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» On the Convergence of Bound Optimization Algorithms
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CSB
2005
IEEE
115views Bioinformatics» more  CSB 2005»
15 years 10 months ago
A New Clustering Strategy with Stochastic Merging and Removing Based on Kernel Functions
With hierarchical clustering methods, divisions or fusions, once made, are irrevocable. As a result, when two elements in a bottom-up algorithm are assigned to one cluster, they c...
Huimin Geng, Hesham H. Ali
JSAC
2006
81views more  JSAC 2006»
15 years 4 months ago
Fast linearized energy allocation for multimedia loading on multicarrier systems
Abstract--Efficient near-optimal energy allocation for multimedia data transmission using multicarrier modulation is investigated. The optimal method typically relies on an iterati...
Michael A. Enright, C. C. Jay Kuo
NIPS
2007
15 years 6 months ago
Cluster Stability for Finite Samples
Over the past few years, the notion of stability in data clustering has received growing attention as a cluster validation criterion in a sample-based framework. However, recent w...
Ohad Shamir, Naftali Tishby
SPAA
2005
ACM
15 years 10 months ago
Randomization does not reduce the average delay in parallel packet switches
Switching cells in parallel is a common approach to build switches with very high external line rate and a large number of ports. A prime example is the parallel packet switch (in...
Hagit Attiya, David Hay
JMLR
2010
121views more  JMLR 2010»
14 years 11 months ago
Sparse Semi-supervised Learning Using Conjugate Functions
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
Shiliang Sun, John Shawe-Taylor