert space (RKHS) express their solu...
Gökhan H. Bakir, Jason Weston, Bernhard Sch&o...