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CORR
2007
Springer
198views Education» more  CORR 2007»
13 years 10 months ago
Clustering and Feature Selection using Sparse Principal Component Analysis
In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combi...
Ronny Luss, Alexandre d'Aspremont
CLUSTER
2007
IEEE
14 years 4 months ago
Performance analysis of a user-level memory server
Abstract—Large-scale parallel applications often produce immense quantities of data that need to be analyzed. To avoid performing repeated, costly disk accesses, analysis of larg...
Scott Pakin, Greg Johnson
TJS
2002
118views more  TJS 2002»
13 years 9 months ago
On the Design, Development, Deployment, and Network Survivability Analysis of the Dynamic Routing System Protocol
: With the ever-increasing demands on server applications, reliability is of paramount importance. Often these services are implemented using a distributed server cluster architect...
Abdur Chowdhury, Ophir Frieder, Peng-Jun Wan
BIBE
2004
IEEE
107views Bioinformatics» more  BIBE 2004»
14 years 1 months ago
Enhanced pClustering and Its Applications to Gene Expression Data
Clustering has been one of the most popular methods to discover useful biological insights from DNA microarray. An interesting paradigm is simultaneous clustering of both genes an...
Sungroh Yoon, Christine Nardini, Luca Benini, Giov...
CVPR
2001
IEEE
15 years 6 days ago
Event-Based Analysis of Video
Dynamic events can be regarded as long-term temporal objects, which are characterized by spatio-temporal features at multiple temporal scales. Based on this, we design a simple st...
Lihi Zelnik-Manor, Michal Irani