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» Computational Topology for Shape Modeling
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HYBRID
1998
Springer
15 years 11 months ago
High Order Eigentensors as Symbolic Rules in Competitive Learning
We discuss properties of high order neurons in competitive learning. In such neurons, geometric shapes replace the role of classic `point' neurons in neural networks. Complex ...
Hod Lipson, Hava T. Siegelmann
CGF
1999
130views more  CGF 1999»
15 years 6 months ago
A Free Form Feature Taxonomy
In this paper the notion of free form feature for aesthetic design is presented. The design of industrial products constituted by free form surfaces is done by using CAD systems r...
M. Fontana, Franca Giannini, M. Meirana
IPPS
1996
IEEE
15 years 11 months ago
An Optical Interconnect Model for k-ary n-cube Wormhole Networks
This paper presents an optical interconnect model for kary n-cube network topologies based on free-space analysis. This model integrates relevant parameters inherent to optics wit...
Mongkol Raksapatcharawong, Timothy Mark Pinkston
APPROX
2004
Springer
113views Algorithms» more  APPROX 2004»
16 years 3 days ago
Computationally-Feasible Truthful Auctions for Convex Bundles
In many economic settings, convex figures on the plane are for sale. For example, one might want to sell advertising space on a newspaper page. Selfish agents must be motivated ...
Moshe Babaioff, Liad Blumrosen
ICPR
2006
IEEE
16 years 7 months ago
A Charged Geometric Model for Active Contours
This paper presents a new deformable model based on charged particle dynamics and geometric contour propagation. It detects object boundaries with a charged active contour that pr...
Ronghua Yang, Majid Mirmehdi