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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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TP model transformation based stabilization of a 3-DOF RC helicopter

TP model transformation based stabilization of a 3-DOF RC he...

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5th International Conference on Control and Automation, ICCA'05

作者： Baranyi, Péter Tanaka, Kazuo Korondi, Péter Computer and Automation Re Search Institute Hungarian Academy of Sciences Kende u. 13-17 H-1111 Budapest Hungary Integrated Intelligent Systems Japanese-Hungarian Laboratory Muegyetem rakpart 3 H-1111 Budapest Hungary Dept. Telecommunication and Media Informatics Budapest University of Technology and Economics Magyar tudsok kit. 2 Budapest H-1117 Hungary Department of Mechanical Engineering and Intelligent Systems University of Electro-Communications Tokyo 182-8585 Japan

ISBN: (纸本)0780391381

This paper investigates the effectiveness of a recently proposed numerical control design methodology in the stabilization control design of a 3-DOF RC helicopter. This control methodology is the combination of the TP (Tensor Product) model transformation and the PDC (Parallel Distributed Compensation) framework. First we recall the nonlinear model of the RC helicopter, then we execute the TP model transformation on the simplified model to yield its TP model (or Takagi-Sugeno fuzzy model) representation, with specific characteristics, whereupon the PDC framework can immediately be applied. Beyond the stabilization we take into account practical performance considerations in terms of good speed of response and small control effort to avoid actuator saturations. Simulation results are included to validate the control design. It will be pointed out that the resulting controller is equivalent with the one successfully applied in the real control experiment of the helicopter presented in a recent paper. © 2005 IEEE.

关键词： Control theory

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Motion control for humanoid robots based on the motion phase decision tree learning

Motion control for humanoid robots based on the motion phase...

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2004 International Symposium on Micro-NanoMecahtronics and Human Science, MHS2004;The Fourth Symposium 'Micro-NanoMechatronics for and Information-Based Society' The 21st Century COE Program, Nagoya University, Micro-Nano COE

作者： Kuwayama, Kiyotake Kato, Shohei Kunitachi, Tsutomu Itoh, Hidenori Dept. of Intelligence and Computer Science Nagoya Institute of Technology Dept. of Computer Science and Art School of Informatics Daido Institute of Technology

ISBN: (纸本)0780386078

Humanoid robots, due to their link structure with high degree of freedom and the substitutability for human work, require a sophisticated motion control technique regardless of the type of motions or the environments. This paper gives a concept learning-based approach to this problem. We propose a motion generation method based on decision tree learning with motion phase. The system can generate a stable and anti-tumble motion which transforms the robot into a target posture. In experiment, the target motion are to stand up from a chair. Some stable and anti-tumble motions to stand up from a chair were performed by humanoid robot HOAP-1. In this paper, we discuss the validity of motion control considering motion phase. © 2004 IEEE.

关键词： Robots

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A quantitative and qualitative analysis of blocking in association rule hiding

A quantitative and qualitative analysis of blocking in assoc...

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WPES'04: Proceedings of the 2004 ACM Workshop on Privacy in the Electronic Society

作者： Pontikakis, Emmanuel D. Tsitsonis, Achilleas A. Verykios, Vassilios S. Theodoridis, Yannis Chang, Liwu Dept. of Computer Engineering and Informatics University of Patras Research and Academic Computer Technology Institute Athens Greece Dept. of Computer and Comm. Engineering University of Thessaly Research and Academic Computer Technology Institute Athens Greece Dept. of Informatics University of Piraeus Piraeus Research and Academic Computer Technology Institute Athens Greece Naval Research Laboratory Washington DC United States

ISBN: (纸本)1581139683

Data mining provides the opportunity to extract useful information from large databases. Various techniques have been proposed in this context in order to extract this information in the most efficient way. However, efficiency is not our only concern in this study. The security and privacy issues over the extracted knowledge must be seriously considered as well. By taking this into consideration, we study the procedure of hiding sensitive association rules in binary data sets by blocking some data values and we present an algorithm for solving this problem. We also provide a fuzzification of the support and the confidence of an association rule in order to accommodate for the existence of blocked/unknown values. In addition, we quantitatively compare the proposed algorithm with other already published algorithms by running experiments on binary data sets, and we also qualitatively compare the efficiency of the proposed algorithm in hiding association rules. We utilize the notion of border rules, by putting weights in each rule, and we use effective data structures for the representation of the rules so as (a) to minimize the side effects created by the hiding process and (b) to speed up the selection of the victim transactions. Finally, we discuss the advantages and the limitations of blocking. Copyright 2004 ACM.

关键词： Data mining

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Color textural features under varying illumination

Color textural features under varying illumination

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2004 International Conference on Image Processing, ICIP 2004

作者： Karkanis, S.A. Iakovidis, D.K. Maroulis, D.E. Dept. of Informatics and Computer Technology Technological Educational Institute of Lamia 3rd Kilometer Old National Road 35100 Lamia Greece Real-Time Systems and Image Analysis Group Dept. of Informatics and Telecommunication University of Athens Illisia 15784 Athens Greece

ISBN: (纸本)0780385543

In this paper we present a new feature extraction methodology for color texture recognition. It is based on the covariance of 2nd-order statistical features in the wavelet domain of the color channels of the images and it is named as Color Wavelet Covariance (CWC). The experimentation showed that the CWC features could be used effectively for texture representation even when illumination varies. The use of the linear K-L (Karhunen-Loeve) transformation of the RGB color space for the extraction of the CWC features resulted in a performance that was comparable to the one achieved with more complex non-linear color transformations. The recognition accuracy tested with texture mosaics reached an average of 86%. Using images acquired under varying illumination the performance of the CWC features on the K-L space reached an average of 88%. © 2004 IEEE.

关键词： Feature extraction

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Power consumption problems in Ad-Hoc wireless networks

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 2909卷 252-255页

作者： Caragiannis, Ioannis Kaklamanis, Christos Kanellopoulos, Panagiotis Computer Technology Institute Dept. of Computer Engineering and Informatics University of Patras 26500 Rio Greece

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Unsupervised speaker adaptation using high confidence portion recognition results by multiple recognition systems 8

Unsupervised speaker adaptation using high confidence portio...

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8th International Conference on Spoken Language Processing, ICSLP 2004

作者： Watanabe, Tomohiro Nishizaki, Hiromitsu Utsuro, Takehito Nakagawa, Seiichi Dept. of Information and Computer Sciences Toyohashi University of Technology Japan Interdisciplinary Graduate School of Medicine and Engineering University of Yamanashi Japan Graduate School of Informatics Kyoto University Japan

This paper describes an accurate unsupervised speaker adaptation method for lecture speech recognition using multiple LVC-SRs. In an unsupervised speaker adaptation framework, the improvement of recognition performance by adapting acoustic models greatly depends on the accuracy of labels such as phonemes and syllables. Therefore, extraction of the adaptation data guided by the confidence measures is effective for un-supervised adaptation. In this paper, we looked for the high confidence portions based on the agreement between two LVC-SRs, adapted acoustic models using the portions attached with high accurate labels, and then improved the recognition accuracy. We applied our method to the Corpus of Spontaneous Japanese (CSJ) and the method improved the recognition rate by about 5% in comparison with a traditional method.

关键词： Speech recognition

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Multi-attribute decision tree evaluation in imprecise and uncertain domains

Multi-attribute decision tree evaluation in imprecise and un...

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Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2004

作者： Larsson, Aron Johansson, Jim Ekenberg, Love Danielson, Mats Dept. of Information Technology Mid Sweden University SE-851 70 Sundsvall Sweden Dept. of Computer Science Stockholm University KTH Forum 100 SE-164 40 Kista Sweden Dept. of Informatics ESI Örebro University SE-701 82 Örebro Sweden

ISBN: (纸本)1577352017

We present a decision tree evaluation method integrated with a common framework for analyzing multi-attribute decisions under risk, where information is numerically imprecise. The approach extends the use of additive and multiplicative utility functions for supporting evaluation of imprecise statements, relaxing requirements for precise estimates of decision parameters. Information is modeled in convex sets of utility and probability measures restricted by closed intervals. Evaluation is done relative to a set of rules, generalizing the concept of admissibility, computationally handled through optimization of aggregated utility functions. Pros and cons of two approaches, and tradeoffs in selecting a utility function, are discussed.

关键词： Decision theory

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The correlation between NDVI value and surface temperature measured by aster 20

The correlation between NDVI value and surface temperature m...

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20th ISPRS Congress on Technical Commission VII

作者： Takemata, K. Kawata, Y. Naoe, N. Div. of Practical Engineering Education Kanazawa Institute of Technology Nonoichi Ishikawa921-8501 Japan Dept. of Media Informatics Kanazawa Institute of Technology Nonoichi Ishikawa921-8501 Japan Dept. of Electrical and Computer Engineering Kanazawa Technical College Kanazawa Ishikawa921-8601 Japan

The thermal environment in urban areas is characterized by the heat island phenomenon. To estimate the thermal conditions of land surfaces by satellite, it is necessary to find the relationship between the surface temperature and land cover type. The most widely used vegetation index for ecological application is the Normalized Difference Vegetation Index (NDVI). We studied the correlation between NDVI values and the surface temperature in our study area. NDVI uses radiance values or apparent reflectance values of the red and the near-infrared spectral bands. These reflectance values are influenced by the atmospheric aerosols. In order to calculate accurate NDVI values (aerosol-free NDVI), we first estimated the surface reflectance at visible bands by using our atmosphere-ground surface system based on the aerosol observation data. At the test site, we measured the aerosol optical thickness of visible bands using a sky radiometer, and we measured the air temperature and humidity by using a thermometer-hygrometer with a data logger. In this paper, we show the variations of aerosol optical thickness in the spring and summer and demonstrate the correlation between the surface temperatures of ASTER level 2B products and our observed screen temperatures.

关键词： Surface temperature

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A monte carlo study of randomised restarted search in ILP

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14th International Conference on Inductive Logic Programming, ILP 2004

作者： Železný, Filip Srinivasan, Ashwin Page, David in Prague Karlovo Nám. 13 Prague121 35 Czech Republic IBM India Research Laboratory Indian Institute of Technology Block 1 New Delhi110 016 India Dept. Of Biostatistics and Medical Informatics Dept. Of Computer Science University of Wisconsin 1300 University Ave. MadisonWI53706 United States

ISBN: (纸本)9783540229414

Recent statistical performance surveys of search algorithms in difficult combinatorial problems have demonstrated the benefits of randomising and restarting the search procedure. Specifically, it has been found that if the search cost distribution (SCD) of the non-restarted randomised search exhibits a slower-than-exponential decay (that is, a "heavy tail"), restarts can reduce the search cost expectation. Recently, this heavy tail phenomenon was observed in the SCD’s of benchmark ILP problems. Following on this work, we report on an empirical study of randomised restarted search in ILP. Our experiments, conducted over a cluster of a few hundred computers, provide an extensive statistical performance sample of five search algorithms operating on two principally different ILP problems (artificially generated graph data and the wellknown "mutagenesis" problem). The sample allows us to (1) estimate the conditional expected value of the search cost (measured by the total number of clauses explored) given the minimum clause score required and a "cutoff" value (the number of clauses examined before the search is restarted);and (2) compare the performance of randomised restarted search strategies to a deterministic non-restarted search. Our findings indicate that the cutoff value is significantly more important than the choice of (a) the specific refinement strategy;(b) the starting element of the search;and (c) the specific data domain. We find that the optimal value for the cutoff parameter remains roughly stable across variations of these three factors and that the mean search cost using this value in a randomised restarted search is up to three orders of magnitude (i.e. 1000 times) lower than that obtained with a deterministic non-restarted search. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Learning algorithms

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