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AIA
2006
15 years 6 months ago
Recurrent and Concurrent Neural Networks for Objects Recognition
A system based on a neural network framework is considered. We used two neural networks, an Elman network [1][2] and a Kohonen (concurrent) network [3], for a categorization task....
Federico Cecconi, Marco Campenní
162
Voted
WAE
2000
95views Algorithms» more  WAE 2000»
15 years 6 months ago
Two-Dimensional Arrangements in CGAL and Adaptive Point Location for Parametric Curves
Given a collection C of curves in the plane, the arrangement of C is the subdivision of the plane into vertices, edges and faces induced by the curves in C. Constructing arrangemen...
Iddo Hanniel, Dan Halperin
ICML
2010
IEEE
15 years 6 months ago
Hilbert Space Embeddings of Hidden Markov Models
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
CAD
2005
Springer
15 years 4 months ago
Industrial geometry: recent advances and applications in CAD
Industrial Geometry aims at unifying existing and developing new methods and algorithms for a variety of application areas with a strong geometric component. These include CAD, CA...
Helmut Pottmann, Stefan Leopoldseder, Michael Hofe...
PRL
2002
128views more  PRL 2002»
15 years 4 months ago
Dynamic flies: a new pattern recognition tool applied to stereo sequence processing
The "fly algorithm" is a fast artificial evolution-based technique devised for the exploration of parameter space in pattern recognition applications. In the application...
Jean Louchet, Maud Guyon, Marie-Jeanne Lesot, Amin...