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TSMC
2002
156views more  TSMC 2002»
15 years 6 months ago
Varieties of learning automata: an overview
Automata models of learning systems introduced in the 1960s were popularized as learning automata (LA) in a survey paper in 1974 [1]. Since then, there have been many fundamental a...
M. A. L. Thathachar, P. Shanti Sastry
196
Voted
TVLSI
2002
118views more  TVLSI 2002»
15 years 6 months ago
A microcoded elliptic curve processor using FPGA technology
The implementation of a microcoded elliptic curve processor using field-programmable gate array technology is described. This processor implements optimal normal basis field operat...
Philip Heng Wai Leong, Ivan K. H. Leung
204
Voted
ML
2007
ACM
122views Machine Learning» more  ML 2007»
15 years 6 months ago
Status report: hot pickles, and how to serve them
The need for flexible forms of serialisation arises under many circumstances, e.g. for doing high-level inter-process communication or to achieve persistence. Many languages, inc...
Andreas Rossberg, Guido Tack, Leif Kornstaedt
PAMI
2007
138views more  PAMI 2007»
15 years 6 months ago
A Fast Biologically Inspired Algorithm for Recurrent Motion Estimation
—We have previously developed a neurodynamical model of motion segregation in cortical visual area V1 and MT of the dorsal stream. The model explains how motion ambiguities cause...
Pierre Bayerl, Heiko Neumann
157
Voted
PRL
2007
107views more  PRL 2007»
15 years 6 months ago
Robust SS watermarking with improved capacity
Robustness is a key attribute of spread spectrum (SS) watermarking scheme. It is significantly deteriorated if one tries to achieve high embedding rate keeping other parameters u...
Santi P. Maity, Malay K. Kundu, Tirtha S. Das