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IJBC
2008
87views more  IJBC 2008»
15 years 7 months ago
Digital Secure-Communication Using Robust Hyper-Chaotic Systems
Abstract-- In this paper, we propose a robust hyperchaotic system that is practically serviceable in digital securecommunication. The system consists of many coupled robust logisti...
Shih-Liang Chen, Shu-Ming Chang, Wen-Wei Lin, Ting...
219
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IJCV
2008
188views more  IJCV 2008»
15 years 7 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
JIIS
2008
89views more  JIIS 2008»
15 years 7 months ago
A note on phase transitions and computational pitfalls of learning from sequences
An ever greater range of applications call for learning from sequences. Grammar induction is one prominent tool for sequence learning, it is therefore important to know its proper...
Antoine Cornuéjols, Michèle Sebag
MCSS
2008
Springer
15 years 7 months ago
Lax-Phillips scattering theory and well-posed linear systems: a coordinate-free approach
Abstract. We give a further elaboration of the fundamental connections between Lax-Phillips scattering, conservative input/state/output linear systems and Sz.-Nagy-Foias model theo...
Joseph A. Ball, Philip T. Carroll, Yoichi Uetake
PR
2006
147views more  PR 2006»
15 years 7 months ago
Robust locally linear embedding
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...
Hong Chang, Dit-Yan Yeung