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Clusters are well recognized regardless of their shape and of the dimensionality of the space in which they are embedded in traditional CFSFDP (Clustering by fast search and find of density peaks). But when large-scale dataset is processed, it takes too long time to calculate the distance between two data points. In this paper, we present a novel MapReduce-based CFSFDP clustering algorithm called...
In the wake of growing explosion of data and variable data format, collaborative filtering algorithm as a technology of E-commerce recommendation system cannot satisfy the requirement. Taking this as a starting point, this paper proposes a collaborative filtering algorithm based on MapReduce by using the MapReduce technology to realize the parallel filtering algorithm. In this algorithm, the data...
A stereo vision based road free space detection method was proposed in this paper. In the method, we firstly use semi global stereo matching to get disparity map, which then is projected to V disparity. Secondly, we use a modified Hough Transformation method to detect slope line to model road surface in V disparity map, then detect the vanishing line via road surface model and eliminate road and sky...
Link prediction in complex network often focuses on the single network in many fields and develops a lot of methods. However, the relationship between two dependent networks with specific global structure has hardly caught attention, but only the local topology analysis. In this paper, we aim to infer the correlation of two high dimensional dependent networks based on the similar nodes' attributes...
This paper introduces the relative principium of K-Means algorithm, simulated annealing (SA) algorithm and particle swarm optimization (PSO) algorithm at first. Then, in allusion to the influence of the initial value of the K-Means algorithm on the optimal solution of the algorithm, a hybrid algorithm of K-Means based on SA-PSO is proposed. The new algorithm uses the advantage of jumping out of local...
In recent years, parallel computing and machine learning have gradually became a research hotspot in big data field. Now users who are familiar with the R language can easily complete the data analysis on the platform of Apache Spark with the programming interface called SparkR provided by Apache Spark. There are several realized classification algorithms (including multiple classification and binary...
This paper presents a new contrast enhancement method using Histogram Equalization named Dualistc Sub-Image and Non-parametric Modified Histogram Equalization (DSINMHE). Our proposed method consists of three steps: (i) The original image is segmented into two sub-images by the median value of the image. (ii) Then we use the histogram modification technique to maximize entropy and control over enhancement...
For the problem that recommendation result is less accurate, this paper designs the process of the hybrid ant colony particle swarm algorithm(ACO-MPSO) in detail. Using the results of PSO algorithm to determine the initial phenomenon of colony algorithm to avoid the blindness, and importing Metropolis mechanism to avoid the premature phenomenon. Choosing quality of strong association rules as evaluation...
The abstract argumentation framework can only deal with the attack relations between single arguments and not allow the attack relations among the sets of arguments. However, there usually are various attack relations among groups in realistic applications of argumentation. In this paper, we propose a group-based argumentation framework, which allows us to cope with the attack relation among the sets...
In this paper we present a novel framework based on multi-feature extraction for anomaly detection in video surveillance which global anomaly and local anomaly are detected separately. To detect global anomaly, we define kinetic energy Ek and compute the first derivative of Ek and then derive a global anomaly score of each test frame. As for local anomaly detection, three kinds of local anomaly are...
As a framework for data fusion, it is a source of information through a combination of appropriate methods to get a more satisfactory result, mainly detection, estimation of multiple sources of data, and the combination treatment. Because the measurement data from multiple sources always have some degree of uncertainty and inconsistency, using multi-source data fusion algorithm for the measurement...
Cloud computing is a commercial application of distributed system. With the rapid development of cloud computing, resource management problem has been widely studied and discussed. Most of the existing researches concern resource allocation by launching virtual machines, however, instant monitoring of the hosts, load balancing of the cloud platform is much more important for cloud providers. In this...
Aiming at electro-hydraulic servo control system, the simulation model of fault self healing is studied and combine artificial immune system to self-healing for the purpose of making the electro-hydraulic servo control system feel their own status in the engineering applications. Some components faults and early breakdown can be recognized by using communication and coordination between its components...
This Bone X-ray images contain abundant texture information of bone trabeculae, high pass filter such as Butterworth filter can approach maintains and enhances trabecular bone texture combining histogram equalization, However, the biggest disadvantage of Butterworth high-pass filtering is an excessively slow operation speed. The newly proposed high-pass filtration algorithm based on spatial domain...
In order to fast register a camera into a 3D scene model under the Manhattan-World assumption, a method of matching corresponding 2D and 3D lines based on vanishing point is proposed in this paper. Firstly, this method detects line segments and estimates three orthogonal vanishing points to determine the local length of camera and the matrix from world to camera space. Afterwards, one line is drawn...
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