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113
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IJON
2008
186views more  IJON 2008»
15 years 22 days ago
Computational analysis and learning for a biologically motivated model of boundary detection
In this work we address the problem of boundary detection by combining ideas and approaches from biological and computational vision. Initially, we propose a simple and efficient ...
Iasonas Kokkinos, Rachid Deriche, Olivier D. Fauge...
NC
2006
132views Neural Networks» more  NC 2006»
15 years 20 days ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu
104
Voted
IPPS
2010
IEEE
14 years 10 months ago
A PRAM-NUMA model of computation for addressing low-TLP workloads
It is possible to implement the parallel random access machine (PRAM) on a chip multiprocessor (CMP) efficiently with an emulated shared memory (ESM) architecture to gain easy par...
Martti Forsell
118
Voted
NIPS
2003
15 years 2 months ago
Computing Gaussian Mixture Models with EM Using Equivalence Constraints
Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...
Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daph...
CONCUR
2008
Springer
15 years 2 months ago
Modeling Computational Security in Long-Lived Systems
Abstract. For many cryptographic protocols, security relies on the assumption that adversarial entities have limited computational power. This type of security degrades progressive...
Ran Canetti, Ling Cheung, Dilsun Kirli Kaynar, Nan...