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In order to prevent the financial risks of enterprises effectively, the risks evaluation is of great importance. This paper analyses the main factors that affect enterprise financial risks by using the T-test and nonparametric test in statistical software SPSS15.0 and the gray relevance theory (GRA). These factors are considered as the input variables of BP neural network and 56 enterprises are selected...
Influence on Twitter has drawn a lot of attention these past few years since this microblogging service is used to share, seek or debate about any kind of information. Several tools providing so-called influential scores have thus been proposed. However, the algorithms behind them are kept secret and it is not clear how they consider influence. Yet, many users rely on such tools to evaluate and even...
The ionospheric total electron content (TEC) is an important ionospheric parameters, Research of it has important significance on communication, radar, spaceflight, GNSS and other domains. Traditional short-term forecast model of ionospheric TEC uses single model so as to affects the prediction precision. A combination model based on seasonal model and ARMA model was put forward to overcome the shortages...
Visual and near infrared (VIS-NIR) face image matching, which is also called cross-spectral face matching in heterogeneous face recognition, is important for security application. However, most existing methods perform poorly in this scenario because of the cross-modality appearance differences. To address this problem, we propose a new method named multi-feature based Multi-view Smooth Discriminant...
A texture descriptor based on a set of indices of degrees of local approximating polynomials is proposed in this paper. An image is split into non-overlapping patches, reshaped into one-dimensional source vectors and convolved with the polynomial approximation kernels of various degrees p. As a result, a set of approximations is obtained. For each element of the source vector, these approximations...
Imperfection of remote sensing data greatly affects the performance of information fusion algorithm. To solve this problem, a Gaussian kernel-based Fuzzy Rough Set fusion algorithm is proposed, since Fuzzy Rough Set theory is an effect tool to model uncertainties of data. For feature reduction a novel index is proposed to evaluate the significance of features, considering both the relevance between...
Target detection (TD) is one of the fundamental tasks in hyperspectral imagery (HSI) processing. Sparse representation (SR) as a novel tool is powerful in accurate detection of target of interest. In this paper, SR approach within disconnected spatial support is proposed for effective TD in HSI. For conventional sparse representation, an HSI pixel is represented as a sparse vector whose non-zero entries...
Aiming at the high accuracy and speed requirements of images registration for multiband data or hyperspectral data, a new method which combines scale invariant feature transform (SIFT) with vegetation index analysis is put forward. Firstly, feature points extracted by SIFT algorithm are classified into two sets — points on vegetation area and points on non-vegetation area, which is based on vegetation...
Intelligent Transportation Systems (ITS) is becoming more and more popular in daily life. The License Plate Recognition (LPR) is an important part of the ITS, and it is also a basic part in traffic management. Generally speaking, the LPR system consists of three parts: license plate location, license plate character segmentation and character recognition. In this paper, a license plate character segmentation...
Attenuated total reflection spectroscopy is an accurate method for investigating the complex dielectric properties of polar liquids. In this contribution the error sources from phase instability and angular alignment uncertainty are studied. A novel method to compensate the errors is demonstrated.
The aim of this paper was to separate the EEG recordings into cerebral and noncerebral waves and compare a statistical properties of chosen components using the coefficient of excess kurtosis. Noncerebral waves, particularly the ocular artifacts, should be properly identified, because some of them imitate the cerebral potentials. The eye opening and closure, blinks or eye flutter are similar to the...
Organizations be it private or public often collect personal information about an individual who are their customers or clients. The personal information of an individual is private and sensitive which has to be secured from data mining algorithm which an adversary may apply to get access to the private information. In this paper we have consider the problem of securing these private and sensitive...
Script identification is an important area in handwriting document image analysis field. The script identification at word level on documents written in multiple scripts is an open challenge for the scientific community and a real concern in countries with multiple official languages, e. G. The country like India. Such documents usually contain two scripts: the most of the document are written in...
Object recognition is a very important task in the field of computer vision. We present a new method for object recognition. The image content is described by the image gradient. Then, the intersection distance is proposed to measure the similarities of the images of different objects. Our method demonstrates good performances on three face data sets.
Visualizing information extracted from text is helpful for intuitively understanding the information. Extracting and visualizing personal relationships from text is one of the promising applications of this approach. Existing methods usually estimate personal relationships from direct co-occurrences of personal names that appear in a text. In our previous work, we proposed a method for extracting...
Controls based on Augmented Reality (AR), Tilt and Touch have been evaluated in a point and shoot game for mobile devices. A user study (n=12) was conducted to compare the three controls in terms of player experience and accuracy. Tilt and AR controls provided more enjoyment, immersion and accuracy to the players than Touch. Nonetheless, Touch caused fewer nuisances and was playable under more varied...
He Hansen coefficients are one of the most important tools in the analytical or semi-analytical methods of celestial mechanics. The problem of efficient computation was investigated in detail in many papers, but this subject is still open and to date there are not standard algorithms to generate the Hansen coefficients with accuracy and good computation time. Although the analytical expressions are...
Recommendation systems are popular both commercially and in the research community. For example, Online Social Networks (OSNs), like Twitter, are of special attention since a lot of connection are established between users without any previous knowledge. This highlights one of the key features of a lot of OSNs: the creation of relationships between users. Therefore, it is important to find new ways...
Even small changes of electrode recording sites after training a classifier heavily influence robustness and usability of traditional pattern recognition-based myoelectric control schemes. This effect occurs during donning and doffing of the prosthesis or when changing the arm position and generally leads to a significant decrease of classification accuracy. On the other hand, image representations...
Collaborative Filtering (CF) algorithm is the common solution to Recommender System (RS). With the development of network and storage technology, the amount of users and items in RS system is exclusively growing. How to increase the scalability and recommendation accuracy of CF are the main concerns in the related research. In this paper, an efficient implementation for user-based CF algorithm on...
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