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ICCV
2003
IEEE
15 years 11 months ago
Multiclass Spectral Clustering
We propose a principled account on multiclass spectral clustering. Given a discrete clustering formulation, we first solve a relaxed continuous optimization problem by eigendecomp...
Stella X. Yu, Jianbo Shi
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
15 years 10 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
71
Voted
ICALP
2009
Springer
15 years 10 months ago
Correlation Clustering Revisited: The "True" Cost of Error Minimization Problems
Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
Nir Ailon, Edo Liberty
EUROSYS
2006
ACM
15 years 6 months ago
On the road to recovery: restoring data after disasters
—Restoring data operations after a disaster is a daunting task: how should recovery be performed to minimize data loss and application downtime? Administrators are under consider...
Kimberly Keeton, Dirk Beyer 0002, Ernesto Brau, Ar...
MOBIHOC
2004
ACM
15 years 3 months ago
An adaptive strategy for maximizing throughput in MAC layer wireless multicast
Bandwidth efficiency of wireless multicast can be improved substantially by exploiting the fact that several receivers can be reached at the MAC layer by a single transmission. T...
Prasanna Chaporkar, Anita Bhat, Saswati Sarkar