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Research on matching between user queries and web pages based on BAM

Research on matching between user queries and web pages base...

引用

8th ACIS international conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed computing/3rd ACIS international Workshop on Self-Assembling Wireless Networks

作者： Deng, Bo Du, Yajun Xihua Univ Sch Math & Comp Engn Chengdu 610039 Sichuan Peoples R China

ISBN: (纸本)0769529097

We put forward a new matching strategy with more elaborate and realistic concepts to improve on the past matching strategy based on keyword. In this paper we set up a concept lattice for each web page according to the natural semantic concepts extracted from each web page. Such concept lattices are encoded by bidirectional associative memories as apposed to complex lattices building algorithms. then we extract the formal concepts' objects and attributes those are relevant to queries' keywords to carry on matching manipulate.

关键词： pattern matching

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Proseedings: SNPD 2007: Eighth ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed computing

Proseedings: SNPD 2007: Eighth ACIS International Conference...

引用

SNPD 2007: 8th ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed computing

ISBN: (纸本)0769529097

the proceedings contain 542 papers. the papers discussed include: research on threshold denoising of FPRGA;study on heuristic algorithm for dynamic scheduling problem of earth;lifetime optimized methods of correlated data gathering on sensor networks;coverage-preserving data gathering in wireless sensor networks;tasks allocation for real-time applications in heterogeneous sensor networks;communication optimization algorithms based on extend data flow graph;study on distributing pattern of shared data in CC-NUMA system;a novel algorithm for load balancing in distributed systems;a replication and cache based metadata management system for data grid;new synchronization scheme between audio and video;a new scheme for off-line signature verification using DWT and fuzzy net;and new kind of hybrid filter based on the peak-and-valley filter and PCNN.

关键词： Heuristic algorithms

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Customized message generation and speech synthesis in response to characteristic behavioral patterns of children

引用

12th international conference on Human-Computer Interaction (HCI international 2007)

作者： Lee, Ho-Joon Park, Jong C. CS Div KAIST 335 Gwahangno 373-1 Guseong dong Taejon 305701 South Korea

ISBN: (纸本)9783540731085

there is a growing need for a user-friendly human-computer interaction system that can respond to various characteristics of a user in terms of behavioral patterns, mental state, and personalities. In this paper, we present a system that generates appropriate natural language spoken messages with customization for user characteristics, taking into account the fact that human behavioral patterns usually reveal one's mental state or personality subconsciously. the system is targeted at handling various situations for five-year old kindergarteners by giving them caring words during their everyday lives. With the analysis of each case study, we provide a setting for a computational method to identify user behaviroal patterns. We believe that the proposed link between the behavioral patterns and the mental state of a human user can be applied to improve not only user interactivity but also believability of the system.

关键词： natural language processing customized message generation behavioral pattern recognition speech synthesis ubiquitous computing

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recognition of shipping container identifiers using ART2-based quantization and a refined RBF network

Recognition of shipping container identifiers using ART2-bas...

引用

8th international conference on Adaptive and Natural computing Algorithms, ICANNGA 2007

作者： Kim, Kwang-Baek Kim, Minhwan Woo, Young N Dept. of Computer Engineering Silla University Busan Korea Republic of Dept. of Computer Engineering Pusan National University Busan Korea Republic of Dept. of Multimedia Engineering Dong-Eui University Busan Korea Republic of

ISBN: (纸本)9783540715900

Generally, it is difficult to find constant patterns on identifiers in a container image, since the identifiers are not normalized in color, size, and position, etc. and their shapes are damaged by external environmental factors. this paper distinguishes identifier areas from background noises and removes noises by using an ART2-based quantization method and general morphological information on the identifiers such as color, size, ratio of height to width, and a distance from other identifiers. Individual identifier is extracted by applying the 8-directional contour tracking method to each identifier area. this paper proposes a refined ART2-based RBF network and applies it to the recognition of identifiers. through experiments with 300 container images, the proposed algorithm showed more improved accuracy of recognizing container identifiers than the others proposed previously, in spite of using shorter training time. © Springer-Verlag Berlin Heidelberg 2007.

关键词： pattern recognition

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A domain-driven approach for detecting event patterns in e-markets: A case study in financial market surveillance

引用

8th international conference on Web Information Systems Engineering (WISE 2007)

作者： Mangkorntong, Piyanath Rabhi, Fethi A. Univ New South Wales Sch Comp Sci & Engn Sydney NSW 2052 Australia Univ New South Wales Sch Informat Syst Technol & Management Sydney NSW 2052 Australia

ISBN: (纸本)9783540769927

An e-market can be thought of as a distributed event system where an event is generated every time the market's state changes in response to a number of human or computing agents. the paper describes a practical application of event processing in an e-market context through conventional Event Processing Systems (EPSs). A new EPS architecture that allows an integration of several existing EPSs under a unified domain-specific user interface and execution environment is proposed. We assess the performance of the system for a case study in financial market surveillance and its ability to provide a common interface for two existing EPSs - SMARTS and Coral8. A discussion on the experimental results and the issues arising from the proposed EPS architecture are also provided.

关键词： e-markets event-driven architecture event pattern model

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A novel statistical and DCT based image encoder

A novel statistical and DCT based image encoder

引用

4th IASTED international conference on Signal Processing, pattern recognition, and Applications, SPPRA 2007

作者： Bagheri Zadeh, P. Buggy, T. Sheikh Akbari, A. Soraghan, J.J. School of Computing and Mathematical Sciences Glasgow Caledonian University 70 Cowcaddens Road Glasgow G4 0BA United Kingdom Department of Electrical and Electronic Engineering University of Bristol Merchant Venturers Building Woodland Road Bristol BS8 1UB United Kingdom Institute of Communications and Signal Processing Department of Electronic and Electrical Engineering University of Strathclyde Glasgow G1 1XW United Kingdom

ISBN: (纸本)9780889866461

this paper presents a novel statistical and discrete cosine transform (DCT) based image-coding scheme. the proposed coding scheme divides the input image into a number of non-overlapping pixel blocks. the coefficients in each block are then decorrelated into their spatial frequencies using a discrete cosine transform. Coefficients with the same spatial frequency at different blocks are put together to generate a number of matrices, where each matrix contains coefficients of a particular spatial frequency. the matrix containing DC coefficients is losslessly coded to preserve visually important information. Matrices, which consist of high frequency coefficients, are coded using a novel statistically based coding algorithm developed in this paper. Perceptual weights are used to regulate the threshold value required in the coding process of the high frequency matrices. the proposed coding scheme and JPEG were applied to Lena, Elaine and House, three test images, and results show that the proposed coding scheme outperforms JPEG subjectively and objectively at low compression ratios. Results also indicate that the decoded images using the proposed codec have superior subjective quality at high compression ratios while JPEG suffers from blocking artifacts at high compression ratios.

关键词： Image compression

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A study of speech emotion recognition and its application to mobile services

引用

4th international conference on Ubiquitous Intelligence and computing

作者： Yoon, Won-Joong Cho, Youn-Ho Park, Kyu-Sik Dankook Univ Div Informat & Comp Sci San 8 Seoul 140714 South Korea

ISBN: (纸本)9783540735489

In this paper, a speech emotion recognition agent for mobile communication service is proposed. the proposed system can recognize five emotional states - neutral, happiness, sadness, anger, and annoyance from the speech captured by a cellular phone in real time and then it calculates the degree of affection such as love, truthfulness, weariness, trick, friendship of the person who you are interesting to know through the mobile phone. In general, a speech acquired by a cellular phone contains noise due to the mobile network and environmental noise. thus it can causes serious performance degradation due to the distortion in emotional features of the query speech. In order to alleviate the effect of these noises, we adopt a MA (Moving Average) filter which has relatively simple structure and low computational complexity. then a feature optimization method is implemented to further improve and stabilize the system performance. For a practical application, we create an agent that can measure the degree of affection from the person who you want to know on the mobile phone. Two pattern classification methods, k-NN and SVM with probability estimates, are compared for estimating the degree of affection. the experimental results indicate that the proposed method provides very stable and successful emotional classification performance as 72.5 % over five emotional states and it shows the feasibility of the agent for mobile communication services.

关键词： Speech recognition

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Sparse multinomial logistic regression via Bayesian L1 regularisation 19

引用

20th Annual conference on Neural Information Processing Systems, NIPS 2006

作者： Cawley, Gavin C. Talbot, Nicola L.C. Girolami, Mark School of Computing Sciences University of East Anglia Norwich Norfolk NR4 7TJ United Kingdom Department of Computing Science University of Glasgow Glasgow G12 8QQ United Kingdom

ISBN: (纸本)9780262195683

Multinomial logistic regression provides the standard penalised maximumlikelihood solution to multi-class pattern recognition problems. More recently, the development of sparse multinomial logistic regression models has found application in text processing and microarray classification, where explicit identification of the most informative features is of value. In this paper, we propose a sparse multinomial logistic regression method, in which the sparsity arises from the use of a Laplace prior, but where the usual regularisation parameter is integrated out analytically. Evaluation over a range of benchmark datasets reveals this approach results in similar generalisation performance to that obtained using cross-validation, but at greatly reduced computational expense.

关键词： Logistic regression

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Multi-objective feature selection with NSGA II

引用

8th international conference on Adaptive and Natural computing Algorithms, ICANNGA 2007

作者： Hamdani, Tarek M. Won, Jin-Myung Alimi, Adel M. Karray, Fakhri University of Sfax ENIS BP. W-3038 Sfax Tunisia Pattern Analysis and Machine Intelligence Research Group Department of Electrical and Computer Engineering University of Waterloo Waterloo Ont. N2L 3G1 Canada

ISBN: (纸本)9783540715894

this paper deals with the multi-objective definition of the feature selection problem for different pattern recognition domains. We use NSGA II the latest multi-objective algorithm developed for resolving problems of multiobjective aspects with more accuracy and a high convergence speed. We define the feature selection as a problem including two competing objectives and we try to find a set of optimal solutions so called Pareto-optimal solutions instead of a single optimal solution. the two competing objectives are the minimization of both the number of used features and the classification error using 1-NN classifier. We apply our method to five databases selected from the UCI repository and we report the results on these databases. We present the convergence of the NSGA II on different problems and discuss the behavior of NSGA II on these different contexts. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Problem solving

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Variable Width Elliptic Gaussian Kernels for Probability Density Estimation

Variable Width Elliptic Gaussian Kernels for Probability Den...

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international conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service (TELSIKS)

作者： Dragoljub Pokrajac Longin Jan Latecki Aleksandar Lazarevic Jelena Nikolic Computer and Information Science Department Applied Mathematics Research Center and Center for Research and Education in Optical Sciences and Applications (CREOSA) Delaware State University Dover DE USA CIS Department Temple University Philadelphia PA USA CREOSA and United Technologies Research Center Hartford CT USA Faculty of Electronic Engineering University of Nis Nis Serbia

Estimation of probability density functions based on available data is important problem arising in various fields, such as telecommunications, machine learning, data mining, pattern recognition and computer vision. In this paper, we consider Kernel-based non-parametric density estimation methods and derive formulae for variable kernel density estimation using generalized, elliptic Gaussian kernels. the proposed technique is verified on simulated data.

关键词： Kernel Probability density function Machine learning Data mining pattern recognition Computer vision Eigenvalues and eigenfunctions Random variables State estimation Optical computing

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