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In this paper, we utilize 4D tensor structure to explore efficient structure information for 3D facial expression recognition. As a powerful tool to analyze multidimensional nonnegative tensor data, nonnegative tensor factorization (NTF) aims to obtain a partly localized representation of high-dimensional tensors. However, the NTF algorithms often suffer from both high computational complexity and...
With the rapid development of the Internet Web 2.0 technology, the demands of large-scale distributed service and storage in cloud computing have brought great challenges to traditional relational database. NoSQL database which breaks the shackles of RDBMS is becoming the focus of attention. In this paper, the principles and implementation mechanisms of Auto-Sharding in MongoDB database are firstly...
Because the variable inertia weight particle swarm optimization algorithm is easy to fall into the local optimum, this paper introduces the improved simulated annealing operator, chaotic disturbance operator and Cauchy mutation operator to the former and proposes an improved particle swarm optimization algorithm; Then, two typical Benchmark functions are used to test the performance of basic the proposed...
In this paper, a novel appearance-based method that called Tensor Orthogonal Locality Sensitive Discriminat Analysis (Tensor OLSDA) is presented for 3D face recognition. Our algorithm is motivated by the Locality Sensitive Discriminant Analysis (LSDA) algorithm, which aims at finding a projection by maximizing the margin between data points from different classes at each local area. However, LSDA...
The problem of belief revision and specification evolution has been studied for years. Different methods have been proposed to solve this problem. However, the problem of efficiency has not been solved well. Therefore, this paper proposes a revision algorithm based on assignment equivalence classes to improve the efficiency of the delegate model based algorithm. The new algorithm follows the same...
An innovative Gabor-based Orthogonal Locality Sensitive Discriminant Analysis for face recognition is presented in this paper. This algorithm is based on a combination of Gabor wavelets representation of face images and a new Orthogonal Locality Sensitive Discriminant Analysis for face recognition. In this paper, a Gabor filter is first designed to extract the features from the whole face images,...
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