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» Accelerated Convergence Using Dynamic Mean Shift
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ICCV
2009
IEEE
14 years 10 months ago
Mode-Detection via Median-Shift
Median-shift is a mode seeking algorithm that relies on computing the median of local neighborhoods, instead of the mean. We further combine median-shift with Locality Sensitive...
Lior Shapira, Shai Avidan, Ariel Shamir
QEST
2007
IEEE
13 years 11 months ago
A Generic Mean Field Convergence Result for Systems of Interacting Objects
We consider a model for interacting objects, where the evolution of each object is given by a finite state Markov chain, whose transition matrix depends on the present and the pa...
Jean-Yves Le Boudec, David McDonald, Jochen Mundin...
IJIT
2004
13 years 6 months ago
Improving the Convergence of the Backpropagation Algorithm Using Local Adaptive Techniques
Since the presentation of the backpropagation algorithm, a vast variety of improvements of the technique for training a feed forward neural networks have been proposed. This articl...
Z. Zainuddin, N. Mahat, Y. Abu Hassan
CEC
2007
IEEE
13 years 9 months ago
A closed loop stability analysis and parameter selection of the Particle Swarm Optimization dynamics for faster convergence
This paper presents an alternative formulation of the PSO dynamics by a closed loop control system, and analyzes the stability behavior of the system by using Jury's test and ...
Nayan R. Samal, Amit Konar, Swagatam Das, Ajith Ab...
SAC
2009
ACM
14 years 4 days ago
A gradient oriented recombination scheme for evolution strategies
This paper proposes a novel recombination scheme for evolutionary algorithms, which can guide the new population generation towards the maximum increase of the objective function....
Haifeng Chen, Guofei Jiang