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Dimensionality reduction is a very important part in the field of face recognition. In view of the problem of the traditional dimensionality reduction methods are inconvenient to select neighbor parameter K and the “dense” characteristic of the low-rank representation coefficient matrix. We presented a method that semi-supervised discriminant analysis via weighted low-rank representation and adaptive...
Study in UAV aerial image quality assessment algorithm. Aiming at the characteristics of lack of reference images, have large amount of data and degradation type is mainly about blurry, we put forward a rapid and effective no-reference aerial image quality assessment algorithm based on the natural scene statistics. This algorithm reduces the computational complexity of traditional algorithms based...
As the routing protocol can greatly influence the energy consumption of the sensor nodes in research field of wireless sensor networks. In this paper, we present a novel distributed hash table based routing algorithm for wireless sensor networks. Distributed hash table is a kind of distributed memory approach, of which the single node can be expanded to the whole Internet. Particularly, each node...
The k-modes clustering algorithm is undoubtedly one of the most widely used partitional algorithms for categorical data. Unfortunately, due to its gradient descent nature, this algorithm is highly sensitive to the initialization of clustering. Categorical initialization methods have been proposed to address this problem. In this paper, we present an overview of initialization methods of clustering...
To improve the estimation efficiency of spectral correlation and decrease its computational complexity, it was presented that FFT and correlation of FAM are replaced by modified sliding FFT and one-bit correlation. Its closed expression of complexity is given by virtue of real multiplication and real addition. And methods of digital implementations and corresponding process are provided. According...
An enhanced image segmentation of IR thermal images based on two-dimensional classes square error is discussed. Aimed at the low distinguish ability, low SNR of IR thermal images and very high computation cost of image segmentation of two-dimensional classes square error, a new image segmentation algorithm based on chaos-genetic algorithms is proposed. The experimentspsila results show that, because...
Edge detection of images is a classical problem in computer vision and image processing. The key of edge detection is the choice of threshold; the choice of threshold directly determines the results of edge detection. How to automatically determine an optimal threshold is one of difficult points of edge detection. In this paper, Sobel edge detection operator and its improved algorithm are first discussed...
The premise of the enterprise that implements the product family architecture is the analysis to the sailed products history data, carrying on accuracy demarcation of the customer sets and products sets. But, the traditional cluster methods consist in simultaneous one partitioning of the set of products or the set of customers. In this paper we review the most widely used and successful biclustering...
This paper proposes a continuous learning algorithm for feedforward neural networks, an improvement of traditional BP algorithm. Then analyze its convergence and bring up one fuzzy control algorithm to realize adjusting control variables adaptively in order to improve its performance in convergence. At last, we apply this continuous learning algorithm based on fuzzy controller to lateral prediction...
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