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» Resampling methods for input modeling
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121
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NC
1998
101views Neural Networks» more  NC 1998»
15 years 4 months ago
Evolutionary Optimized Tensor Product Bernstein Polynomials versus Backpropagation Networks
In this paper a new approach for approximation problems involving only few input and output parameters is presented and compared to traditional Backpropagation Neural Networks (BP...
Günther R. Raidl, Gabriele Kodydek
ICCV
2005
IEEE
16 years 5 months ago
Shape and Appearance Repair for Incomplete Point Surfaces
This paper presents a new surface content completion framework that can restore both shape and appearance from scanned, incomplete point set inputs. First, the geometric holes can...
Seyoun Park, Xiaohu Guo, Hayong Shin, Hong Qin
118
Voted
KES
2008
Springer
15 years 3 months ago
Application of the Fuzzy Min-Max Neural Networks to Medical Diagnosis
In this paper, the Fuzzy Min-Max (FMM) neural network along with two modified FMM models are used for tackling medical diagnostic problems. The original FMM network establishes hyp...
Anas Quteishat, Chee Peng Lim
134
Voted
SMI
2008
IEEE
118views Image Analysis» more  SMI 2008»
15 years 9 months ago
A least-norm approach to flattenable mesh surface processing
Following the definition of developable surface in differential geometry, the flattenable mesh surface, a special type of piecewiselinear surface, inherits the good property of ...
Charlie C. L. Wang
123
Voted
ICIAR
2005
Springer
15 years 9 months ago
Text-Pose Estimation in 3D Using Edge-Direction Distributions
Abstract. This paper presents a method for estimating the orientation of planar text surfaces using the edge-direction distribution (EDD) extracted from the image as input to a neu...
Marius Bulacu, Lambert Schomaker