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The Third Asian Conference on Vision (ACV2004)

作者：危辉陆汝钤 Department of Computer Science Lab of Algorithm for Cognitive Model Brain Science Research Center Fudan University Shanghai 200433 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing 100080 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing 100080 China

Machine vision is an active branch of Artificial Intelligence. An important problem in this area is the balance among efficiency, accuracy and huge computing. The visual system of human can keep watchfulness to the perimeter of visual field while at same time their central attention is focused to the center of visual field for fine information processing. This mechanism of computing resource assignment could ease the demand for huge and complex hardware structure. Therefore designing computer model based on biological visual

关键词： A Multi-layers Neural Network Model based on Characteristics of Ganglions Receptive Fields in Retina and an Algorithm for Watchfulness-keeping Model

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Amplitude spectrum-based gait recognition

Amplitude spectrum-based gait recognition

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International Conference on Automatic Face and Gesture Recognition

作者： Guoying Zhao Rui Chen Guoyi Liu Hua Li 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

ISBN: (纸本)0769521223

Gait is a biometric feature and identification of people from gait captured on video that has become a challenging problem in computer vision. A recognition method based on amplitude spectrum (Fourier spectrum) of frequency domain is proposed. Fourier spectrum reflects the frequency feature of person's pose in the current frame. After getting the period and key poses through the whole sequence according to the height of centroid and the amplitude value in frequency domain, we extract 5D features from the sequence including four amplitude values corresponding to four key poses image and the proportion of body. Finally, three measures are applied to evaluate our algorithm. Experiments result on USF dataset show that our method is insensitive to many changes condition of background, lighting, clothing, walking speed, segment noise and so on. For we implement gait recognition according to the discriminant analysis, the result to some extent is robust to the variation of viewpoint and cloth and recognition rate is satisfying.

关键词： Biometrics Face recognition Image recognition Frequency domain analysis Clothing Legged locomotion Iris Fingerprint recognition Humans Surveillance

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An algebraic multi-class classification method

An algebraic multi-class classification method

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Qing He Zhen-Yan Liu Zhong-Zhi Shi The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China School of Software Beijing Institute of Tèchnology Beijing China

ISBN: (纸本)0780384032

An algebraic multi-class classification method AHSC, i.e., algebraic hyper surface classification, is proposed. The separating algebraic hyper surface of two-class data may be directly constructed by a single polynomial in theory, but it is too difficult to separate multi-class data by a single polynomial even though the polynomial is multivalued. AHSC can be used for classifying multi-class data by integrating a series of polynomial networks based on binary numbers, which are used for labeling the classes of samples. The problem that multi-class data cannot always be separated by a single polynomial is solved by AHSC. Moreover, using an adaptive method can choose the order of polynomial. The experimental results show that the new method can efficiently and accurately classify multi-class and high dimension data.

关键词： Polynomials Machine learning Error correction codes Mathematical model Neurons Vectors Helium information processing Computers Electronic mail

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MAGE: Multi-agent environment

MAGE: Multi-agent environment

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2003 International Conference on Computer Networks and Mobile computing, ICCNMC 2003

作者： Shi, Zhongzhi Zhang, Haijun Dong, Mingkai Zhao, Zhikung Sheng, Qiujian Jiang, Yuncheng Cheng, Yong Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences PO Box 2704 Beijing100080 China

ISBN: (纸本)0769520332

intelligent agent technology has been raised as the primary technology in the intelligent Internet and mobile computing. In this paper, MAGE (multi-agent environment) is introduced which is an environment for rapidly developing distributed, heterogeneous multi-agent systems. Agent model, agent architecture, MAGE platforms, comparison between MAGE and other multi-agent framework is presented in the paper. This paper illustrates two application systems, such as e-business, parallel Web spider. The MAGE is written in Java and is a powerful tool to construct multi-agent systems for Internet applications. © 2003 IEEE.

关键词： Computer architecture

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GHUNT:A SEMANTIC INDEXING SYSTEM BASED ON CONCEPT SPACE

GHUNT:A SEMANTIC INDEXING SYSTEM BASED ON CONCEPT SPACE

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2003 International Conference on Natural Language processing and Knowledge Engineering

作者： Qing He Ziyan Jia Jiayou Li Haijun Zhang Qingyong Li Zhongzhi Shi Key Laboratory of Intelligent Information Processing Institute of Computing Technology

How to get text information from this huge information space becomes an even important problem with rapid growth of the *** this paper,a semantic indexing system GHUNT based on concept space is proposed to solve the problem. Some new technologies are integrated in GHUNT to obtain good *** is an all-sided solution for information retrieval on Internet.

关键词： Semantic indexing Concept space

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A teamwork protocol for multi-agent system 6

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6th Pacific Rim International Workshop on Multi-Agents, PRIMA 2003

作者： Sheng, Qiu-Jian Zhao, Zhi-Kun Liu, Shao-Hui Shi, Zhong-Zhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704-28 Beijing 100080 China Graduate School of the Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783540204602

Teamwork is an effective way of cooperative problem solving in dynamic and unpredictable application contexts. The concept of joint intention is the key of teamwork. How various speech acts can be used to form, maintain and dissolve the joint intention is a significant problem need to be investigated. The paper makes an in-depth analysis of the insufficiency of FIPA ACL with which agents to form the required joint intention in teamwork. We distinguish joint-request between delegation-request and extend the FIPA ACL by defining a new joint-request act whose properties are discussed. Based on the defined joint-request, we propose a teamwork protocol, associated with its formal semantic description and demonstrate its application as well. The teamwork protocol presents an interaction pattern that differs from those of existing elementary request protocol, contract-net protocol and auction protocols within FIPA Interaction Protocol Specifications. The proposed protocol can facilitate design of interaction modules in multi-agent teamwork.

关键词： Multi agent systems

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Solving traveling salesman problems by genetic algorithms

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自然科学进展（英文版） 2003年第2期13卷 135-141页

作者： LIANG Yanchun GE Hongwei Zhou Chunguang LEE Heow Pueh LIN Wuzhong LIM Siak Piang LEE Kwok Hong College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Institute of High Performance Computing Singapore 117528 Singapore College of Mathematics Science Jilin University Changchun 130012 China College of Computer Science and Technology Jilin University Changchun 130012 China Institute of High Performance Computing Singapore 117528 Singapore Department of Mechanical Engineering National University of Singapore Singapore 119260 Singapore

The gene section ordering on solving traveling salesman problems is analyzed by numerical experiments. Some improved crossover operations are presented. Several combinations of genetic operations are examined and the functions of these operations are analyzed. The essentiality of the ordering of the gene section and the significance of the evolutionary inversion operation are discussed. Some results and conclusions are obtained and given, which provide useful information for the implementation of the genetic operations for solving the traveling salesman problem.

关键词： genetic algorithms traveling salesman problem gene section evolutionary inversion genetic operations

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Grunt: a semantic indexing system based on concept space

Grunt: a semantic indexing system based on concept space

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IEEE International Conference on Natural Language processing and Knowledge Engineering (NLP-KE)

作者： Qing He Ziyan Jia Jiayou Li Haijun Zhang Qingyong Li Zhongzhi Shi Institute of Computing Technology Key Laboratory of Intelligent Information Processing Chinese Academy and Sciences Beijing China

ISBN: (纸本)0780379020

How to get text information from this huge information space becomes a more important problem with the rapid growth of the Internet. A semantic indexing system GHUNT based on concept space is proposed to solve the problem. Some new technologies are integrated in GHUNT to obtain good performance. GHUNT is an all-sided solution for information retrieval on the Internet.

关键词： Indexing Space technology Frequency information retrieval Internet Databases Helium Laboratories information processing Computers

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Representation and evaluation of hierarchical knowledge in formal ontologies

Representation and evaluation of hierarchical knowledge in f...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Chun-Xia Zhang Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

ISBN: (纸本)0780378652

Ontological engineering methodologies have focused on the management of the whole ontology development process. However, there is a corresponding need to provide ideas and guidelines to represent and evaluate the knowledge, especially, the hierarchical knowledge. In this paper, we propose building principles of hierarchical knowledge, and identify different types of relations between categories (same relation, proper including relation, intersectional relation, compatible and parallel relation, disparate relation, contradicted relation, and opposite relation), and presents an approach to evaluate the correctness of hierarchical knowledge based on different types of attributes of categories. We also address an application of this approach to building and evaluating the hierarchical knowledge of archaeological domain.

关键词： Ontologies Engineering management Guidelines Buildings Humans Laboratories information processing Computers Technology management Knowledge engineering

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Perspectives on cognitive informatics

Perspectives on cognitive informatics

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IEEE International Conference on Cognitive Informatics

作者： Zhongzhi Shi Jun Shi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

ISBN: (纸本)0769519865

From a scientific perspective explaining how the brain thinks is a big goal. Cognitive informatics studies intelligent behavior from a computational point of view in terms of updated research efforts and processes of brain science and neuroscience. Cognitive informatics is the interdisciplinary study of cognition. Cognition includes mental states and processes, such as thinking, reasoning, remembering, language understanding and generation, visual and auditory perception, learning, consciousness, emotions, etc. In this paper we will point out basic research topics of learning, memory, thought, language, and neural computing which are active fields related to cognitive informatics.

关键词： Cognitive informatics Cognition information processing Humans Learning Cognitive science Neurons Neuroscience intelligent sensors Data structures

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