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» Computationally Efficient Neural Field Dynamics
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ICPR
2006
IEEE
14 years 1 months ago
Multiscale Feature Extraction of Finger-Vein Patterns Based on Curvelets and Local Interconnection Structure Neural Network
In this paper, we originally propose a multiscale feature extraction method of finger-vein patterns based on curvelets and local interconnection structure neural networks. The cur...
Zhongbo Zhang, Siliang Ma, Xiao Han
CVPR
2009
IEEE
15 years 2 months ago
Multiphase Geometric Couplings for the Segmentation of Neural Processes
The ability to constrain the geometry of deformable models for image segmentation can be useful when information about the expected shape or positioning of the objects in a scene i...
Amelio Vázquez Reina, Eric Miller, Hanspete...
ECCV
1998
Springer
14 years 9 months ago
Study of Dynamical Processes with Tensor-Based Spatiotemporal Image Processing Techniques
Abstract. Image sequence processing techniques are used to study exchange, growth, and transport processes and to tackle key questions in environmental physics and biology. These a...
Bernd Jähne, Horst W. Haussecker, Hanno Schar...
SIGGRAPH
1996
ACM
13 years 11 months ago
Real-Time, Continuous Level of Detail Rendering of Height Fields
We present an algorithm for real-time level of detail reduction and display of high-complexity polygonal surface data. The algorithm uses a compact and efficient regular grid repr...
Peter Lindstrom, David Koller, William Ribarsky, L...
ALENEX
2004
110views Algorithms» more  ALENEX 2004»
13 years 8 months ago
Computation of a Class of COntinued Fraction Constants
There are numerous instances where mathematical constants do not admit a closed form. It is then of great interest to compute them, possibly in an efficient way. So the question i...
Loïck Lhote