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» Graphical Models: Foundations of Neural Computation
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SMA
2008
ACM
154views Solid Modeling» more  SMA 2008»
13 years 7 months ago
Consistent computation of first- and second-order differential quantities for surface meshes
Differential quantities, including normals, curvatures, principal directions, and associated matrices, play a fundamental role in geometric processing and physics-based modeling. ...
Xiangmin Jiao, Hongyuan Zha
SIBGRAPI
2003
IEEE
14 years 27 days ago
Learning-Based versus Model-Based Log-Polar Feature Extraction Operators: A Comparative Study
In this paper, we compare two distinct primal sketch feature extraction operators: one based on neural network feature learning and the other based on mathematical models of the f...
Herman Martins Gomes, Robert B. Fisher
ECEASST
2010
13 years 2 months ago
Verified Visualisation of Textual Modelling Languages
Abstract. Many modelling languages have both a textual and a graphical form. The relationship between these two forms ought to be clear and concrete, but is instead commonly unders...
Fintan Fairmichael, Joseph Kiniry
IPPS
2010
IEEE
13 years 5 months ago
Acceleration of spiking neural networks in emerging multi-core and GPU architectures
Recently, there has been strong interest in large-scale simulations of biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference capabi...
Mohammad A. Bhuiyan, Vivek K. Pallipuram, Melissa ...
ICPR
2010
IEEE
13 years 5 months ago
A Simulation Study on the Generative Neural Ensemble Decoding Algorithms
Brain-computer interfaces rely on accurate decoding of cortical activity to understand intended action. Algorithms for neural decoding can be broadly categorized into two groups: d...
Sung-Phil Kim, Min-Ki Kim, Gwi-Tae Park