We address the denoising of images contaminated with multiplicative noise, e.g. speckle noise. Classical ways to solve such problems are filtering, statistical (Bayesian) methods, variational methods, and methods that convert the multiplicative noise into additive noise (using a logarithmic function), apply a variational method on the log data or shrink their coefficients in a frame (e.g. a wav...

MOTIVATION Phylogenies--the evolutionary histories of groups of organisms-play a major role in representing relationships among biological entities. Although many biological processes can be effectively modeled as tree-like relationships, others, such as hybrid speciation and horizontal gene transfer (HGT), result in networks, rather than trees, of relationships. Hybrid speciation is a signific...

The clustering problem under the criterion of minimum sum square of errors is a non-convex and non-linear problem, which possesses many locally optimal values, resulting that its solution often being stuck at locally optimal solution. In this paper, a hybrid genetic, tabu search and k-means algorithm, called GeneticTKM, is proposed for the clustering problem. A new mutation operator is presente...

A hybrid iterative learning algorithm for recurrent neural networks based on higher-order statistics to blind signal separation is presented in this paper. Fourth-order statistics are used as the separation criterion to train an RNN to perform the separation. Some simulation results for both artificially convoluted audio signals and real recordings demonstrate that the proposed approach is prom...

This paper discusses the minimax location problem with fuzzy locations of customers on a plane bounded by a convex polygon under a minmax criterion. Three types of fuzzy programming are presented for this problem according to different criteria, and Euclidean distances are assumed as the scenario. For solving the proposed models, a hybrid intelligent algorithm is designed.

In this paper we propose an.efficient algorithm for computing the solution to the finite time optimal control problem for discrete time linear hybrid systems with a quadratic performance criterion. The algorithm is based on a dynamic programming recursion and a multiparametric quadratic programming solver.

In this paper, we propose and analyze a new hybrid FEC/ARQ scheme using rate compatible punctured serial concatenated convolutional codes (SCCCs) which is suitable for flat-fading channels. Puncturing increases the transmitted code rate, and the rate compatibility criterion allows incremental redundancy to be transmitted after each decoding failure according to a code-combining type-II Hybrid A...

This paper presents a hybrid ant colony optimisation (HACO) algorithm for solving job shop problems. The criterion considered is the maximum completion time, the so-called makespan. The HACO algorithm improves the performance of intelligence optimisation algorithm, which adopts ant colony optimisation (ACO) algorithm to search in the global solution space, and tabu search (TS) algorithm is util...

Otsu’s method is one of the best image thresholding techniques, but its complexity increases tremendously with the number of thresholds. In this work, Otsu’s criterion function is reduced into a suitable form for easy computation. An algorithm using Particle Swarm Optimization (PSO) is then proposed which works much faster than the original Otsu multi thresholding. This method achieves performa...