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检索条件"任意字段=Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition"

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Towards Efficient Query Processing on Massive Time-Evolving Graphs

Towards Efficient Query Processing on Massive Time-Evolving ...

引用

8th IEEE international conference on Collaborative computing: Networking, Applications and Worksharing (CollaborateCom)

作者： Fard, Arash Abdolrashidi, Amir Ramaswamy, Lakshmish Miller, John A. Univ Georgia Dept Comp Sci Athens GA 30602 USA

ISBN: (纸本)9781467327404;9781467327404

Time evolving graph (TEG) is increasingly being used as a paradigm for modeling and analyzing dynamic relationships in many emerging domains such as online social networks, World Wide Web and evolutionary genomics. A time-evolving graph consists of a sequence of snapshots of the graph as it evolves over time. the ability to scalably process various types of queries on massive TEGs is central to building powerful analytic applications for these domains. Unfortunately, indexing techniques and cluster computing schemes that have been designed for static graphs are not very effective for processing massive TEGs. Towards designing scalable mechanisms for answering TEG queries, this paper studies three important problems. the first is the distribution of TEG data on the nodes of a cluster computing framework such as Pregel or Giraph so that the computing and communication resources of the cluster are effectively harnessed. the second is the answering of reachability queries on any snapshot of a TEG and the third is that of processing pattern matching queries in TEGs. For each problem, we provide a brief literature survey and explain why trivial extensions of static graph techniques are not adequate for TEGs. We also present our preliminary ideas towards addressing these problems and discuss their benefits.

关键词： time-evolving graphs big-data partitioning reachability pattern matching

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pattern analysis for load forecasting

Pattern analysis for load forecasting

引用

2012 8th international conference on computing Technology and Information Management, ICCM 2012

作者： Xia, YingJu Yang, YuHang Ge, Fujiang Su, Jian Yu, Hao Fujitsu Research and Development Center Co. Ltd. 13F Tower A Ocean International Center No.56 Dong Si Huan Zhong Rd Chaoyang District Beijing 100025 China

ISBN: (纸本)9788988678671

Short term load forecasting is an essential part of electric power system planning and operation. Effective load forecasting is difficult due to the complicated effects on load by variety of factors. this paper presents a novel forecasting method that combining the pattern analysis of different factors. A pattern analysis method which exploits features of peaks and valleys on curves instead of directly comparing values is proposed in this study. the approach proposed in this paper not only performs load pattern clustering, but also extract typical pattern for the load forecasting. the experimental results have shown that this method provides accurate predictions. © 2012 AICIT.

关键词： Electric power plant loads

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Bayesian approach to the concept drift in the pattern recognition problems

Bayesian approach to the concept drift in the pattern recogn...

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8th international conference on Machine Learning and Data Mining in pattern recognition, MLDM 2012

作者： Turkov, Pavel Krasotkina, Olga Mottl, Vadim Tula State University 92 Lenina Ave. Tula 300600 Russia Computing Center Russian Academy of Science 40 Vavilov St. Moscow 119333 Russia

ISBN: (纸本)9783642315367

We can face with the pattern recognition problems where the influence of hidden context leads to more or less radical changes in the target concept. this paper proposes the mathematical and algorithmic framework for the concept drift in the pattern recognition problems. the probabilistic basis described in this paper is based on the Bayesian approach to the estimation of decision rule parameters. the pattern recognition procedure derived from this approach uses the general principle of the dynamic programming and has linear computational complexity in contrast to polynomial computational complexity in general kind of pattern recognition procedure. © 2012 Springer-Verlag.

关键词： Computational complexity

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Parallelization and Optimization of Molecular Dynamics Simulation on Many Integrated Core

Parallelization and Optimization of Molecular Dynamics Simul...

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8th international conference on Computational Intelligence and Security (CIS)

作者： Yin, Qian Luo, Ruiyi Guo, Ping Beijing Normal Univ Image Proc & Pattern Recognit Lab Beijing 100875 Peoples R China

ISBN: (纸本)9780769548968;9781467347259

Molecular dynamics (MD) simulations are useful in various areas. In this paper, we parallelize and optimize the grid-based MD algorithm on Many Integrated Core (MIC) Architecture. To get full play of the hardware and accelerate computation of MD simulation, we design the parallel structure using multi-threads with OpenMP. Also, various or method such as Array Notification, intrinsic and so on are used to vectorize the application according to the character of MIC for a higher performance. Due that multi-core is also a trendy of CPU and High Performance computing, our method can be followed by other similar applications and provide a more choice.

关键词： Molecular Dynamics Many Integrated Core parallel multi-threads vectorlization

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A novel pattern of distributed low-rate denial of service attack disrupts internet routing

A novel pattern of distributed low-rate denial of service at...

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2012 8th international conference on computing Technology and Information Management, ICCM 2012

作者： Liu, Xiao-Ming Li, Qi Liu, Xiao-Guang Information Security Center Beijing University of Posts and Telecommunications Beijing China Information Engineering School Communication University of China Beijing China

ISBN: (纸本)9788988678671

Recently identified low-rate TCP-targeted DoS attacks can cause failures of Border Gateway Protocol sessions and route flappings without being detected by current defense mechanisms. Deliberately constructed Distributed low-rate DoS attacks can even generate surge of updates throughout the Internet. As this new breed of attacks needs a low-rate time gap between adjacent pulses, this time gap waste large number pulses to form other attack flows. In this paper, we investigate the possibility and methods of employing the time gap to evoke other attack flows against target network. Simulations show that this method can exponentially reduce the number of nodes and therefore lower the cost of the attack when attacking multiple BGP sessions simultaneously. Experiments show that the integrated attack is efficient in causing BGP session resets, delayed routing convergence and seriously impacting routing stability and network reachability. We also proposed the attack scheme and defense mechanisms of this kind of attacks. © 2012 AICIT.

关键词： Denial-of-service attack

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A Robust Instance-based Video Search Method By Re-ranking for Multiple Visual Codebooks

A Robust Instance-based Video Search Method By Re-ranking fo...

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8th international conference on Computational Intelligence and Security (CIS)

作者： Wang, Wen Zhao, Zhicheng Beijing Univ Posts & Telecommun Multimedia Commun & Pattern Recognit Labs Beijing 100088 Peoples R China

ISBN: (纸本)9780769548968;9781467347259

With the development of Internet and computer technology, the digital videos increase explosively, so how to get the interesting video clips from the massive video dataset quickly and efficiently has become an urgent problem in the field of information retrieval (IR). In this paper, a new Instance-based video search (INS) engine is proposed to solve the urgent problem. Firstly, video key-frames are extracted and grouped from queries and video dataset. Secondly, robust low-level visual features are extracted and projected to multiple visual codebooks. Finally, after similarity computing and feature fusion, a re-ranking scheme is implemented to vote the final search results. the proposed framework was evaluated at TRECVID 2011 on instance search task(INS), and achieved the 2nd place among 47 participants around the world, which indicated the effectiveness of our system.

关键词： Instance-based search (INS) feature fusion and re-ranking visual codebook

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Fast Multiple Scattering in Participating Media with Beamlet Decomposition

Fast Multiple Scattering in Participating Media with Beamlet...

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8th international conference on Computational Intelligence and Security (CIS)

作者： Wang, Yuanlong Guo, Ping Beijing Normal Univ Image Proc & Pattern Recognit Lab Beijing 100875 Peoples R China

ISBN: (纸本)9780769548968;9781467347259

We propose a fast algorithm which is based on the beamlet decomposition for real-time rendering of scenes in participating media with multiple scattering. Firstly, the light source radiation is considered as composed by all particles in the media and each particle radiation is decomposed along different forward directions using the plane decomposition method. then the multiple scattering radiation of one particle is calculated by the decomposition radiations from its adjacent particles and the light source. Finally, according to the multiple scattering radiation value of each particle, the radiation of the ray which is from viewpoint is calculated using ray marching method, which can be implemented on the graphics processing unit (GPU), and rendering process is highly parallel. the experimental results show that the algorithm can achieve real-time rendering efficiency and enhance the practicality of multiple scattering.

关键词： Participating media Ray tracing Parallel computing Multiple scattering Beamlet decomposition

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Method of 3D mesh reconstruction from point cloud using elementary vector and geometry analysis

Method of 3D mesh reconstruction from point cloud using elem...

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8th international conference on Information Science and Digital Content Technology, ICIDT 2012

作者： Wongwaen, N. Tiendee, S. Sinthanayothin, C. Image Technology Lab. National Electronics and Computer Technology Center Pathumthani Thailand Department of Computing Faculty of Liberal Arts and Sciences Kasetsart University Nakhon Pathom Thailand

ISBN: (纸本)9788988678695

the method of three dimensional mesh reconstruction is used to supplementing the 3D reconstruction or 3D scanning method, which only provide with point cloud in 3D model. However, the 3D models in mesh mode illustrate clearer appearance and can be used to obtain more information. In addition, the 3D reconstruction has been previously developed by employing the digital fringe pattern projection where the output was formed in the point cloud. therefore, this paper presents the computerized algorithms to construct the 3D mesh from the point cloud. the algorithm can be done by firstly dividing the point cloud into small volume for parallel calculation. Next, the points in each small volume are connected, which becomes the submesh and then integrated them together. the submesh in each small volume is produced by creating the initial triangle and then expanding triangular construction continually from each side (base) which has been previously generated. the expanded triangles must be satisfied some certain constrains. the point cloud which is filtered from the STL file format was tested using proposed method. the mesh reconstruction is shown with reasonable result. © 2012 AICIT.

关键词： Surface reconstruction

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Constructing target concept in multiple instance learning using maximum partial entropy

Constructing target concept in multiple instance learning us...

引用

8th international conference on Machine Learning and Data Mining in pattern recognition, MLDM 2012

作者： Xu, Tao Chiu, David Gondra, Iker School of Computer Science University of Guelph ON Canada Mathematics Statistics Computer Science St. Francis Xavier University NS Canada

ISBN: (纸本)9783642315367

Multiple instance learning, when instances are grouped into bags, concerns learning of a target concept from the bags without reference to their instances. In this paper, we advance the problem with a novel method based on computing the partial entropy involving only the positive bags using a partial probability scheme in the attribute subspace. the evaluation highlights what could be obtained if information only from the positive bags is used, while the contributions from the negative bags are identified. the proposed method attempts to relax the dependency on the distribution of the whole probability of training data, but focus only on the selected subspace. Experimental evaluation explores the effectiveness of using maximum partial entropy in evaluating the merits between the positive and negative bags in the learning. © 2012 Springer-Verlag.

关键词： pattern recognition

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An Efficient Multi-scale Overlapped Block LBP Approach for Leaf Image recognition

An Efficient Multi-scale Overlapped Block LBP Approach for L...

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8th international conference on Intelligent computing (ICIC)

作者： Ren, Xiao-Ming Wang, Xiao-Feng Zhao, Yang Chinese Acad Sci Hefei Inst Intelligent Machines Intelligent Comp Lab POB 1130 Hefei 230031 Anhui Peoples R China Univ Sci & Technol China Dept Automat Hefei 230027 Anhui Peoples R China Hefei Univ Key Lab Network & Intelligent Informat Proc Hefei 230601 Anhui Peoples R China

ISBN: (纸本)9783642315756;9783642315763

In this paper, an effective method based on multi-scale overlapped block LBP is proposed for plant leaf image recognition. Firstly, multi-scale pyramid is employed in order to improve the leaf data utilization. For each scale, each training image is divided into several equal overlapping blocks to extract the LBP histograms. then, the PCA method is used for LBP feature dimension reduction. Finally, the recognition experiments are performed by using the SVM classifier. We compare the proposed method with Histogram of Oriented Gradients (HOG) method and Inner-Distance Shape Context (IDSC) method on Swedish leaf dataset and our ICL leaf dataset. the experimental results show that the proposed method achieves better performance than IDSC and HOG.

关键词： Leaf recognition Local Binary pattern Multi-Scale pyramid Principal Component Analysis

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