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A kind of dimension reduction method for classification based on hyper surface

A kind of dimension reduction method for classification base...

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Qing He Xiu-rong Zhao Zong-Zhi Shi The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

Based on Jordan curve theorem, a universal classification method based on hyper surface is recently put forward. The experiments show that the new method can efficiently and accurately classify large data size up to 10/sup 7/ in three-dimensional space. However, the number of training samples needed to design a classifier grows with the dimension of the features. So a way to reduce the dimension of the features without losing any essential information is needed. We put forward a kind of simple and efficient dimension reduction method without losing any essential information to improve the performance of classification based on hyper surface for high dimension data.

关键词： Data mining Pattern recognition Data analysis Feature extraction Helium Laboratories information processing Computers Electronic mail Space technology

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TRANSLATING ONTOLOGIES TO DEFAULT LOGIC

TRANSLATING ONTOLOGIES TO DEFAULT LOGIC

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IFIP TC12 WG12.5-Second IFIP Conference on Artificial Intelligence Applications and Innovations(AIAI2005)

作者： Yu Sun Yuefei Sui Key Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese Academy of Sciences Institute of Computer Science and Information Technology Yunnan Normal University

The translation of inheritance nets to default logic has been discussed by Etherington[9],Touretzky[10],*** and inheritance nets are similar in some aspects and based on methods of translating inheritance nets to default logic,a translation of ontologies to default logic with a priority order on defaults is ***,properties of an ontology and the revision of ontologies can be studied in terms of default *** are assumed to be trees under the subsumption relation between concepts and have deduction rules to infer what are not explicitly *** statements in ontologies are translated to facts of default theories of the ontologies and the default inheritance of properties are represented by normal defaults with a priority order on them due to the intuition that subclasses overriding *** an ontology with a tree structure,it is consistent if and only if the default theory of the ontology has a unique extension.

关键词： ontology default logic priority order extension

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Background suppression based-on wavelet transformation to detect infrared target

Background suppression based-on wavelet transformation to de...

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International Conference on Machine Learning and Cybernetics, ICMLC 2005

作者： Sun, Y.U.-Qiu Tian, Jin-Wen Liu, Jian School of Information and Mathematics Yangtze University Jingzhou 434023 China State Education Commission Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China State Education Commission Key Laboratory for Image Processing and Intelligent Control Dept. of Electronic Information and Enginery Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)078039092X

Target detection and location in infrared clutter background is very important to infrared search and track system. Especially for small target detection in infrared image in background of sea and sky, there are no geometric and structure character to use. When targets such as ship and naval vessel sailing at long distance, they always appear around the sea-level line, and it is mixed with cloud and sea-wave clutter. It is difficult to segment and locate precisely. Background suppression based-on wavelet transformation is proposed in the paper. Wavelet decomposition makes it possible to analyze a signal both in time and frequency domains. In the paper infrared sea and key background images are processed. For their SNR is low and background is complex, using wavelet transformation decomposes an original image and extract approximate feature to reconstruct an image, which mainly includes background information. A new image will be obtained using background image subtracted from original image. There are mainly target and noise points left in the new image. By setting proper threshold, the target can be detected perfectly. At last, experiment results are given and show the method is practical. © 2005 IEEE.

关键词： Pattern recognition

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Online infomax algorithm and its application to remove EEG artifacts

Online infomax algorithm and its application to remove EEG a...

引用

2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005

作者： Xiaopei, Wu Zhongfu, Ye Schoo1 of Information Science and Technology University of Science and Technology of China Hefei 230026 Anhui province China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 Anhui province China

ISBN: (纸本)0780387406

A online infomax algorithm is proposed in this paper. The performances and properties of this online algorithm is investigated in detail. To the problem of the artifacts removal in real life EEG signal, both the online-and batch infomax algorithm are applied and compared. The experiment results show that the online infomax algorithm proposed in this paper has the good performance both in artifacts removal and convergence in time-varying mixing system. © 2005 IEEE.

关键词： Algorithms

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The architecture and implementation of resource space model system

引用

4th International Conference on Grid and Cooperative computing - GCC 2005

作者： Shi, Peng Xing, Yunpeng Yao, Erlin Wang, Zhen Yuan, Kehua Zhang, Junsheng Wang, Jianzeng Guo, Fei Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China Graduate School Chinese Academy of Sciences Beijing China Hunan Knowledge Grid Lab Hunan University of Science and Technology Hunan China

ISBN: (纸本)3540305106

Resource Space Model (RSM) is a semantic model to manage and share heterogeneous resources on the Internet. This paper focuses on the general architecture, physical implementation and application of RSM. The RSM system adopts Client/Server mode for users to utilize resource spaces through the Internet. The resource spaces are designed based on domain knowledge and stored as XML files in the server. The tool 3DBrowser provides a friendly interface with three-dimensional scene to display resource spaces, locate and operate on resources. Based on the architecture and tools, a Dunhuang RSM system has been developed as a collaboration platform to organize and share the resources of Dunhuang Culture Grid. The system provides an efficient resource locating way based on the classification of resources and improves the efficiency of research. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Semantics

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Using fuzzy cognitive map to effectively classify e-documents and application

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4th International Conference on Grid and Cooperative computing - GCC 2005

作者： Wang, Jianzeng Xing, Yunpeng Shi, Peng Guo, Fei Wang, Zhen Yao, Erlin Yuan, Kehua Zhang, Junsheng Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Hunan Knowledge Grid Lab Hunan University of Science and Technology Hunan China Graduate School Chinese Academy of Sciences Beijing China

ISBN: (纸本)3540305106

In the current Web, e-document has been the most common vehicle for delivering and exchanging information. As the amount of e-documents has grown enormously, effective classification facilities are urgently needed to classify and query e-documents users want. In this paper, we propose a method to classify e-documents into a set of predefined categories based on Fuzzy Cognitive Map (FCM). The e-documents are collected from Internet by a metasearch engine. FCM has been employed to capture the semantic relationships between keywords of e-documents. Experiments with a set of local e-documents have proved that this approach has high performance and can help users getting the e-documents efficiently and effectively. The proposed method has been implemented and integrated into the Dunhuang Feitian System to manage and classify e-documents. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Electronic document exchange

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Pushing scientific documents by discovering interest in information flow within E-science knowledge grid

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4th International Conference on Grid and Cooperative computing - GCC 2005

作者： Ding, Lianhong Li, Xiang Xing, Yunpeng Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China Graduate School of Chinese Academy of Sciences 100080 Beijing China Hunan Knowledge Grid Lab. Hunan University of Science and Technology Hunan China

ISBN: (纸本)3540305106

The Knowledge Grid is an intelligent and sustainable Internet application environment that enables people and roles to effectively capture, publish, share and manage explicit knowledge resources. As an important function of the e-Science Knowledge Grid, this paper proposes an approach to effectively push scientific documents within research teams by detecting the social characteristics in self-organized network, discovering interest in information flow, and capturing dynamic changes of interests over time. The proposed approach can be used in any cooperative organizations. © Springer-Verlag Berlin Heidelberg 2005.

关键词： information analysis

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Collaborating semantic link network with resource space model

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4th International Conference on Grid and Cooperative computing - GCC 2005

作者： Xing, Yunpeng Liu, Jie Sun, Xiaoping Yao, Erlin Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Graduate School Chinese Academy of Sciences Beijing China Hunan Knowledge Grid Lab. Hunan University of Science and Technology Hunan China

ISBN: (纸本)3540305106

The Semantic Link Network model SLN and Resource Space Model RSM are semantic models proposed separately for effectively specifying and managing versatile resources across the Internet. Collaborating the relational semantics of SLN with the classification semantics of the RSM can support richer semantic modeling in applications. This paper introduces the Resource Class Hierarchies into the SLN and investigates to cooperatively model with the RSM. The proposed approach can be used as a normalized semantic overlay of the Knowledge Grid environment. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Mathematical models

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Hierarchical iterative and self-supervised method for concept-word acquisition from large-scale Chinese corpora

Hierarchical iterative and self-supervised method for concep...

引用

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

作者： Guogang Tian Cungen Cao Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

This paper proposes a hierarchical iterative and self-supervised method (HISS) to acquire concept words from a large-scale, un-segmented Chinese corpus. It has two levels of iteration: the EM-CLS algorithm and the Viterbi-C/S algorithm constitute the inner iteration for generating concept words, and the concept word validation constitutes the outer iteration together with the concept word generation. Through multiple iterations, it integrates the concept word generation and validation into a uniform acquisition process. In the process of acquisition, the HISS method can cope with the problem of over-segmentation, over-combination and data sparseness. The experimental result shows that the HISS method is valid for concept word acquisition that can simultaneously increase the precision and recall rate of concept word acquisition.

关键词： Iterative methods Large-scale systems Iterative algorithms Mutual information Data mining Context modeling Laboratories information processing Paper technology Knowledge acquisition

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The Knowledge Grid and Its Methodology

The Knowledge Grid and Its Methodology

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International Conference on Semantics, Knowledge and Grid (SKG)

作者： Hai Zhuge China Knowledge Grid Research Group Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

In the human, society, interconnection environment and systems methodology perspectives, this paper answers the following questions: What are the Knowledge Grid and its distinguished features? What are its methodology... 详细信息

关键词： Humans Social network services Environmental economics Biological system modeling Peer to peer computing Grid computing Man machine systems IP networks Semantic Web Knowledge management

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