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» A Large Scale Clustering Scheme for Kernel K-Means
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GLOBECOM
2008
IEEE
14 years 1 months ago
Distributed Regression in Sensor Networks with a Reduced-Order Kernel Model
Abstract—Over the past few years, wireless sensor networks received tremendous attention for monitoring physical phenomena, such as the temperature field in a given region. Appl...
Paul Honeine, Mehdi Essoloh, Cédric Richard...
CVPR
1998
IEEE
14 years 9 months ago
Image Indexing and Retrieval Based on Human Perceptual Color Clustering
We propose a new image retrieval method based on human perceptual clustering of color images. This color clustering produces for each image a small set of representative colors wh...
Yihong Gong, Guido Proietti, Christos Faloutsos
BMCBI
2010
182views more  BMCBI 2010»
13 years 7 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
CCGRID
2011
IEEE
12 years 11 months ago
DHTbd: A Reliable Block-Based Storage System for High Performance Clusters
—Large, reliable and efficient storage systems are becoming increasingly important in enterprise environments. Our research in storage system design is oriented towards the expl...
George Parissis, George Xylomenos, Theodore K. Apo...
PRL
2010
158views more  PRL 2010»
13 years 5 months ago
Data clustering: 50 years beyond K-means
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
Anil K. Jain