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检索条件"机构=Key Laboratory of Intelligent Computing and Distributed Information Processing"

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A Cognitive Data Visualization Method Based on Hyper Surface

A Cognitive Data Visualization Method Based on Hyper Surface

引用

IEEE International Conference on Cognitive Informatics

作者： Qing He Xiurong Zhao Zhongzhi Shi The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Chinese Academy of Sciences Beijing China

The understanding of data is highly relevant to how one senses and perceives them. The existing approaches for classification have been developed mainly based on exploring the intrinsic structure of dataset itself less or no emphasis paid on simulating human visual cognition. A new hyper surface classification method (HSC) has been studied since 2002. HSC is a universal classification method, in which a model of hyper surface is obtained by adoptively dividing the sample space and then the hyper surface is directly used to classify large database based on Jordan curve theorem in topology. In this paper we point out that HSC is a cognitive data visualization method. Simulation results show the effectiveness of the proposed method on large test data with complex distribution and high density. In particular, we show that HSC can very often bring a significant reduction of computation effort without loss of prediction capability.

关键词： Data visualization Humans Cognition Business process re-engineering Helium Topology Classification algorithms Partitioning algorithms Pattern recognition Laboratories

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LDA-Based Retrieval Framework for Semantic News Video Retrieval

LDA-Based Retrieval Framework for Semantic News Video Retrie...

引用

International Conference on Semantic computing

作者： Juan Cao Jintao Li Yongdong Zhang Sheng Tang Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Graduate University of the Chinese Academy of Sciences Beijing China

Topic-based language model has attracted much attention as the propounding of semantic retrieval in recent years. Especially for the ASR text with errors, the topic representation is more reasonable than the exact term representation. Among these models, Latent Dirichlet Allocation(LDA) has been noted for its ability to discover the latent topic structure, and is broadly applied in many text-related tasks. But up to now its application in information retrieval(IR) is still limited to be a supplement to the standard document models, and furthermore, it has been pointed out that directly employing the basic LDA model will hurt retrieval performance. In this paper, we propose a lexicon-guided two-level LDA retrieval framework. It uses the HowNet to guide the first-level LDA model's parameter estimation, and further construct the second-level LDA models based on the first-level's inference results. We use TRECID 2005 ASR collection to evaluate it, and compare it with the vector space model(VSM) and latent semantic Indexing(LSI). Our experiments show the proposed method is very competitive.

关键词： Linear discriminant analysis Automatic speech recognition information retrieval Large scale integration Space technology Videoconference Laboratories information processing Computers Natural languages

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Notice of Retraction: Geometrical Issues for Representing Protein Structure

Notice of Retraction: Geometrical Issues for Representing Pr...

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International Conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Jianhui Liu Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Department of Basic Science Beijing University of Agriculture Beijing China

This article has been retracted by the publisher.

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A New Multi-objective Fully-Informed Particle Swarm Algorithm for Flexible Job-Shop Scheduling Problems

A New Multi-objective Fully-Informed Particle Swarm Algorith...

引用

International Conference on Computational Intelligence and Security Workshops (CISW)

作者： Zhao-hong Jia Hua-ping Chen Jun Tang Department of Information Management and Decision Science University of Science and Technology Hefei China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

A novel Pareto-based multi-objective fully-informed particle swarm algorithm (FIPS) is proposed to solve flexible job-shop problems in this paper. Firstly, the population is ranked based on Pareto optimal concept. And the neighborhood topology used in FIPS is based on the Pareto rank. Secondly, the crowding distance of individuals is computed in the same Pareto level for the secondary rank. Thirdly, addressing the problem of trapping into the local optimal, the mutation operators based on the coding mechanism are introduced into our algorithm. Finally, the performance of the proposed algorithm is demonstrated by applying it to several benchmark instances and comparing the experimental results.

关键词： Particle swarm optimization Scheduling algorithm Computational intelligence Topology Genetic mutations Ground penetrating radar information security Processor scheduling information management Competitive intelligence

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A Dynamic Description Logic Approach to Extended RBAC Model

A Dynamic Description Logic Approach to Extended RBAC Model

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International Conference on Future Generation Communication and Networking (FGCN)

作者： Li Ma Shilong Ma Yuefei Sui Department of Computer Science Beijing Aeronautics and Astronautics University Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

ISBN: (纸本)9780769530482;0769530486

Traditional RBAC model describes a static access control policy. As the development of network application, such as Web services, access control faces many new challenges, one of which is that access control policies need to protect not only static resources but also dynamic ones that are encapsulated in a service. In order to capture the flexibility of application, we specify a fine-grained control on individual users by introducing user attributes which are associated to user's role and permission. We take the service as an action that changes some of user's attributes so as to adjust users' permission at run. In order to represent and reason on the access control automatically, we use the description logics combined with prepositional dynamic logic as a logic framework to construct a knowledge base for the access control and action rules, and semantically explain how a user's permission can be changed at runtime.

关键词： Access control Permission Aerodynamics Automatic logic units Protection Qualifications Computer science Laboratories information processing Application software

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Agent Grid Based Enterprise Application Integration

Agent Grid Based Enterprise Application Integration

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International Conference on Natural Computation (ICNC)

作者： Maoguang Wang Zhongzhi Shi Li Zheng Fen Lin Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Graduate University of Chinese Academy of Sciences Beijing China School of Computer Science and Technology China University of Mining and Technology Xuzhou China Key Laboratory of Intelligent Information Processing Chinese Academy of Sciences Beijing China Chinese Academy of Sciences China Graduate University of CAS China

Due to the increasing software complexity, how to integrate the legacy data resources and systems is a big challenge for the enterprise. This paper makes full use of agent technologies to establish an agent grid intelligent platform for enterprise heterogeneous system integration. The agent grid intelligent platform adopts a hierarchical integration model and middleware to provide efficient integration capability for different application systems. Finally, this paper introduces the grid based city emergency interaction system to illustrate the AGrIP practical system integration.

关键词： intelligent agent Application software Middleware Collaborative work Collaboration Connectors Computer science Laboratories information processing Cities and towns

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Measuring Learning Difficulty Level by Comparing Ontologies

Measuring Learning Difficulty Level by Comparing Ontologies

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Dehai Zhang Yao Zhu The School of Software Yunnan University Kunming China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Chinese Academy of Sciences Graduate University Beijing China

It is a common practice that learners (human beings or intelligent agent) estimate the difficulty level of their learning tasks. In this paper, we present an ontology comparison based method to measure the difficulty level by comparing target knowledge the learner wants to learn and the knowledge the learner already has. Our method proposes a set of measures that compare the differences of ontologies from two perspectives, the structural and the conceptual. Based on the result of comparing two ontologies, we defined the learning difficulty formally, and gave an algorithm to compute it.

关键词： Ontologies intelligent agent Humans Birds Laboratories information processing Computers Knowledge representation Software measurement Electronic learning

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Monocular Tracking 3D People By Gaussian Process Spatio-Temporal Variable Model

Monocular Tracking 3D People By Gaussian Process Spatio-Temp...

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IEEE International Conference on Image processing

作者： Junbiao Pang Laiyun Qing Qingming Huang Shuqiang Jiang Wen Gao Graduate School of Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Institute of Digital Media Peking University Beijing China

Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temporal variable model (GPSTVM), a novel dynamical system modeling method is proposed for learning human pose and motion priors. The GPSTVM provides a low dimensional embedding of human motion data, with a smooth density function that provides higher probability to the poses and motions close to the training data. The low dimensional latent space is optimized directly to retain the spatio-temporal structure of the high dimensional pose space. After the prior on human pose is learned, the particle filtering can be used tracking articulated human pose; particle filtering propagates over time in the embedding space, avoiding the curse of dimensionality. Experiments demonstrate that our approach tracks 3D people accurately.

关键词： Gaussian processes Humans Filtering Tracking Predictive models information processing Computers Data models Modeling Density functional theory

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distributed Application Integration Based on Agent Grid intelligent Platform

Distributed Application Integration Based on Agent Grid Inte...

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International Conference on Innovative computing, information and Control (ICICIC)

作者： Maoguang Wang Zhongzhi Shi Jiewen Luo Li Zeng Graduate School of Chinese Academy of Sciences Beijing China School of Computer Science and Technology China University of Mining and Technology Xuzhou China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

Due to the existence of a large amount of legacy information systems, how to obtain the information and integrate the legacy systems is becoming more and more concerned. This paper introduces the integration pattern based on agent grid. And we propose an agent grid intelligent platform called AGrIP, which can erase information islands and integrate external systems efficiently by encapsulating the distributed application system to agents. AGrIP adopts distributed hierarchical structure, which is capable of integrating external systems to provide the users various services dynamically. AGrIP has proved itself scalable and efficient during the industry projects development and application.

关键词： intelligent agent Application software Collaboration information systems Software libraries Connectors Computer science Laboratories information processing Testing

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3D Model Retrieval Based on V System Rotation Invariant Moments

3D Model Retrieval Based on V System Rotation Invariant Mome...

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International Conference on Natural Computation (ICNC)

作者： Zongmin Li Xiuping Men Yujie Liu Hua Li Department of Computer Science University of North Carolina Charlotte NC USA School Of Computer Science And Communication Engineering China University of Petroleum Shandong China Key Laboratory Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

This paper proposes a novel methodology based on V-system polynomials for content-based search and retrieval of 3D objects. The V-system is composed by piecewise polynomials, and is capable of exactly describing the geometric information expressed by the popularly and widely used spline curves and surface. We define rotation invariant moments-v-system moment by combining V-system polynomials with spherical harmonics. After preprocessing for translation and scale invariance, the spherical extension is used as input for V-system moments and the values of obtained coefficients are considered as components of the feature vector. We evaluate on the Princeton Shape Benchmark, the proposed descriptors regarding computational aspects and shape retrieval performance. The-performance of the proposed method is compared to some previous approaches by means of precision/recall tests. Generally, results show that the new approach introduces improvements in the SD model retrieval process.

关键词： Shape Content based retrieval Image retrieval Polynomials information retrieval Solid modeling Computer science Feature extraction Noise robustness Petroleum

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