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» The GLOBAL optimization method revisited
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CEC
2005
IEEE
14 years 2 months ago
Adaptive cluster covering and evolutionary approach: comparison, differences and similarities
In case the objective function to be minimized is not known analytically and no assumption can be made about the single extremum, global optimization (GO) methods must be used. Pap...
Dimitri P. Solomatine
PG
1999
IEEE
14 years 1 months ago
Subdivision Surface Fitting to a Range of Points
The objective of this research is to apply the subdivision surface for surface fitting problems when generating surfaces from data points or polyhedral models. The basic idea is t...
Hiromasa Suzuki, Shingo Takeuchi, Fumihiko Kimura,...
ICB
2007
Springer
142views Biometrics» more  ICB 2007»
14 years 26 days ago
Speaker Verification with Adaptive Spectral Subband Centroids
Abstract. Spectral subband centroids (SSC) have been used as an additional feature to cepstral coefficients in speech and speaker recognition. SSCs are computed as the centroid fre...
Tomi Kinnunen, Bingjun Zhang, Jia Zhu, Ye Wang
MP
2006
80views more  MP 2006»
13 years 9 months ago
Minimizing Polynomials via Sum of Squares over the Gradient Ideal
A method is proposed for finding the global minimum of a multivariate polynomial via sum of squares (SOS) relaxation over its gradient variety. That variety consists of all points ...
Jiawang Nie, James Demmel, Bernd Sturmfels
CASES
2003
ACM
14 years 2 months ago
Compiler-decided dynamic memory allocation for scratch-pad based embedded systems
This paper presents a highly predictable, low overhead and yet dynamic, memory allocation strategy for embedded systems with scratch-pad memory. A scratch-pad is a fast compiler-m...
Sumesh Udayakumaran, Rajeev Barua