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

作者： Yu Sun Yuefei Sui Institute of Computer Science and Information Technology Yunnan Normal University Kunming China Graduate School Chinese Academy and Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

A formal representation of ontologies is proposed, based on F-logic and O-logic; and the works in the building of ontologies in NKI. An ontology includes class frames, slot frames, class-slot frames, object frames and axioms. The value restrictions of slots are defined in slot frames. For each slot and each class, there is a class-slot frame representing the specific value restrictions of the slot when defining the class; and the relations between class-slot frames and slot frames are discussed. For a slot in a class frame, its values are inherited to its subclasses without blocking; and its default values are inherited to its subclasses taking overriding, revising and conflict resolution into account. After giving the formal representation of ontologies, the semantics of ontologies are discussed, and main results are presented.

关键词： Ontologies Databases Laboratories Intelligent structures information processing computer science information technology Vocabulary Logic

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High precision English base noun phrase identification based on "waterfall" model

High precision English base noun phrase identification based...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Ying-Hong Liang Tie-Jun Zhao Hao Yu Jian-Min Yao MOE-MS Key Laboratory of Natural Language Processing and Speech Harbin Institute of Technology Harbin China School of Information and Computer Engineering North East Forestry University Harbin China

Based on classical model that used by software exploitation in the subject of Software Engineering - waterfall model, a high precision model for English noun phrase identification is presented. In this model, three important features (interior structure, context information and boundary character) in base noun phrase identification are orderly used, and the relative method (the rule method, the transfer-based and error-driven method, and the boundary statistic method) are used from top to bottom. Thus the precision of base noun phrase identification improved steadily. The "waterfall" model combined the rule method and the statistical method so as to make them complement each other. The precision of base noun phrase identification achieves 98.10% and the F score is 95.25%. Compared to other method, our method achieves the highest precision and F score.

关键词： Statistical analysis Natural language processing Software engineering Probability Text processing Laboratories Speech processing Forestry Electronic mail Context modeling

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A multicast routing algorithm with multiple trees

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Journal of Systems Engineering and Electronics 2005年第2期000卷 426-432页

作者： Cui Xunxue Gao Wei Fang Hongyu New Star Research Institute of Applied Technology， Hefei 230031， P. R. China Jiangsu Key Laboratory of Computer Information Processing Technology，Soochow University， Suzhou 215006， P. R. China Department of Electronic Engineering and Information Science， University of Science and Technology of China， Hefei 230027， P. R. China School of Electronic Science and Technology， Anhui University， Hefei 230039， P. R. China

Quality of service (QoS) multicast routing has continued to be a very important research topic in the Internet.A method of multicast routing is proposed to simultaneously optimize several parameters based on multiobjective genetic algorithm, after the related work is reviewed. The contribution lies on that the selection process of such routing is treated with multiobjective optimization. Different quality criterions in IP network are taken into account for multicast communications. A set of routing trees is generated to approximate the Pareto front of multicast problem. Multiple trees can be selected from the final set of nondominated solutions, and applied to obtain a good overall link cost and balance traffic distribution according to some simulation results.

关键词： multicast routing quality of service multiobjective optimization genetic algorithms

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A region-based approach to conceptual image classification

A region-based approach to conceptual image classification

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IEE International Conference on Visual information Engineering (VIE 2005)

作者： Symeon Papadopoulos Vasileios Mezaris Ioannis Kompatsiaris Michael C. Strintzis Information Processing Laboratory Electrical and Computer Engineering Dept. Aristotle University of Thessaloniki Thessaloniki 54006 Greece Informatics and Telematics Institute/Centre for Research and Technology Hellas 1st Km Thermi-Panorama Rd Thessaloniki 57001 Greece Informatics and Telematics Institute/Centre for Research and Technology Hellas 1st Km Thermi-Panorama Rd Thessaloniki 57001 Greece

Classifying images into a set of semantic categories that are meaningful to humans has proved to be a challenging and attractive problem in the field of content-based retrieval. Addressing this problem is typically based on the initial extraction of low-level features for the images and the subsequent application of a pattern recognition technique, to divide the feature space in a number of subspaces corresponding to the semantic categories. An extension to this framework is presented in this paper, aiming at the improvement of the efficiency of image classification systems. This is based on the introduction of an unsupervised still image segmentation algorithm to the process and its combination with MPEG-7 low-level descriptors and a Bayes classifier. Experimental results using different pairs of classes and corresponding data sets demonstrate the efficiency of the proposed approach.

关键词： Image segmentation Face Training Feature extraction Classification algorithms Image color analysis Semantics

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Journal of information Science and Engineering: Editorial notice

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Journal of information Science and Engineering 2005年第5期21卷 i-ii页

作者： Lee, Der-Tsai Amato, Nancy M. Chang, Shih-Fu Chen, Homer H. Chen, Tsuhan Hsu, Tsan-Sheng Hwang, Jenq-Neng Kuo, Sy-Yen Kuo, Tei-Wei Li, Chung-Sheng Tokuyama, Takeshi Wing, Jeannette Wu, Tzong-Chen Yen, John Computer Science at Texas A and M University United States Parasol Laboratory United States IEEE Transactions on Parallel and Distributed Systems Computing Research Association's Committee on the Status of Women in Computing Research CRA-W's Distributed Mentor Program United States Department of Electrical Engineering Columbia University United States Lab. United States College of Electrical Engineering and Computer Science National Taiwan University Taiwan IEEE Transactions on Circuits and Systems for Video Technology IEEE Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States ACM ACM SIGACT IEEE Computer Society IICM Austria Research and Development of the Department Multimedia Signal Processing Technical Committee IEEE Signal Processing Society United States IEEE Transactions on Circuits and systems for Video Technology College of Electrical Engineering and Computer Science National Taiwan Ocean University Keelung Taiwan Department of Electrical Engineering National Taiwan University Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan IEEE Technical Committee on Real-Time Systems Computer Science Division IBM T.J. Watson Research Center United States IBM Research Division Graduate School of Information Sciences Tohoku University Japan ACM IPSJ Mathematical Society of Japan Japan Department of Computer Science Computer Science Department Carnegie Mellon University United States National Academies of Science's Computer Science and Telecommunications Board United States Microsoft's Trustworthy Academic Advisory Board Intel Research Pittsburgh's Advisory Board United States Dartmouth's Institute for Security Technology Studies Advisory Committee Canada Sloan Research Fellowships Program Committee United States ACM Taiwan China Information Sciences and Technology Pennsylvania State University United States Laboratory for Intelligent Agents Penn State's School of Info

No abstract available

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A computer-aided system for mass detection and classification in digitized mammograms

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Biomedical Engineering - Applications, Basis and Communications 2005年第5期17卷 215-228页

作者： Yang, Sheng-Chih Wang, Chuin-Mu Chung, Yi-Nung Hsu, Giu-Cheng Lee, San-Kan Chung, Pau-Choo Chang, Chein-I. Department of Electrical Engineering National Cheng Kung University Tainan Taiwan Department of Computer Science and Information Engineering National Chin Yi Institute of Technology Taichung Taiwan Department of Electrical Engineering Da-Yeh University Chunghua Taiwan Department of Radiology Tri-Service General Hospital National Defense Medical Center Taipei Taiwan Administrative Office Suao Veterans Hospital Yilan Taiwan Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore MD United States

This paper presents a computer-assisted diagnostic system for mass detection and classification, which performs mass detection on regions of interest followed by the benign-malignant classification on detected masses. In order for mass detection to be effective, a sequence of preprocessing steps are designed to enhance the intensity of a region of interest, remove the noise effects and locate suspicious masses using five texture features generated from the spatial gray level difference matrix (SGLDM) and fractal dimension. Finally, a probabilistic neural network (PNN) coupled with entropic thresholding techniques is developed for mass extraction. Since the shapes of masses are crucial in classification between benignancy and malignancy, four shape features are further generated and joined with the five features previously used in mass detection to be implemented in another PNN for mass classification. To evaluate our designed system a data set collected in the Taichung Veteran General Hospital, Taiwan, R.O.C. was used for performance evaluation. The results are encouraging and have shown promise of our system.

关键词： computer aided analysis

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A test-bed for region-based image retrieval using multiple segmentation algorithms and the MPEG-7 eXperimentation model: The schema reference system

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3rd International Conference on Image and Video Retrieval, CIVR 2004

作者： Mezaris, Vasileios Doulaverakis, Haralambos de Otalora, Raul Medina Beltran Herrmann, Stephan Kompatsiaris, Ioannis Strintzis, Michael G. Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki54124 Greece Thessaloniki57001 Greece Institute for Integrated Systems Munich University of Technology MunichD-80290 Germany

ISBN: (纸本)3540225390

The aim of the SCHEMA Network of Excellence is to bring together a critical mass of universities, research centers, industrial partners and end users, in order to design a reference system for contentbased semantic scene analysis, interpretation and understanding. In this paper, recent advances in the development of the SCHEMA reference system are reported, focusing on the application of region-based image retrieval using automatic segmentation. More specifically, the first and the second version of the reference system are presented and the motivation behind the different approaches followed during the development of these two versions is discussed. Experimental results for both systems, using a common collection of images, are shown. Additionally, a comparative evaluation of the two versions both in terms of retrieval accuracy and in terms of time-efficiency is performed, allowing the evaluation of the system as a whole as well as the evaluation of the usability of different components integrated with the reference system, such as the MPEG-7 eXperimentation Model. This illustrates the suitability of the SCHEMA reference system in serving as a test-bed for evaluating and comparing different algorithms and approaches pertaining to the content-based and semantic manipulation of visual information, ranging from segmentation algorithms to indexing features and methodologies. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Semantics

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

A Multi-layers Neural Network Model based on Characteristics...

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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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Integration of 2D and 3D images for enhanced face authentication

Integration of 2D and 3D images for enhanced face authentica...

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International Conference on Automatic Face and Gesture Recognition

作者： F. Tsalakanidou S. Malassiotis M.G. Strintzis Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece Informatics and Telematics Institute Centre for Research and Technology Hellas Thessaloniki Greece

This work presents a complete face authentication system integrating 2D intensity and 3D range data, based on a low-cost, real-time structured light sensor. Novel algorithms are proposed that exploit depth data to achieve robust face detection, localization and authentication under conditions of background clutter, occlusion, face pose alteration and harsh illumination. The well known embedded hidden Markov model technique for face authentication is applied to depth maps. A method for the enrichment of face databases with synthetically generated views depicting various head poses and illumination conditions is proposed. The performance of the proposed system is tested on an extensive face database of 3,000 images. Experimental results demonstrate significant gains resulting from the combined use of depth and intensity.

关键词： Authentication Face detection Lighting Image databases Real time systems Sensor systems Robustness Hidden Markov models Head System testing

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Exploitation of 3D images for face authentication under pose and illumination variations

Exploitation of 3D images for face authentication under pose...

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International Symposium on 3D Data processing Visualization and Transmission

作者： F. Tsalakanidou S. Malassiotis M.G. Strintzis Informatics and Telematics Institute Centre for Research and Technology Hellas Thessaloniki Greece Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece

An appearance-based face authentication system integrating 2D color or intensity images and 3D data is presented. The proposed system is based on a low-cost 3D and color sensor, capable of synchronous real-time acquisition of 3D images and associated color images. Novel algorithms are proposed that exploit depth information and prior knowledge of face geometry and symmetry to achieve robust face detection, localization and authentication under conditions of background clutter, occlusion, face pose alteration and harsh illumination. A method for the enrichment of face databases with synthetically generated views depicting variations in pose and illumination is proposed to cope with head rotations and illumination variations, avoiding a cumbersome enrolment process. The performance of the proposed authentication scheme is tested thoroughly on a face database of 1500 images, recorded with the 3D acquisition system. Experimental results demonstrate significant gains resulting from the combined use of depth and color or intensity information, in comparison to the use of 2D images alone.

关键词： Authentication Lighting Face detection Image databases Image sensors Sensor systems Real time systems Color information geometry Robustness

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