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PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
14 years 3 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
WWW
2006
ACM
14 years 7 months ago
Compressing and searching XML data via two zips
XML is fast becoming the standard format to store, exchange and publish over the web, and is getting embedded in applications. Two challenges in handling XML are its size (the XML...
Paolo Ferragina, Fabrizio Luccio, Giovanni Manzini...
WMPI
2004
ACM
13 years 11 months ago
The Opie compiler from row-major source to Morton-ordered matrices
The Opie Project aims to develop a compiler to transform C codes written for row-major matrix representation into equivalent codes for Morton-order matrix representation, and to a...
Steven T. Gabriel, David S. Wise
KDD
2009
ACM
611views Data Mining» more  KDD 2009»
14 years 7 months ago
Fast approximate spectral clustering
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Donghui Yan, Ling Huang, Michael I. Jordan
ICIP
2008
IEEE
14 years 8 months ago
Image registration using Adaptive Polar Transform
Image registration is an essential step in many image processing applications that need visual information from multiple images for comparison, integration or analysis. Recently r...
Rittavee Matungka, Yuan F. Zheng, Robert L. Ewing