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NC
1998
140views Neural Networks» more  NC 1998»
13 years 10 months ago
Recurrent Neural Networks with Iterated Function Systems Dynamics
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
Peter Tiño, Georg Dorffner
CORR
2010
Springer
95views Education» more  CORR 2010»
13 years 9 months ago
Statistical Compressive Sensing of Gaussian Mixture Models
A new framework of compressive sensing (CS), namely statistical compressive sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical dist...
Guoshen Yu, Guillermo Sapiro
IJON
2006
131views more  IJON 2006»
13 years 8 months ago
Optimizing blind source separation with guided genetic algorithms
This paper proposes a novel method for blindly separating unobservable independent component (IC) signals based on the use of a genetic algorithm. It is intended for its applicati...
J. M. Górriz, Carlos García Puntonet...
JVCA
2006
140views more  JVCA 2006»
13 years 8 months ago
A fast triangle to triangle intersection test for collision detection
The triangle-to-triangle intersection test is a basic component of all collision detection data structures and algorithms. This paper presents a fast method for testing whether tw...
Oren Tropp, Ayellet Tal, Ilan Shimshoni
MOC
1998
106views more  MOC 1998»
13 years 8 months ago
Bounds for eigenvalues and condition numbers in the p-version of the finite element method
In this paper, we present a theory for bounding the minimum eigenvalues, maximum eigenvalues, and condition numbers of stiffness matrices arising from the p-version of finite ele...
Ning Hu, Xian-Zhong Guo, I. Norman Katz