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» Self-Tuning Spectral Clustering
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NIPS
2004
9 years 5 months ago
Self-Tuning Spectral Clustering
We study a number of open issues in spectral clustering: (i) Selecting the appropriate scale of analysis, (ii) Handling multi-scale data, (iii) Clustering with irregular backgroun...
Lihi Zelnik-Manor, Pietro Perona
CCGRID
2009
IEEE
9 years 10 months ago
Self-Tuning Virtual Machines for Predictable eScience
— Unpredictable access to batch-mode HPC resources is a significant problem for emerging dynamic data-driven applications. Although efforts such as reservation or queue-time pred...
Sang-Min Park, Marty Humphrey
JSSPP
2004
Springer
9 years 9 months ago
Enhancements to the Decision Process of the Self-Tuning dynP Scheduler
The self-tuning dynP scheduler for modern cluster resource management systems switches between different basic scheduling policies dynamically during run time. This allows to reac...
Achim Streit
AAAI
2015
4 years 4 days ago
A Convex Formulation for Spectral Shrunk Clustering
Spectral clustering is a fundamental technique in the field of data mining and information processing. Most existing spectral clustering algorithms integrate dimensionality reduc...
Xiaojun Chang, Feiping Nie, Zhigang Ma, Yi Yang, X...
TWC
2016
46views more  TWC 2016»
3 years 11 months ago
Backhaul-Constrained Multicell Cooperation Leveraging Sparsity and Spectral Clustering
Abstract—Multicell cooperative processing with limited backhaul traffic is studied for cellular uplinks. Aiming at reduced backhaul overhead, a sparse multicell linear receive-...
Swayambhoo Jain, Seung-Jun Kim, Georgios B. Gianna...
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