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» Evaluation of Clusterings - Metrics and Visual Support
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SDM
2008
SIAM
161views Data Mining» more  SDM 2008»
15 years 7 months ago
Efficient Maximum Margin Clustering via Cutting Plane Algorithm
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
Bin Zhao, Fei Wang, Changshui Zhang
CVPR
2003
IEEE
16 years 8 months ago
Learning Affinity Functions for Image Segmentation: Combining Patch-based and Gradient-based Approaches
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...
Charless Fowlkes, David R. Martin, Jitendra Malik
ICDE
2006
IEEE
215views Database» more  ICDE 2006»
16 years 7 months ago
cgmOLAP: Efficient Parallel Generation and Querying of Terabyte Size ROLAP Data Cubes
In this demo we present the cgmOLAP server, the first fully functional parallel OLAP system able to build data cubes at a rate of more than 1 Terabyte per hour. cgmOLAP incorporat...
Ying Chen, Andrew Rau-Chaplin, Frank K. H. A. Dehn...
IPPS
1998
IEEE
15 years 10 months ago
A Clustered Approach to Multithreaded Processors
With aggressive superscalar processors delivering diminishing returns, alternate designs that make good use of the increasing chip densities are actively being explored. One such ...
Venkata Krishnan, Josep Torrellas
BMCBI
2007
207views more  BMCBI 2007»
15 years 6 months ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...