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Trajectory-based human activity recognition aims at understanding human behaviors in video sequences, which is important for intelligent surveillance. Some existing approaches to this problem, e.g., the hierarchical Dirichlet process hidden Markov models (HDP-HMM), have a severe limitation, namely the motions cannot be shared among activities. To overcome this shortcoming, we propose a new method...
Based on the Bayesian learning principle (BayesMSDA), this paper presents a new multi-source domain adaptation framework, where one target domain and more than one source domains are used. In this framework, the label of a target data point is determined according to its posterior probability, which is calculated using the Bayesian formula. To fulfill this framework, a novel prior of the target domain...
This paper constructs 30 different S-boxes of Rijndael algorithm by MATLAB using 30 irreducible polynomials the maximum power of which is eight in GF(28). Then, through taking four kinds of cryptographic properties tests and fifteen kinds of cryptograph randomness tests on 30 different S-boxes, we find that the S-box which is constructed by No.22 irreducible polynomial is better than the original...
This paper describes the designation and structure of S-boxes which are the fundament of the Rijndael algorithm and finds the optimization of them using four kinds of testing methods. Firstly, it constructs different S-boxes by Matlab using 30 irreducible polynomials the maximum power of which is eight in a finite field. Through taking their performance analysis, we find that they have the similar...
The method of common spatial patterns (CSP) is an effective feature extractor for representing electroencephalogram (EEG) signals with the purpose of classification in brain computer interfaces (BCIs). However, it has two apparent demerits mainly about the estimation of covariance matrices which sacrifice its performance. First, the estimator of sample covariance is non-robust; Second, the possible...
It is rather hard to achieve high recognition reliability using a single set of features and a single classifier for off-line handwritten numeral recognition systems. In this paper, we present a two-stage classifier for recognizing handwritten Bangla numerals. The first stage classifier is a decision tree based on ID3 algorithm, and the second one is a series of decision trees combined by Weight-Restricting-Based...
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