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NIPS
2007
15 years 7 months ago
Discriminative K-means for Clustering
We present a theoretical study on the discriminative clustering framework, recently proposed for simultaneous subspace selection via linear discriminant analysis (LDA) and cluster...
Jieping Ye, Zheng Zhao, Mingrui Wu
NIPS
2004
15 years 7 months ago
Limits of Spectral Clustering
An important aspect of clustering algorithms is whether the partitions constructed on finite samples converge to a useful clustering of the whole data space as the sample size inc...
Ulrike von Luxburg, Olivier Bousquet, Mikhail Belk...
ECCV
2006
Springer
15 years 10 months ago
Learning Semantic Scene Models by Trajectory Analysis
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
Xiaogang Wang, Kinh Tieu, Eric Grimson
CLUSTER
2007
IEEE
15 years 10 months ago
A feasibility analysis of power-awareness and energy minimization in modern interconnects for high-performance computing
High-performance computing (HPC) systems consume a significant amount of power, resulting in high operational costs, reduced reliability, and wasting of natural resources. Therefor...
Reza Zamani, Ahmad Afsahi, Ying Qian, V. Carl Hama...
CLUSTER
1999
IEEE
15 years 6 months ago
Simulative performance analysis of gossip failure detection for scalable distributed systems
Three protocols for gossip-based failure detection services in large-scale heterogeneous clusters are analyzed and compared. The basic gossip protocol provides a means by which fai...
Mark W. Burns, Alan D. George, Bradley A. Wallace