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» Predicting Lattice Reduction
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EAAI
2006
157views more  EAAI 2006»
15 years 4 months ago
Color reduction and estimation of the number of dominant colors by using a self-growing and self-organized neural gas
A new method for color reduction in a digital image is proposed, which is based on the development of a new neural network classifier and on a new method for Estimation of the Mos...
Antonios Atsalakis, Nikos Papamarkos
ISCAS
2005
IEEE
139views Hardware» more  ISCAS 2005»
15 years 9 months ago
The missing observations theorem and a new proof of Levinson's recursion
— A principle of linear mean-square estimation which we call the “missing observations theorem” is presented here and used to provide a simple alternative derivation of Levin...
Charles W. Therrien
DCC
2003
IEEE
16 years 3 months ago
The Insecurity of the Elliptic Curve Digital Signature Algorithm with Partially Known Nonces
Nguyen and Shparlinski recently presented a polynomial-time algorithm that provably recovers the signer's secret DSA key when a few bits of the random nonces k (used at each s...
Phong Q. Nguyen, Igor Shparlinski
GECCO
2007
Springer
314views Optimization» more  GECCO 2007»
15 years 10 months ago
Variable selection for wind power prediction using particle swarm optimization
Wind energy has an increasing influence on the energy supply in many countries, but in contrast to conventional power plants it is a fluctuating energy source. For its integration...
René Jursa
CDC
2008
IEEE
117views Control Systems» more  CDC 2008»
15 years 10 months ago
Stability of model predictive control based on reduced-order models
— In this paper, we present a systematic procedure for obtaining closed-loop stable output-feedback model predictive control based on reduced-order models. The design uses linear...
Svein Hovland, Christian Løvaas, Jan Tommy ...