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198
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ICML
2004
IEEE
16 years 3 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
126
Voted
ISBI
2006
IEEE
16 years 3 months ago
3D tumor shape reconstruction from 2D bioluminescence images
This paper introduces a novel and efficient algorithm for reconstructing the 3D shapes of tumors from a set of 2D bioluminescence images which are taken by the same camera but aft...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas,...
68
Voted
CHI
2009
ACM
16 years 3 months ago
Topology-aware navigation in large networks
Applications supporting navigation in large networks are used every days by millions of people. They include road map navigators, ight route visualization systems, and network vis...
Tomer Moscovich, Fanny Chevalier, Nathalie Henry, ...
116
Voted
CHI
2006
ACM
16 years 3 months ago
Embedded phenomena: supporting science learning with classroom-sized distributed simulations
`Embedded phenomena' is a learning technology framework in which simulated scientific phenomena are mapped onto the physical space of classrooms. Students monitor and control...
Tom Moher
212
Voted
SIGMOD
2009
ACM
140views Database» more  SIGMOD 2009»
16 years 2 months ago
Distributed data-parallel computing using a high-level programming language
The Dryad and DryadLINQ systems offer a new programming model for large scale data-parallel computing. They generalize previous execution environments such as SQL and MapReduce in...
Michael Isard, Yuan Yu