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» On the Complexity of Ordinal Clustering
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CVPR
2005
IEEE
14 years 11 months ago
A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
Shaorong Chang, Nilanjan Dasgupta, Lawrence Carin
ISMIR
2004
Springer
112views Music» more  ISMIR 2004»
14 years 2 months ago
Perceptual Segment Clustering For Music Description And Time-axis Redundancy Cancellation
Repeating sounds and patterns are widely exploited throughout music. However, although analysis and music information retrieval applications are often concerned with processing sp...
Tristan Jehan
BMCBI
2010
156views more  BMCBI 2010»
13 years 9 months ago
Protein complex prediction via verifying and reconstructing the topology of domain-domain interactions
Background: High-throughput methods for detecting protein-protein interactions enable us to obtain large interaction networks, and also allow us to computationally identify the as...
Yosuke Ozawa, Rintaro Saito, Shigeo Fujimori, Hisa...
KDD
2008
ACM
156views Data Mining» more  KDD 2008»
14 years 9 months ago
Can complex network metrics predict the behavior of NBA teams?
The United States National Basketball Association (NBA) is one of the most popular sports league in the world and is well known for moving a millionary betting market that uses th...
Antonio Alfredo Ferreira Loureiro, Pedro O. S. Vaz...
ICCS
2004
Springer
14 years 2 months ago
Complex Network of Earthquakes
Complex Network of Earthquakes Sumiyoshi Abe Institute of Physics, University of Tsukuba Ibaraki 3058571, Japan First, a brief discussion is made about a relevance of nonextensive...
Sumiyoshi Abe, Norikazu Suzuki