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HYBRID
2007
Springer
16 years 22 days ago
Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...
Lars Blackmore, Askar Bektassov, Masahiro Ono, Bri...
IJCNN
2006
IEEE
16 years 18 days ago
Online Training of a Generalized Neuron with Particle Swarm Optimization
— Neural networks are used in a wide number of fields including signal and image processing, modeling and control and pattern recognition. Some of the most common type of neural ...
Raveesh Kiran, Sandhya R. Jetti, Ganesh K. Venayag...
ISCAS
2006
IEEE
108views Hardware» more  ISCAS 2006»
16 years 18 days ago
An optimal normal basis elliptic curve cryptoprocessor for inductive RFID application
In this paper a 173-bit type II ONB ECC processor Section II introduces the mathematical backgrounds for for inductive RFID applications is described. Compared with curve operation...
Pak-Keung Leung, Oliver Chiu-sing Choy, Cheong-fat...
ICPR
2002
IEEE
15 years 11 months ago
Near-Optimal Regularization Parameters for Applications in Computer Vision
Computer vision requires the solution of many ill-posed problems such as optical flow, structure from motion, shape from shading, surface reconstruction, image restoration and ed...
Changjiang Yang, Ramani Duraiswami, Larry S. Davis
DAWAK
2001
Springer
15 years 11 months ago
Optimization Algorithms for Simultaneous Multidimensional Queries in OLAP Environments
Multi-Dimensional Expressions (MDX) provide an interface for asking several related OLAP queries simultaneously. An interesting problem is how to optimize the execution of an MDX q...
Panos Kalnis, Dimitris Papadias