نتایج جستجو برای: feature oriented principal component analysis
تعداد نتایج: 3577033 فیلتر نتایج به سال:
We apply machine learning methods to obtain an index arbitrage strategy. In particular, we employ linear regression and support vector regression (SVR) onto the prices of an exchange-traded fund and a stream of stocks. By using principal component analysis (PCA) in reducing the dimension of feature space, we observe the benefit and note the issues in application of SVR. To generate trading sign...
This paper presents a technique for the analysis and recognition of body motion using local appearance. A set of spatio-temporal lters are determined by principal component analysis of the contents of spatio-temporal neighborhoods from a set of image sequences. A few principal components deene the basis for an orthogonal space for describing the appearance of motion. The axes of this space repr...
This chapter discusses the estimation of a high resolution directional field of fingerprints. Traditional methods are compared to a new method, based on principal component analysis. The method is adapted to compute the directional field and its coherence in each pixel. By combining a non-uniform window with efficient filter techniques, the method can also be used to estimate a block directiona...
With the increasing market share of the smartphone, more and more people use m-payment (mobile payment) to pay for something in their daily life. In this paper, a brand new m-payment framework which based on face authentication is proposed after studying existing m-payment security frameworks. On the basis of traditional password authentication technology, this new face authentication based fra...
With the increasing use of internet, users are accessing information and services easily through various media like social communication, multimedia content, online shopping and banking services etc. It becomes challenging task to accurately identify and differentiate normal and suspicious user behavior. Various businesses need information of next user behavior prediction to enhance their servi...
With the increasing variety of application software of meteorological satellite ground system, how to provide reasonable hardware resources and improve the efficiency of software is paid more and more attention. In this paper, a set of software classification method based on software operating characteristics is proposed. The method uses software run-time resource consumption to describe the so...
This paper presents a feature selection method based on the popular transformation approach: principal component analysis (PCA). It is popular because it finds the optimal solution to several objective functions (including maximum variance and minimum sum-squared-error), and also because it provides an orthogonal basis solution. However, PCA as a dimensionality reduction algorithm do not explic...
Due to the differences of imaging principles, image matching between visible and thermal infrared images still exist new challenges and difficulties. Inspired by the complementary spatial and frequency information of geometric structural features, a robust descriptor is proposed for visible and thermal infrared images matching. We first divide two different spatial regions to the region around ...
In modern society, more and more people are suffering from some type of stress. Monitoring and timely detecting of stress level will be very valuable for the person to take counter measures. In this paper, we investigate the use of decision analytics methodologies to detect stress. We present a new feature selection method based on the principal component analysis (PCA), compare three feature s...
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