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» A Dimension Abstraction Approach to Vectorization in Matlab
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CEC
2005
IEEE
13 years 8 months ago
Nonlinear mapping using particle swarm optimisation
Abstract— Nonlinear mapping is an approach of multidimensional scaling where a high-dimensional space is transformed into a lower-dimensional space such that the topological char...
Auralia I. Edwards, Andries Petrus Engelbrecht, Ne...
ENTCS
2010
118views more  ENTCS 2010»
13 years 3 months ago
Fragments-based Model Reduction: Some Case Studies
Molecular biological models usually suffer from a dramatic combinatorial blow up. Indeed, proteins form complexes and can modify each others, which leads to the formation of a hug...
Jérôme Feret
EDBT
2006
ACM
145views Database» more  EDBT 2006»
14 years 6 months ago
Indexing Spatially Sensitive Distance Measures Using Multi-resolution Lower Bounds
Abstract. Comparison of images requires a distance metric that is sensitive to the spatial location of objects and features. Such sensitive distance measures can, however, be compu...
Vebjorn Ljosa, Arnab Bhattacharya, Ambuj K. Singh
ISAAC
2003
Springer
129views Algorithms» more  ISAAC 2003»
13 years 11 months ago
Polynomial Time Approximate Sampler for Discretized Dirichlet Distribution
Abstract. In this paper, we propose a Markov chain for sampling a random vector distributed according to a discretized Dirichlet distribution. We show that our Markov chain is rapi...
Tomomi Matsui, Mitsuo Motoki, Naoyuki Kamatani
ICS
2004
Tsinghua U.
13 years 11 months ago
Applications of storage mapping optimization to register promotion
Storage mapping optimization is a flexible approach to folding array dimensions in numerical codes. It is designed to reduce the memory footprint after a wide spectrum of loop tr...
Patrick Carribault, Albert Cohen