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15th ACM International Conference on Multimedia, MM'07

作者： Luan, Huan-Bo Neo, Shi-Yong Goh, Hai-Kiat Zhang, Yong-Dong Lin, Shou-Xun Chua, Tat-Seng Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Department of Computer Science National University of Singapore Singapore 117543 Singapore Key Laboratory of Intelligent Information Processing ICT CAS Beijing 100080 China Graduate School Chinese Academy of Sciences Beijing 100039 China

ISBN: (纸本)9781595937025

Existing video research incorporates the use of relevance feedback based on user-dependent interpretations to improve the retrieval results. In this paper, we segregate the process of relevance feedback into 2 distinct facets: (a) recall-directed feedback;and (b) precision-directed feedback. The recall-directed facet employs general features such as text and high level features (HLFs) to maximize efficiency and recall during feedback, making it very suitable for large corpuses. The precision-directed facet on the other hand uses many other multimodal features in an active learning environment for improved accuracy. Combined with a performance-based adaptive sampling strategy, this process continuously re-ranks a subset of instances as the user annotates. Experiments done using TRECVID 2006 dataset show that our approach is efficient and effective. Copyright 2007 ACM.

关键词： Video streaming

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A Cognitive Data Visualization Method Based on Hyper Surface

A Cognitive Data Visualization Method Based on Hyper Surface

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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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Direct clustering algorithm based on generalized information distance

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Jisuanji Yanjiu yu Fazhan/Computer Research and Development 2007年第4期44卷 674-679页

作者： Ding, Shifei Shi, Zhongzhi Jin, Fengxiang Xia, Shixiong College of Computer Science and Technology China University of Mining and Technology Xuzhou 221008 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China College of Geoinformation Science and Engineering Shandong University of Science and Technology Qingdao 266510 China

In this paper a novel direct clustering algorithm based on generalized information distance (GID) is put forward. Firstly, based on information theory, a basic concept of measure of diversity is given and an inequality about measure of diversity is proved. Based on this inequality, a concept of increment of diversity is discussed and a defined. Secondly, by analyzing distance measure, two new concepts of generalized information distance (GID) and improved generalized information distance (IGID) are proposed, and a new direct clustering algorithm based on GID and IGID is designed. Finally this algorithm is applied to soil fertility data processing, and compared with hierarchical clustering algorithm (HCA). The results of simulation application show that the algorithm presented here is feasible and effective. Because of simplicity of algorithm and robustness. It provides a new research approach for studies of pattern recognition theory.

关键词： Clustering algorithms

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Adaptive Spatial and Transform Domain FGS Coding

Adaptive Spatial and Transform Domain FGS Coding

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2007 IEEE International Conference on Multimedia and Expo (ICME 2007), vol.3

作者： Li Zhang Xiangyang Ji Wen Gao Debin Zhao Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Key Laboratory of Intelligent Information Processing Chinese Academy of Sciences Beijing China Peking University Beijing China Graduate School of the Chinese Academy of Sciences Beijing China

In inter-picture coding, block-based frequency transform is usually carried out on the predicted errors for each inter-block to remove the spatial correlation among them. However, it can not always do well since the predicted errors in some inter-blocks have marginal or diagonal correlation. A good solution is to omit transform operations for the predicted errors of those inter-blocks with low correlation before quantization operation. The same phenomenon also can be observed in Fine Grain Scalability (FGS) layer coding. In this paper, an adaptive prediction error coding method in spatial and frequency domain with lower complexity is considered for FGS layer coding. Transform operation is only needed when there are non-zero reconstructed coefficients in spatially co-located block in base layer. The experimental results show that compared with FGS coding in JSVM, higher coding efficiency can be achieved with lower computational complexity at decoder since inverse transform is no longer needed for those predicted errors coded in spatial domain at encoder.

关键词： FGS Adaptive spatial Frequency domain

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LDA-Based Retrieval Framework for Semantic News Video Retrieval

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

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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...

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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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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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