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BC
2002
193views more  BC 2002»
14 years 9 months ago
Resonant spatiotemporal learning in large random recurrent networks
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
Emmanuel Daucé, Mathias Quoy, Bernard Doyon
DKE
2007
130views more  DKE 2007»
14 years 9 months ago
Enabling access-privacy for random walk based data analysis applications
Random walk graph and Markov chain based models are used heavily in many data and system analysis domains, including web, bioinformatics, and queuing. These models enable the desc...
Ping Lin, K. Selçuk Candan
VTC
2006
IEEE
117views Communications» more  VTC 2006»
15 years 3 months ago
Simulation of Throughput in UMTS Networks with Different Spreading Factors
— We design and implement a local session1 admission control (SAC) algorithm for third-generation wireless networks which allows for the simulation of network throughput for diff...
Robert Akl, Anurag Arepally
CP
2005
Springer
15 years 3 months ago
Solving Large-Scale Nonlinear Programming Problems by Constraint Partitioning
Abstract. In this paper, we present a constraint-partitioning approach for finding local optimal solutions of large-scale mixed-integer nonlinear programming problems (MINLPs). Ba...
Benjamin W. Wah, Yixin Chen
IACR
2011
129views more  IACR 2011»
13 years 9 months ago
Bounded Vector Signatures and their Applications
Although malleability is undesirable in traditional digital signatures, schemes with limited malleability properties enable interesting functionalities that may be impossible to o...
Lei Wei, Scott E. Coull, Michael K. Reiter