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SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
16 years 2 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
114
Voted
GECCO
2009
Springer
104views Optimization» more  GECCO 2009»
15 years 9 months ago
Sustaining diversity using behavioral information distance
Conventional similarity metrics used to sustain diversity in evolving populations are not well suited to sequential decision tasks. Genotypes and phenotypic structure are poor pre...
Faustino J. Gomez
111
Voted
AAAI
2007
15 years 4 months ago
Anytime Coordination Using Separable Bilinear Programs
Developing scalable coordination algorithms for multi-agent systems is a hard computational challenge. One useful approach, demonstrated by the Coverage Set Algorithm (CSA), explo...
Marek Petrik, Shlomo Zilberstein
126
Voted
CVPR
2008
IEEE
16 years 4 months ago
Semantic-based indexing of fetal anatomies from 3-D ultrasound data using global/semi-local context and sequential sampling
The use of 3-D ultrasound data has several advantages over 2-D ultrasound for fetal biometric measurements, such as considerable decrease in the examination time, possibility of p...
Gustavo Carneiro, Fernando Amat, Bogdan Georgescu,...
ICANN
2001
Springer
15 years 7 months ago
Feature Extraction Using ICA
In manipulating data such as in supervised learning, we often extract new features from original features for the purpose of reducing the dimensions of feature space and achieving ...
Nojun Kwak, Chong-Ho Choi, Jin-Young Choi