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The high-probability ictus of cardiovascular diseases as well as the rapid proliferation of personal wearable devices points to the emergence of machine aided automatic identification and diagnosis with electrocardiograph (ECG). Most of existing algorithms of the identification of normal/abnormal ECG waveforms are computationally complicated and time-consuming, which cannot couple with the constant...
A better understanding of travel demand will enable transit authorities to evaluate the services they offer, adjust marketing strategies and improve overall transit performance. In this paper, we aim to develop a method to identify the trip purpose of passenger flow who have trips to commercial district. While the same region always has the different functions, it is fairly challenging to identify...
Tax risk management is a new business field of tax management, which has become the core task of professional revenue management. As the traditional tax payment model has shortcoming of inefficiency and high cost, it is necessary to create a stable and orderly management environment to identify tax risks for different taxpayers quickly and efficiently. In this paper, the theory of machine learning...
This paper aims at constructing a good graph to discover the intrinsic data structures under a semisupervised learning setting. First, we propose to build a nonnegative low-rank and sparse (referred to as NNLRS) graph for the given data representation. In particular, the weights of edges in the graph are obtained by seeking a nonnegative low-rank and sparse reconstruction coefficients matrix that...
On the basis of analyzing some existing video steganographic algorithms and find out some problems, like have large impact on the video quality and bit rate, so we propose a new algorithm based on grey relational analysis combining with the partition modes features of the H.264/AVC. The algorithm firstly compute the grey relevancy of blocks and judge if it has texture features. Then perform DCT on...
Automatic fingerprint identification is one of the most important biometric technologies. Automatic fingerprint identification depends mainly on the comparison of ridge characteristics. The ridge characteristics include ridge ending, ridge bifurcation. How to extract those minutiae effectively is the key of automatic fingerprint identification. This paper uses a square Gabor filter using local average...
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