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» More than just shape: a representation for functionality
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GECCO
2009
Springer
14 years 1 months ago
The sensitivity of HyperNEAT to different geometric representations of a problem
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
Jeff Clune, Charles Ofria, Robert T. Pennock
PR
2008
206views more  PR 2008»
13 years 9 months ago
A study of graph spectra for comparing graphs and trees
The spectrum of a graph has been widely used in graph theory to characterise the properties of a graph and extract information from its structure. It has also been employed as a g...
Richard C. Wilson, Ping Zhu
BMCBI
2007
142views more  BMCBI 2007»
13 years 9 months ago
SABERTOOTH: protein structural alignment based on a vectorial structure representation
Background: The task of computing highly accurate structural alignments of proteins in very short computation time is still challenging. This is partly due to the complexity of pr...
Florian Teichert, Ugo Bastolla, Markus Porto
VMV
2003
154views Visualization» more  VMV 2003»
13 years 10 months ago
Piecewise Linear Approximation of Signed Distance Fields
The signed distance field of a surface can effectively support many geometry processing tasks such as decimation, smoothing, and Boolean operations since it provides efficient a...
Jianhua Wu, Leif Kobbelt
ECCV
2004
Springer
14 years 2 months ago
Statistical Learning of Evaluation Function for ASM/AAM Image Alignment
Alignment between the input and target objects has great impact on the performance of image analysis and recognition system, such as those for medical image and face recognition. A...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang