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KDD
2008
ACM
172views Data Mining» more  KDD 2008»
16 years 7 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
KDD
2002
ACM
140views Data Mining» more  KDD 2002»
16 years 7 months ago
Mining frequent item sets by opportunistic projection
In this paper, we present a novel algorithm OpportuneProject for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm ...
Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han
EUROGRAPHICS
2010
Eurographics
16 years 3 months ago
Electors Voting for Fast Automatic Shape Correspondence
This paper challenges the difficult problem of automatic semantic correspondence between two given shapes which are semantically similar but possibly geometrically very different...
Oscar Kin-Chung Au, Chiew-Lan Tai, Daniel Cohen-Or...
ICB
2009
Springer
142views Biometrics» more  ICB 2009»
16 years 1 months ago
Latent Fingerprint Matching: Fusion of Rolled and Plain Fingerprints
Law enforcement agencies routinely collect both rolled and plain fingerprints of all the ten fingers of suspects. These two types of fingerprints complement each other, since ro...
Jianjiang Feng, Soweon Yoon, Anil K. Jain
ICS
2007
Tsinghua U.
16 years 23 days ago
Scheduling FFT computation on SMP and multicore systems
Increased complexity of memory systems to ameliorate the gap between the speed of processors and memory has made it increasingly harder for compilers to optimize an arbitrary code...
Ayaz Ali, S. Lennart Johnsson, Jaspal Subhlok
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