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ICRA
1998
IEEE
126views Robotics» more  ICRA 1998»
15 years 11 months ago
Matrix Normalization for Optimal Robot Design
Good robot performance often relies upon the selection of design parameters that lead to a well conditioned Jacobian or impedance "design" matrix. In this paper, a new d...
Leo J. Stocco, S. E. Salcudean, F. Sassani
184
Voted
IPPS
1998
IEEE
15 years 11 months ago
Optimizing Data Scheduling on Processor-in-Memory Arrays
In the study of PetaFlop project, Processor-In-Memory array was proposed to be a target architecture in achieving 1015 floating point operations per second computing performance. ...
Yi Tian, Edwin Hsing-Mean Sha, Chantana Chantrapor...
171
Voted
DIS
2006
Springer
15 years 10 months ago
Optimal Bayesian 2D-Discretization for Variable Ranking in Regression
In supervised machine learning, variable ranking aims at sorting the input variables according to their relevance w.r.t. an output variable. In this paper, we propose a new relevan...
Marc Boullé, Carine Hue
DAC
1995
ACM
15 years 10 months ago
Hierarchical Optimization of Asynchronous Circuits
Abstract— Many asynchronous designs are naturally specified and implemented hierarchically as an interconnection of separate asynchronous modules that operate concurrently and c...
Bill Lin, Gjalt G. de Jong, Tilman Kolks
IJON
2006
131views more  IJON 2006»
15 years 6 months ago
Optimizing blind source separation with guided genetic algorithms
This paper proposes a novel method for blindly separating unobservable independent component (IC) signals based on the use of a genetic algorithm. It is intended for its applicati...
J. M. Górriz, Carlos García Puntonet...