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GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
15 years 8 months ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
132
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ICPP
1993
IEEE
15 years 6 months ago
Activity Counter: New Optimization for the Dynamic Scheduling of SIMD Control Flow
SIMD or vector computers and collection-oriented languages, like C , are designed to perform the same computation on each data item or on just a subset of the data. Subsets of pro...
Ronan Keryell, Nicolas Paris
CVPR
2000
IEEE
16 years 4 months ago
Representation and Optimal Recognition of Human Activities
Towards the goal of realizing a generic automatichuman activity recognition system, a new formalism is proposed. Activities are described by a chained hierarchical representation ...
François Brémond, Ramakant Nevatia, ...
ML
2007
ACM
131views Machine Learning» more  ML 2007»
15 years 2 months ago
A primal-dual perspective of online learning algorithms
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer
ESA
2008
Springer
95views Algorithms» more  ESA 2008»
15 years 4 months ago
Speed Scaling Functions for Flow Time Scheduling Based on Active Job Count
Abstract. We study online scheduling to minimize flow time plus energy usage in the dynamic speed scaling model. We devise new speed scaling functions that depend on the number of ...
Tak Wah Lam, Lap-Kei Lee, Isaac Kar-Keung To, Prud...