Abstract   Many parameter-tuning algorithms have been proposed for training Fuzzy Wavelet Neural Networks (FWNNs). Absence of appropriate structure, convergence to local optima and low speed in learning algorithms are deficiencies of FWNNs in previous studies. In this paper, a Memetic Algorithm (MA) is introduced to train FWNN for addressing aforementioned learning lacks. Differential Evolution...

palmprint recognition is a new biometrics system based on physiological characteristics of the palmprint, which includes rich, stable, and unique features such as lines, points, and texture. texture is one of the most important features extracted from low resolution images. in this paper, a new local descriptor, local composition derivative pattern (lcdp) is proposed to extract smartly stronger...

Palmprint recognition is a new biometrics system based on physiological characteristics of the palmprint, which includes rich, stable, and unique features such as lines, points, and texture. Texture is one of the most important features extracted from low resolution images. In this paper, a new local descriptor, Local Composition Derivative Pattern (LCDP) is proposed to extract smartly stronger...

Binary code embedding methods can effectively compensate the quantization error of bag-of-words (BoW) model and remarkably improve the image search performance. However, the existing embedding schemes commonly generate binary code by projecting local feature from original feature space into a compact binary space. The spatial relationship between the local feature and its neighbors are ignored....

This paper emphasizes the spatial nature of the job search process and analyzes the effects of job accessibility on search duration. A theoretical spatial job search model shows how the pattern and efficiency of job search activity may be affected by spatial labor market conditions. The empirical analysis develops unique measures of job accessibility. The results provide strong support of the s...