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Similarity measurement is a crucial process in collaborative filtering. User similarity is computed solely based on the numerical ratings of users. In this paper, we argue that the social information of users should be also taken into consideration to improve the performance of traditional similarity measurements. To achieve this, we propose a clustering-based similarity measurement approach incorporating...
The objective of this paper is to describe the method of crops pattern change allocation, and to simulate the crops pattern in Heilongjiang province utilizing crop pattern simulator (CROPS) model. In this study, based on interpreted remote sensing data and crops pattern statistical data, CROPS model simulates long time series crop spatial pattern. Firstly, crops pattern and driving factor analysis...
Spatial Production Allocation Model (SPAM), developed by International Food Policy Research Institute (IFPRI), is one of broadest spatial models that applied a cross-entropy method to downscale the area and yield for each crop with a resolution of 5 arc minute globally for the year 2000 and 2005. To evaluate the accuracy of three staple crops (rice, wheat and maize) in China allocated by SPAM, we...
Previous research on facial expression recognition mainly focuses on near frontal face images, while in realistic interactive scenarios, the interested subjects may appear in arbitrary non-frontal poses. In this paper, we propose a framework to recognize six prototypical facial expressions, namely, anger, disgust, fear, joy, sadness and surprise, in an arbitrary head pose. We build a multi-pose training...
In this paper, one hybridized method, in which the periodic equivalence principle algorithm is combined with the equivalence principle algorithm, is proposed to solve the finite antenna array with large scale. This method based on the domain decomposition method is more efficient than full-wave methods and more accurate than asymptotical methods with periodic Green's function. Moreover, this approach...
During the course of sound source localization, the localization system often misoperates because of the environment noise, sensors' failure and other reasons. And there are outliers in the measurements because of the clutter environment. To solve this problem, this paper present a new Kalman filter based on outliers for sound source localization. By adaptively adjusting the measurement noise covariance...
In the actual course of target tracking, the measurement noise is changing at any time because of the impact of external environment, the problem of the sensors system and other reasons. Meanwhile, there are outliers in the measurements because of the clutter environment. However, the measurement noise covariance is changeless in standard Kalman filter, and the impact of outliers on the tracking results...
The Internet has recently been evolving from homogeneous congestion control to heterogeneous congestion control. Five years ago, Internet traffic was mainly controlled by the standard TCP AIMD algorithm, whereas Internet traffic is now controlled by many different TCP congestion control algorithms, such as AIMD, CUBIC, CTCP, and FAST. However, there is very little work on the performance and stability...
Sidechain prediction is an important subproblem of protein design and structure prediction. Construction of rotamer library is the basis for protein sidechain prediction because it provides the basic searching space for prediction. However, the state-of-the-art rotamer libraries focus on the statistical information of individual amino acids, ignoring the direct affection of its adjacent amino acids...
Based on the target localization of mobile robot, this paper has studied the localization system based on auditory perception mode. A model of the auditory system is established using bionics method so that the robot have the ability to handle the sound information and enhance its ability adapt to the environment. By designing the efficient denoising method to sound information, the robot can separate...
Recently, spectral clustering has wide application in pattern recognition and data mining because it can obtain global optima solution and adapt to sample spaces with any shape. Thus, a spectral clustering algorithm based on normalized cuts is proposed in this paper. It selects the k eigenvalues and corresponding eigenvectors of a given stochastic matrix and clusters in n times k sub-space. Experimental...
With the increased recognition of importance of design for testability, there is an increasing trend toward the development of efficient test strategies for system maintenance. An important issue in practical situation is the imperfect nature of tests, i.e., the tests can have missed detections and false alarms. An error diagnosis may result in false removal and missed repair of the components, thus,...
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