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检索条件"机构=Key Lab. of Cloud Computing Technology"

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An efficient two-stage level set segmentation framework for overlapping plant leaf image

An efficient two-stage level set segmentation framework for ...

引用

8th International Conference on Intelligent computing technology, ICIC 2012

作者： Wang, Xiao-Feng Min, Hai Key Lab. of Network and Intelligent Information Processing Department of Computer Science and Technology Hefei University Hefei Anhui 230022 China Intelligent Computing Lab. Hefei Institute of Intelligent Machines Chinese Academy of Sciences P.O.Box 1130 Hefei Anhui 230031 China Department of Automation University of Science and Technology of China Hefei Anhui 230027 China

ISBN: (纸本)9783642315879

In this paper, an efficient two-stage segmentation framework was proposed to address the plant leaf image with overlapping phenomenon, which is built based on the leaf approximate symmetry and level set evolution theory. In the pre-segmentation stage, a straight line was manually set on the target leaf to approximate the principal leaf vein and the Local Chan-Vese (LCV) model was used on the global image region to help searching the so-called un-overlapping contour in target leaf. In the formal segmentation stage, the symmetry detection was performed based on the pre-defined approximated principal vein to obtain the narrow-band evolution region and the second initial contour. Next, the LCV model was once again used to find the complete target leaf contour in the narrow-band evolution region. Finally, experiments on some real leaf images with overlapping phenomenon have demonstrated the efficiency and robustness of the proposed segmentation framework. © 2012 Springer-Verlag.

关键词： Image segmentation

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PPLSA: Parallel probabilistic latent semantic analysis based on MapReduce

PPLSA: Parallel probabilistic latent semantic analysis based...

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7th IFIP International Conference on Intelligent Information Processing, IIP 2012

作者： Li, Ning Zhuang, Fuzhen He, Qing Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China Graduate University Chinese Academy of Sciences Beijing China Key Lab. of Machine Learning and Computational Intelligence College of Mathematics and Computer Science Hebei University Baoding China

ISBN: (纸本)9783642328909

PLSA(Probabilistic Latent Semantic Analysis) is a popular topic modeling technique for exploring document collections. Due to the increasing prevalence of large datasets, there is a need to improve the scalab.lity of computation in PLSA. In this paper, we propose a parallel PLSA algorithm called PPLSA to accommodate large corpus collections in the MapReduce framework. Our solution efficiently distributes computation and is relatively simple to implement. © 2012 IFIP International Federation for Information Processing.

关键词： MapReduce

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Virtual simulation of intelligent toy robot driven by the action sequence files

Virtual simulation of intelligent toy robot driven by the ac...

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2012 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2012

作者： Mo, Jianqing He, Hanwu Zhang, Hong Guangdong University of Technology Guangzhou China Top Key Discipline of Computer Software and Theory in Zhejiang Provincial Colleges Zhejiang Normal University Jinhua China High Performance Computing Key Lab. in Guangdong Province Guangzhou China Guangdong SouthChina Institute Industrial Design Dongguan China

ISBN: (纸本)9781467300865

To improve efficiency of action designing for intelligent toy robot, a visual action design environment is created. Compared with the text-based action designing software, it's intuitive, good usability. With this visual environment, action sequence is created and action sequence file is automatically generated. According to the data structure of action sequence and the document structure of action sequence files, an algorithm to analysis action sequence files is put forward. Then using Eon Studio as virtual simulation development platform, the analysis to complicated action sequence files and reappearance of virtual action are realized. © 2012 IEEE.

关键词： Toys

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Improving image distance metric learning by embedding semantic relations

Improving image distance metric learning by embedding semant...

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13th Pacific-Rim Conference on Multimedia, PCM 2012

作者： Wang, Fang Jiang, Shuqiang Herranz, Luis Huang, Qingming Key Lab. of Intell. Info. Process Chinese Academy of Sciences Beijing 100190 China Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Graduate University of Chinese Academy of Sciences Beijing 100049 China

ISBN: (纸本)9783642347771

Learning a proper distance metric is crucial for many computer vision and image classification applications. Neighborhood Components Analysis (NCA) is an effective distance metric learning method which maximizes the kNN leave-out-one score on the training data by considering visual similarity between images. However, only using visual similarity to learn image distances could not satisfactorily cope with the diversity and complexity of a large number of real images with many concepts. To overcome this problem, integrating concrete semantic relations of images into the distance metric learning procedure can be a useful solution. This can more accurately model the image similarities and better reflect the perception of human in the classification system. In this paper, we propose Semantic NCA (SNCA), a novel approach which integrates semantic similarity into NCA, where neighborhood relations between images in the training dataset are measured by both visual characteristics and their concept relations. We evaluated several semantic similarity measures based on the WordNet tree. Experimental results show that the proposed approach improves the performance compared to the traditional distance metric learning methods. © 2012 Springer-Verlag.

关键词： Image classification

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The structure of the sparse basis function in compressive sensing for fast analysis of wide-angle monostatic scattering problems

The structure of the sparse basis function in compressive se...

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2012 International Conference on Microwave and Millimeter Wave technology, ICMMT 2012

作者： Du, Hong-Mei Chen, Ming-Sheng Wu, Xian-Liang Key Lab. of Intelligent Computing and Signal Processing Anhui University Ministry of Education Hefei 230029 China Department of Physics and Electronic Engineering Hefei Normal University Hefei 230601 China University of Science and Technology of China Hefei 230026 China

ISBN: (纸本)9781467321839

In the theory of compressive sensing, the selection of the basis functions directly affects the sparse transformation, observation number and reconstruction accuracy. In this paper, we introduce the structure of three sparse basic functions, which are used to analyze the electromagnetic scattering problems over a wide incident angle by the method of moment and compressive sensing. According to the characteristics of the induced current of wide angle, the best basic function is selected. Compared with the DCT, the accuracy of the reconstruction for different shape object are improved and the observation number reduces about 50%. © 2012 IEEE.

关键词： Method of moments

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Reducing blocking artifacts in compressed images via transform-domain non-local coefficients estimation

Reducing blocking artifacts in compressed images via transfo...

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2012 13th IEEE International Conference on Multimedia and Expo, ICME 2012

作者： Zhang, Xinfeng Xiong, Ruiqin Ma, Siwei Gao, Wen Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Graduate University Chinese Academy of Sciences Beijing 100049 China Institute of Digital Media Peking University Beijing 100871 China

ISBN: (纸本)9781467316590

Block transform coding using discrete cosine transform is the most popular approach for image compression. However, many annoying blocking artifacts are generated due to coarse quantization on transform coefficients independently. This paper proposes an effective blocking artifacts reduction method by estimating the transform coefficients from their quantized version. In the proposed scheme, we estimate the transform coefficients based on an image statistic model and non-local similarity among blocks in transform domain. The parameters used in our proposed scheme are discussed and adaptively selected. Extensive experimental results show that our proposed method significantly reduces blocking artifacts and improves the subjective and the objective quality of block transform coded images. © 2012 IEEE.

关键词： Discrete cosine transforms

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Parallel implementation of apriori algorithm based on MapReduce

Parallel implementation of apriori algorithm based on MapRed...

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13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed computing, SNPD 2012

作者： Li, Ning Zeng, Li He, Qing Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Graduate University Chinese Academy of Sciences Beijing 100139 China Key Lab. of Machine Learning and Computational Intelligence College of Mathematics and Computer Science Hebei University Baoding 071002 Hebei China

ISBN: (纸本)9780769547619

Searching frequent patterns in transactional databases is considered as one of the most important data mining problems and Apriori is one of the typical algorithms for this task. Developing fast and efficient algorithms that can handle large volumes of data becomes a challenging task due to the large databases. In this paper, we implement a parallel Apriori algorithm based on MapReduce, which is a framework for processing huge datasets on certain kinds of distributable problems using a large number of computers (nodes). The experimental results demonstrate that the proposed algorithm can scale well and efficiently process large datasets on commodity hardware. © 2012 IEEE.

关键词： MapReduce

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A Dynamic Self-adapting Algorithm of Redundancy Parameter in TCP-NC

A Dynamic Self-adapting Algorithm of Redundancy Parameter in...

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2012 IEEE 14th International Conference on Communication technology

作者： Xudong Fan Hui Li Kai Pan Shenzhen Key Lab for Cloud Computing Technology and Application PKU

ISBN: (纸本)9781467321006

We propose a method of dynamically adjusting redundancy parameter,which can be applied in "Network Coding Meets TCP".It can help solve the packet losses in the TCP layer and be part of the new protocol in the future *** our scheme,we mainly introduce "time-cache" and "time-classification management algorithm" to the network coding layer of the *** analyzing the time difference between the acknowledgements given by the sink,we can give the right value of redundancy parameter using time-classification management algorithm,for choosing a right value of redundancy parameter is very important to mask losses from ***,we give the theoretical analyses of the algorithm and get the optimal solution of redundancy *** a result,network coding can perfectly meet TCP in the lossy links.

关键词： network coding TCP redundancy parameter lossy links

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Practical privacy for value-added applications in vehicular ad hoc networks 5th

引用

5th International Conference on Internet and Distributed computing Systems, IDCS 2012

作者： Zhang, Lei Wu, Qianhong Qin, Bo Domingo-Ferrer, Josep Shanghai Key Laboratory of Trustworthy Computing Software Engineering Institute East China Normal University Shanghai China UNESCO Chair in Data Privacy Dept. of Comp. Eng. and Maths Universitat Rovira i Virgili TarragonaCatalonia Spain Key Lab. of Aerospace Information Security and Trusted Computing Ministry of Education Wuhan University School of Computer China Department of Maths School of Science Xi’an University of Technology China

ISBN: (纸本)9783642348822

Advances in mobile networking and information processing technologies have triggered vehicular ad hoc networks (VANETs) for traffic safety and value-added applications. Most efforts have been made to address the security concerns while little work has been done to investigate security and privacy for value-added applications in VANETs. To fill this gap, we propose a value-added application, specifically, a security and privacy preserving location-based service (LBS) scheme for VANETs. For each LBS transaction, the scheme provides authentication, integrity and non-repudiation for both the service provider and the user. A user can obtain the service in an anonymous way and hence user privacy is well protected. However, a tracing procedure can be invoked to find malicious users, thereby efficiently preventing users from abusing the anonymity provided by the system. © Springer-Verlag Berlin Heidelberg 2012.

关键词： Location based services

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ICT: A System Combination for Chinese Semantic Dependency Parsing 12

ICT: A System Combination for Chinese Semantic Dependency Pa...

引用

Joint Conference on Lexical and Computational Semantics

作者： Hao Xiong Qun Liu Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing 100190 China

ISBN: (纸本)9781622765027;1622765028

The goal of semantic dependency parsing is to build dependency structure and lab.l semantic relation between a head and its modifier. To attain this goal, we concentrate on obtaining better dependency structure to predict better semantic relations, and propose a method to combine the results of three state-of-the-art dependency parsers. Unfortunately, we made a mistake when we generate the final output that results in a lower score of 56.31% in term of lab.led Attachment Score (LAS), reported by organizers. After giving golden testing set, we fix the bug and rerun the evaluation script, this time we obtain the score of 62.8% which is consistent with the results on developing set. We will report detailed experimental results with correct program as a comparison standard for further research.

关键词： System Combination Chinese Semantic Dependency Parsing dependency DEPENDENCE Semantics Parsing bugs information technology Information and communication technology International Criminal Tribunal

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