The process of feature point detection is the first stage of many computer vision applications including object detection, recognition andreconstruction. Aimed at the drawbacks(e.g. inefficiency and poorrotation inv...
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The process of feature point detection is the first stage of many computer vision applications including object detection, recognition andreconstruction. Aimed at the drawbacks(e.g. inefficiency and poorrotation invariance) of some classical detectors for volumetric data, we present a new scale-invariant center surround feature detector. Combining a 3dcenter surround feature point detector and the use of an integral image will accelerate the building of the scale space. Meantime, we also use Harris criterion to perform line suppression to enhance the stability of feature point detection. The experimental results indicate that our new detectors make the balance between computational efficiency andrepetition rate.
resource scheduling algorithm for ForCES(Forwarding and Control Element Separation) networks need to meet the flexibility,programmability and scalability of node ***(deadline Budget Constrain) algorithm relies on user...
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resource scheduling algorithm for ForCES(Forwarding and Control Element Separation) networks need to meet the flexibility,programmability and scalability of node ***(deadline Budget Constrain) algorithm relies on users select cost or time priority,then scheduling to meet the requirements of ***,this priority strategy of users is relatively simple,and cannot adapt to dynamic change of resources,it is inevitable to reduce the *** order to improve QoS,we refer to the economic model andresource scheduling model of cloud computing,use SAL(Service Level Agreement) as pricing strategy,on the basis of dBC algorithm,propose an dABP(deadline And Budget Priority based on dBC) algorithm for ForCES networks,dABP combines both budget and time priority to *** simulation and test,we compare the task finish time and cost of dABP algorithm with dP(deadline Priority) algorithm and BP(Budget Priority) algorithm,the analysis results show that dABP algorithm make the task complete with less cost within deadline,benifical to load balancing of ForCES networks.
The past decade has witnessed the birth of the golden age of precision cosmology. In particular, cosmic microwave back- ground （CMB） measurements have provided a powerful observational window to probe the earliest e...
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The past decade has witnessed the birth of the golden age of precision cosmology. In particular, cosmic microwave back- ground （CMB） measurements have provided a powerful observational window to probe the earliest epochs of our Universe. recently （March, 2014）, the Background Imaging of Cosmic Extragalactic Polarization （BICEP2） telescope at the South Pole announced the first detection of primordial B-mode polarization of the CMB that, if confirmed,
Applications can only reach 8 %~15 % of utilization on modern computersystems. There are many obstacles to improving system efficiency. The key root is the conflict between the fixed general computer architecture and...
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Applications can only reach 8 %~15 % of utilization on modern computersystems. There are many obstacles to improving system efficiency. The key root is the conflict between the fixed general computer architecture and the variable requirements of applications. Proactive reconfigurable computing architecture(PrCA) is proposed to improve computing efficiency. PrCA dynamically constructs an efficient computing architecture for a specific application via reconfigurable technology by perceiving requirements,workload and utilization of computing resources. Proactive decision support system(PdSS),hybridreconfigurable computing array(HrCA) andreconfigurable interconnect(rIC) are intensively researched as the key technologies. The principles of PrCA have been verified with four applications on a test bed. It is shown that PrCA is feasible and highly efficient.
As an efficient pre-processing technology, superpixel has been widely used in image segmentation, which improves the final results andreduces the complexity of the subsequent processing tasks. This paper presents an ...
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ISBN:
(纸本)9781479958368
As an efficient pre-processing technology, superpixel has been widely used in image segmentation, which improves the final results andreduces the complexity of the subsequent processing tasks. This paper presents an interactive image segmentation method based on the hierarchical superpixels initialization andregion merging. It firstly proposes a novel hierarchical superpixels initialization framework including the coarse segmentation and the precise re-segmentation, which significantly reduces the number of superpixels, while keeping the boundaries adherence of superpixels satisfactory. Then the color histogram feature is applicable to the similarity measurement between two neighboring superpixels, and the Maximum A Posteriori Probability (MAP) estimation based on the color histogram is incorporated to estimate the probability that each non-marker superpixel belongs to the background. This paper establishes two different similarity measurements for the different stages in the MSrM merging procedure. Experiments verify the effectiveness of the proposed hierarchical framework to generate desired superpixels. The new interactive segmentation method can rapidly extract the object from the background.
According to the application of Superword Level Paralleism SLP auto-vectorization compiling system in digital Signal Processing(dSP), due to the specialized functions of dSP frame, such as the specific addressing mode...
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According to the application of Superword Level Paralleism SLP auto-vectorization compiling system in digital Signal Processing(dSP), due to the specialized functions of dSP frame, such as the specific addressing model, a wide variety of registers, irregulardata branch, the obstacle of dependence relation to vectorization non-aligneddata or otherreasons, which resulted in the compiler can not support SIMd auto-vectorization with the feature of dSP. In order to solve this problem, the SLP auto-vectorization method was studied towards dSP frame. Based on the specialized functions of dSP frame, the instruction analysis and optimization algorithm in SLP auto-vectorization were improved, so as to transform more high-efficiency source program. The experimental results show that the optimization method of this paper has a tremendous role on improving dSP performances andreducing power consumption.
Current studies on complex networks are mainly concentrated on some specific properties of the complex network. In view of the lack of universal analysis model, a universal complex network model with limiteddegree is...
Current studies on complex networks are mainly concentrated on some specific properties of the complex network. In view of the lack of universal analysis model, a universal complex network model with limiteddegree is built from the common characteristics of complex network. The evolution role and calculation are described in detail, focusing on the analysis of typical characteristics of complex networks, such as the degree distribution, the average shortest path, clustering coefficient, and community distribution. Simulation proves the correctness of networking properties in complex network theory.
As the number of modules in system-on-Chip increases,the topology is more likely to suffer from excessive end-to-end hopcounts,causing an increase of power consumption and area *** this,a novel hierarchical topology c...
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As the number of modules in system-on-Chip increases,the topology is more likely to suffer from excessive end-to-end hopcounts,causing an increase of power consumption and area *** this,a novel hierarchical topology called CHMesh is proposed,which is based on mesh and ***,this article elaborates on a shortest deadlock-free CHXY routing algorithm which has a low *** results demonstrate that,compared with traditional mesh andref-mesh,the CHMesh can increase the average throughput by about 60% and 10% respectively under the nonuniform traffic patterns,presenting more advantages on large-scale NoC.
The role division on social networks is an important technology,for its potential values in analyzing social communities,exploring information dissemination rules and improving directional *** paper is focused on the ...
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ISBN:
(纸本)9781479932801
The role division on social networks is an important technology,for its potential values in analyzing social communities,exploring information dissemination rules and improving directional *** paper is focused on the research of role division from the perspective of information *** propose to measure users' secondary ability of information dissemination by weighting their neighborhoods' capability of information dissemination based on existing user characterization *** initial clustercenters in k-means are optimized by considering the characteristics of information sharing anddissemination on social ***,users are classified into three categories: ordinary users,bridge users and core *** results on Sina micro-blog dataset show that the proposed algorithm can betterdifferentiate users according to information dissemination.
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