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To increase the precision in recommendation, a heuristic recommendation method based on contextual social network is proposed. A contextual social network is constructed based on basic social network, including contextual information such as the trust relationship, user role, user profile and user preference. A heuristic method combined with collaborative filtering is introduced for recommendation...
With the development of Internet, online social networks and websites generate a large amount of data. At the same time, several distributed systems, represented by Hadoop, has been proposed to handle mass data. These systems provide both efficient and convenient way to construct different kinds of algorithms. Community detection, a traditional research area, is now facing the challenge of Big Data...
Multistatic passive radar systems provide higher positioning accuracy comparing with the bistatic ones. However, the positioning performance of the multistatic passive radar systems is largely dependent on the geometry. Especially, it is difficult to designate transmitters from the given ones in a single frequency network (SFN) based passive radar system. Therefore the receiver location is of crucial...
To achieve a usable range measurement feature using a Vehicle-Mounted monocular camera for ADAS (Advantage Drive Assist System), a pitch angle estimation with high accuracy is required. We propose a method for estimating pitch angle with a non-occurrence of cumulative error, and the initial pitch angle can be estimated simultaneously with only a Vehicle-Mounted monocular camera. We use the Harris-corner...
Hyperspectral imagery typically provides a wealth of information captured in a wide range of the electromagnetic spectrum for each pixel in the image; however, when used in statistical pattern-classification tasks, the resulting high-dimensional feature spaces often tend to result in ill-conditioned formulations. Popular dimensionality selection techniques such as filtering and wrapper methods fail...
Visual tracking has attracted a significant attention in the last few decades. The recent surge in the number of publications on tracking-related problems have made it almost impossible to follow the developments in the field. One of the reasons is that there is a lack of commonly accepted annotated data-sets and standardized evaluation protocols that would allow objective comparison of different...
With the explosion development of multimedia information on the Internet and online sharing community, social network and Community multimedia data have received plenty of attention. In order to analyze and mining the structure and characteristics of online network communities with their large number of multimedia data automatically, we look into community photos as an basic data source for community...
In order to describe the characteristics of medical image more fully in different scales and solve the problem of automatic image category annotation, multi-scale feature based medical image classification is discussed. A set of complementary image features in various scales, including gray-level, texture, shape features and features extracted in the frequency domain is used. An ensemble learning...
This paper presents how to exploit rank aggregation approach to make personalized recommendation in social tagging systems. For this, some basic methods based on different principles and features, such as user-based collaborative filtering (CF), graph-based method and social-based CF are first introduced. Then, we specially adjust and optimize these methods to produce better results. Then, we exploit...
Group recommender systems use various strategies to aggregate users' preferences into a common social welfare function which would maximize the satisfaction of all members. Group recommendation is essentially useful for websites, especially for social tagging systems. In this paper, we initially experiment with various rank aggregation strategies for group recommendation in social tagging systems...
Explained based on the pseudo-inverse method spectral reflectance restructuring principle, and has confirmed the entire restructuring process using the experiment and Matlab, and used the root-mean- square error, the color difference has carried on the appraisal for the spectrum restructuring aceuracy and the color chromaticity match aceuracy. The experiment proved that the pseudo inverse law restructuring...
The performance of DOA estimation with scalar sensor arrays using spatial sparse signal reconstruction (SSR) technique is affected by the grid spacing. In this paper, we formulate the DOA estimation with the acoustic vector sensor (AVS) arrays under SSR framework. A coarse-to-fine DOA estimation algorithm has been developed. The source spatial sparsity and the inter-relations among the manifold matrices...
In this paper, we propose an efficient blind timing skews estimation (TSE) method for TIADC systems by evaluating the autocorrelation of the analog input signal and the mean squared difference between the output samples of the two adjacent sub-ADCs. By approximating the input signal autocorrelation function using the second order Maclaurin series, an analytical solution of the blind TSE using noise...
In view of high-precision requirements for synchronism measurement of huge die forging press, using grating detection technology, the sensors' installation devices of active connection is designed to minimize the incline of moving beam on the impact of measurement accuracy. The analysis models of beam position detection devices are established by Adams, and comparative analysis of two types of detection...
A new method based on spectrophotometry was established for detecting the trace arsenic in water. With the existence of strong acid, the trace concentrations of arsenic after concentrating by JM-33 resin reacted with disulfoantipyl methane to form a 1:2 complex which the maximum absorption wave lied at 325nm with an apparent molar absorptivity of 1.74×1041/(mol·cm). When the concentration of arsenic...
Random forest is an excellent ensemble learning method, which is composed of multiple decision trees grown on random input samples and splitting nodes on a random subset of features. Due to its good classification and generalization ability, random forest has achieved success in various domains. However, random forest will generate many noisy trees when it learns from the data set that has high dimension...
Synthetic lethal genetic interactions are of interest as they can be used to predict function of unknown proteins and find drug target or drug combinations. In this study, we applied support vector machine (SVM) classifier to predict synthetic lethal genetic interactions in Saccharomyces cerevisiae based on domain information in proteins. We found that our method can predict synthetic lethal genetic...
To improve the performance of LDPC codes, we should detect and eliminate cycles in Tanner graph of the parity-check matrix when we make LDPC codes. We improved a logic algebraic algorithm in computing entire routes between the nodes of a communication network, and found a new method of detecting cycles in Tanner graph of LDPC codes. This method applied the logic algebraic calculation rules. First...
Camera vision calibration is the key technology of Video-based Traffic Monitoring System (VTMS). PTZ camera is used more and more widely in the VTMS for its high flexibility and mobility which also bring great difficulties in its calibration. This paper presented an automatic method of calibration for PTZ camera used in Expressway Monitoring System so that the system can implement calibration without...
Robust detection of moving objects in complex scenes is one of the most challenging issues in computer vision. In this paper, we present a novel texture-wise approach to segment moving objects with codebook and local binary patterns (LBP). In many moving segmentation algorithms, the information from limited frames before current image is used. Our approach models background over long time with small...
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