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ISNN
2010
Springer
15 years 4 months ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He
ICCV
2011
IEEE
14 years 6 months ago
Generalized Roof Duality for Pseudo-Boolean Optimization
The number of applications in computer vision that model higher-order interactions has exploded over the last few years. The standard technique for solving such problems is to red...
Fredrik Kahl, Petter Strandmark
EDBT
2008
ACM
122views Database» more  EDBT 2008»
16 years 6 months ago
Architectural Concerns for Flexible Data Management
Evolving database management systems (DBMS) towards more flexibility in functionality, adaptation to changing requirements, and extensions with new or different components, is a c...
Ionut Emanuel Subasu, Patrick Ziegler, Klaus R. Di...
ICRA
2005
IEEE
120views Robotics» more  ICRA 2005»
15 years 12 months ago
Complex Objects Pose Estimation based on Image Moment Invariants
— Moments are generic (and usually intuitive) descriptors that can be computed from several kinds of objects defined either from closed contours or from a set of points. In this...
Omar Tahri, François Chaumette
ESANN
2001
15 years 7 months ago
Constructive density estimation network based on several different separable transfer functions
Networks estimating probability density are usually based on radial basis function of the same type. Feature Space Mapping constructive network based on separable functions, optimi...
Wlodzislaw Duch, Rafal Adamczak, Geerd H. F. Dierc...