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OSDI
1994
ACM
15 years 5 months ago
Distributed Filaments: Efficient Fine-Grain Parallelism on a Cluster of Workstations
A fine-grain parallel program is one in which processes are typically small, ranging from a few to a few hundred instructions. Fine-grain parallelism arises naturally in many situ...
Vincent W. Freeh, David K. Lowenthal, Gregory R. A...
NIPS
2004
15 years 5 months ago
Hierarchical Clustering of a Mixture Model
In this paper we propose an efficient algorithm for reducing a large mixture of Gaussians into a smaller mixture while still preserving the component structure of the original mod...
Jacob Goldberger, Sam T. Roweis
NIPS
2003
15 years 5 months ago
Geometric Clustering Using the Information Bottleneck Method
We argue that K–means and deterministic annealing algorithms for geometric clustering can be derived from the more general Information Bottleneck approach. If we cluster the ide...
Susanne Still, William Bialek, Léon Bottou
FUIN
2010
143views more  FUIN 2010»
15 years 1 months ago
Cluster Tree Elimination for Distributed Constraint Optimization with Quality Guarantees
Some distributed constraint optimization algorithms use a linear number of messages in the number of agents, but of exponential size. This is often the main limitation for their pr...
Ismel Brito, Pedro Meseguer
WCNC
2008
IEEE
15 years 10 months ago
Sidelobe Suppression for OFDM-Based Cognitive Radios Using Constellation Expansion
— In this paper, we present a novel algorithm for reducing sidelobe interference power levels in OFDM-based cognitive radios. Existing techniques for sidelobe suppression can be ...
Srikanth Pagadarai, Rakesh Rajbanshi, Alexander M....