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» Robot Dynamics: Equations and Algorithms
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IPMI
2005
Springer
14 years 4 months ago
PET Image Reconstruction: A Robust State Space Approach
Statistical iterative reconstruction algorithms have shown improved image quality over conventional nonstatistical methods in PET by using accurate system response models and measu...
Huafeng Liu, Yi Tian, Pengcheng Shi
TVCG
2008
167views more  TVCG 2008»
13 years 9 months ago
Optimal Surface Parameterization Using Inverse Curvature Map
Mesh parameterization is a fundamental technique in computer graphics. The major goals during mesh parameterization are to minimize both the angle distortion and the area distortio...
Yong-Liang Yang, Junho Kim, Feng Luo 0002, Shi-Min...
CEC
2010
IEEE
13 years 5 months ago
Parameter estimation with term-wise decomposition in biochemical network GMA models by hybrid regularized Least Squares-Particle
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
Prospero C. Naval, Luis G. Sison, Eduardo R. Mendo...
NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 10 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
NN
2002
Springer
115views Neural Networks» more  NN 2002»
13 years 10 months ago
A self-organising network that grows when required
The ability to grow extra nodes is a potentially useful facility for a self-organising neural network. A network that can add nodes into its map space can approximate the input sp...
Stephen Marsland, Jonathan Shapiro, Ulrich Nehmzow