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IJCAI
1997
15 years 9 months ago
An Effective Learning Method for Max-Min Neural Networks
Max and min operations have interesting properties that facilitate the exchange of information between the symbolic and real-valued domains. As such, neural networks that employ m...
Loo-Nin Teow, Kia-Fock Loe
BC
2006
105views more  BC 2006»
15 years 7 months ago
A stochastic population approach to the problem of stable recruitment hierarchies in spiking neural networks
Recruitment learning in hierarchies is an inherently unstable process (Valiant, 1994). This paper presents conditions on parameters for a feedforward network to ensure stable recru...
Cengiz Günay, Anthony S. Maida
ET
2000
145views more  ET 2000»
15 years 7 months ago
Fast Test Pattern Generation for Sequential Circuits Using Decision Diagram Representations
The paper presents a novel hierarchical approach to test pattern generation for sequential circuits based on an input model of mixed-level decision diagrams. A method that handles,...
Jaan Raik, Raimund Ubar
EUSFLAT
2009
177views Fuzzy Logic» more  EUSFLAT 2009»
15 years 5 months ago
Fuzzy Voxel Object
In this paper, computer vision and fuzzy set theory are merged for the robust construction of three-dimensional objects using a small number of cameras and minimal a priori knowled...
Derek Anderson, Robert H. Luke III, Erik E. Stone,...
CVPR
1997
IEEE
14 years 3 months ago
Gradient Vector Flow: A New External Force for Snakes
Snakes, or active contours, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. Problems associated with initial...
Chenyang Xu, Jerry L. Prince