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IJCNN
2008
IEEE
15 years 10 months ago
Image clustering with spiking neuron network
— The process of segmenting images is one of the most critical ones in automatic image analysis whose goal can be regarded as to find what objects are presented in images. Artifi...
B. Meftah, A. Benyettou, Olivier Lezoray, W. QingX...
EPIA
2009
Springer
15 years 7 months ago
Semantic Image Search and Subset Selection for Classifier Training in Object Recognition
Abstract. Robots need to ground their external vocabulary and internal symbols in observations of the world. In recent works, this problem has been approached through combinations ...
Rui Pereira, Luís Seabra Lopes, Augusto Sil...
SIGGRAPH
2010
ACM
15 years 8 months ago
A connection between partial symmetry and inverse procedural modeling
In this paper, we address the problem of inverse procedural modeling: Given a piece of exemplar 3D geometry, we would like to find a set of rules that describe objects that are s...
Martin Bokeloh, Michael Wand, Hans-Peter Seidel
FUIN
2010
136views more  FUIN 2010»
15 years 1 months ago
Modeling Biology using Generic Reactive Animation
Abstract. Complex biological systems involve incorporated behaviors of numerous processes, mechanisms and objects. However, experimental analysis, by its nature, divides biological...
Yaki Setty, Irun R. Cohen, David Harel
TEC
2002
81views more  TEC 2002»
15 years 3 months ago
Genetic object recognition using combinations of views
We investigate the application of genetic algorithms (GAs) for recognizing real two-dimensional (2-D) or three-dimensional (3-D) objects from 2-D intensity images, assuming that th...
George Bebis, Evangelos A. Yfantis, Sushil J. Loui...