In this paper, a novel algorithm for face recognition with one sample per person is proposed. The proposed algorithm is based on contourlet. Multiple training images for each class are constructed through the decomposition and reconstruction of original training images by contourlet. Thus neighborhood discriminant nearest feature line analysis can be performed on the new database. The experimen...

Neuhauser (1992) considered the two-type contact process and showed that on Z2 coexistence is not possible if the death rates are equal and the particles use the same dispersal neighborhood. Here, we show that it is possible for a species with a long, but finite, range dispersal kernel to coexist with a superior competitor with nearest neighbor dispersal in a model that includes deaths of block...

We discuss the use of online learning of the local search neighborhood. Specifically, we consider the Linkage Tree Genetic Algorithm (LTGA), a population-based, stochastic local search algorithm that learns the neighborhood by identifying the problem variables that have a high mutual information in a population of good solutions. The LTGA builds each generation a linkage tree using a hierarchic...

Based on the inertia weight and acceleration coefficients of trigonometric function and variable neighborhood search, a modified particle swarm optimization is discussed. The modified PSO with the parameters of the trigonometric function has powerful global exploration at the beginning and ending of the evolution, and strongly local exploitation in the interim of run. Through analyzing the beha...

In several modular neural network (MNN) architectures, the individual decisions at the module level have to be integrated together using a voting scheme. All these voting schemes use the outputs of the individual modules to produce a global output without inferring explicit information from the problem feature space. This makes the choice of the aggregation procedure very subjective. In this wo...

In this paper we present a new method for voice disorders classification based on a gammachirp wavelet transform and multilayer neural network (MNN). The processing algorithm is based on a hybrid technique which uses the gammachirp wavelets coefficients as input of the MNN. The training step uses a speech database of several pathological and normal voices collected from the national hospital “R...

Lot output time prediction is a critical task to a wafer fabrication plant (wafer fab). To enhance the effectiveness, a look-ahead FBPN incorporating the future release plan is constructed in this study. Three nearest exponentially discounted future workloads, modified from Chen’s nearest future discounted workloads, are proposed for the look-ahead function. According to experimental results, t...

Connectivity is a fundamental concept that is widely utilized in spatial ecology. The majority of connectivity measures used in the recent ecological literature only consider the nearest neighbor patch/population, or patches within a limited neighborhood of the focal patch (a buffer). Meta-analysis suggests that studies using nearest neighbor connectivity measures are much less likely to find s...