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international conference on Wavelet Analysis and pattern recognition (ICWAPR)

作者： Jin-Ru Wang Department of Applied Mathematics Beijing University of Technology Beijing China

We consider the problem of determining an unknown source, which depends only on the spatial variable, in a diffusion equation. This is an ill-posed problem. For a reconstruction of the solution from indirect data, the dual least squares method generated by the family of Shannon wavelet subspaces is applied. Moreover, a certain simple nonlinear modification of the method based on local refinements of the wavelet expansion of the noisy data is investigated.

关键词： Equations Wavelet analysis pattern analysis pattern recognition

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Quaternion K-L transform and Biomimetic pattern recognition approaches for color-face recognition

Quaternion K-L transform and Biomimetic pattern recognition ...

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IEEE international conference on Intelligent computing and Intelligent Systems (ICIS)

作者： Lijun Ding Hao Feng Jiaxing University Jiaxing China

ISBN: (纸本)9781424447374;9781424447541

This paper proposed a method of quaternion K-L transform and biomimetic pattern recognition (BPR) for color face recognition. The BPR aimed at optimal covering in the feature space R n using some complex geometric bodies for cover samples distribution in R n approximately in order to ¿recognize¿. We used quaternion K-L transform to extract the Eigen-faces of training samples and algebraic feature components of each sample for training by BPR. The method was applied to the face database ¿faces94¿ in Essex University, and the experiments results indicated that the correct recognition rate reached to 96.67%, and proved its efficiency and feasibility for color face recognition, and also showed it was better than the performance of SVM.

关键词： pattern recognition Quaternions Biomimetics Face recognition Color Business process re-engineering Data mining Artificial neural networks Spatial databases Support vector machines

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Multimodal real-time conversation analysis using a novel process engine

Multimodal real-time conversation analysis using a novel pro...

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international conference on Affective computing and Intelligent Interaction and Workshops, ACII

作者： Stefan Scherer Volker Fritzsch Friedhelm Schwenker Institute of Neural Information Processing Ulm University Germany

This contribution introduces a software framework enabling researchers to develop real-time pattern recognition and sensor fusion applications in an abstraction level above that of common programming languages in order to reduce and minimize programming errors and technical obstacles. Furthermore, a proof of concept using two separate instances of the process engine on different computers with audiovisual data processing is described. The scenario shows the capability of the engine to process data in realtime and synchronously on multiple machines, which are necessary features in large scale projects.

关键词： Engines Information analysis Prototypes Java pattern analysis pattern recognition Application software Data processing Emotion recognition Automatic speech recognition

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An X-Ray Computed Tomography Technique for the Measurement of Packing Density in Granular Particles

An X-Ray Computed Tomography Technique for the Measurement o...

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26th IEEE international Instrumentation and Measurement Technology conference

作者： Bloom, Michael Russell, Michael Kustau, Aliaksei Mandayam, Shreekanth Sukumaran, Beena Rowan Univ Coll Engn Glassboro NJ 08028 USA

ISBN: (纸本)9781424433520

It has been shown that the flow and shear characteristics of granular particles such as soils are significantly dependent on the shape of the particles. This is important from a practical viewpoint because a fundamental understanding of granular behavior will lead to an improved understanding of soil stability and influence the design of structural foundations. Furthermore, the calculation of soil stability and consequently structural stability is particularly useful during earthquake events. In previous work, we have demonstrated the applicability of X-ray and optical' tomography measurements for characterizing 3-D shapes of natural sands and manufactured granular particles. In this paper, we extend the work to measure the arrangement and orientation of an assemblage of such particles. A combination of X-ray CT for measuring the coordinates of the individual particles, and basic image processing techniques for computing the local variations in packing density are employed to generate density maps. Such maps can be used to gain a more fundamental understanding of the shear characteristics of granular particles. In this paper, we demonstrate the success of our technique by exercising the method on two sets of granular particles - glass beads (used as a control) and Michigan Dune sand.

关键词： image processing pattern recognition mechanical measurements material analysis

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Application of adaptive neuro fuzzy inference system to the partial discharge pattern recognition

Application of adaptive neuro fuzzy inference system to the ...

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IEEE international conference on Intelligent computing and Intelligent Systems (ICIS)

作者： Canxin Guo Li Zhang Yong Qian Chengjun Huang Hui Wang Linpeng Yao Xiuchen Jiang Department of Electrical Engineering Shanghai Jiaotong University Shanghai China Shanghai Municipal Electrical Power Company Shanghai China

ISBN: (纸本)9781424447374;9781424447541

The application of adaptive neuro fuzzy inference system (ANFIS) to the partial discharge (PD) pattern recognition is presented in this paper. Four types of defect models are made according to the main reason of insulation failures in real power system. Experiments are carried out to acquire the sample data, from which eight statistical features are extracted to construct the ANFIS. Different characteristics of the proposed defect models are compared based on the extracted features. Then the ANFIS is trained by characteristic features. Testing samples are utilized to validate the performance of the recognition system. The result shows that ANFIS reaches a successful recognition rate in the application of PD pattern classification.

关键词： Fuzzy systems Partial discharges pattern recognition Fuzzy logic Circuit testing Voltage Power system modeling Feature extraction Data mining System testing

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Practical contour segmentation algorithm for small animal digital radiography image

Practical contour segmentation algorithm for small animal di...

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7th international conference on Photonics and Imaging in Biology and Medicine

作者： Zheng, Fang Hui, Gong Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan Hubei China Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan Hubei China

ISBN: (纸本)9780819475398

In this paper a practical, automated contour segmentation technique for digital radiography image is described. Digital radiography is an imaging mode based on the penetrability of x-ray. Unlike reflection imaging mode such as visible light camera, the pixel brightness represents the summation of the attenuations on the photon thoroughfare. It is not chromophotograph but gray scale picture. Contour extraction is of great importance in medical applications, especially in non-destructive inspection. Manual segmentation techniques include pixel selection, geometrical boundary selection and tracing. But it relies heavily on the experience of the operators, and is time-consuming. Some researchers try to find contours from the intensity jumping characters around them. However these characters also exist in the juncture of bone and soft tissue. The practical way is back to the primordial threshold algorithm. This research emphasizes on how to find the optimal threshold. A high resolution digital radiography system is used to provide the oriental gray scale image. A mouse is applied as the sample of this paper to show the feasibility of the algorithm. © 2009 SPIE.

关键词： Medical applications

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Ensemble Methods of Face recognition Based on Bit-plane Decomposition

Ensemble Methods of Face Recognition Based on Bit-plane Deco...

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international conference on Computational Intelligence and Natural computing, CINC

作者： Kai Li Lingxiao Wang School of Mathematics and Computer Hebei University Baoding China

Face recognition has become one of the latest research subjects of pattern recognition and image processing. Although many face recognition techniques have been proposed and many achievements have been obtained, we canpsilat get high recognition rate due to the changes of face expression, location, direction and light. In this paper we study human face recognition based on ensemble techniques. In order to improve diversity of component classifiers, the idea of bit-plane decomposition is used and moving window classifier is used as a basic individual classifier. The quantized pattern representationspsila layers are used jointly to make a decision. And we mainly study several fused methods which include product, sum, majority vote, max, min and median rules. Experiments results with face images databases show that fusion of multiple classifiers has good classification performance. Moreover, we compare different multiple classifier schemes with other human face recognition methods.

关键词： Face recognition Face detection Image recognition pattern recognition Humans Voting Feature extraction Image processing Control systems Diversity reception

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Rough Set Based Ensemble Prediction for Topic Specific Web Crawling

Rough Set Based Ensemble Prediction for Topic Specific Web C...

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international conference on Advances in pattern recognition (ICAPR)

作者： Suman Saha C.A. Murthy Sankar K. Pal Center of Soft Computing Research Indian Statistical Institute India

The rapid growth of the World Wide Web had made the problem of useful resource discovery an important one in recent years. Several techniques such as focused crawling and intelligent crawling have recently been proposed for topic specific resource discovery. All these crawlers use the hypertext features behavior in order to perform topic specific resource discovery. A focused crawler uses the relevance score of the crawled page to score the unvisited URLs extracted from it. The scored URLs are then added to the frontier. Then it picks up the best URL to crawl next. Focused crawlers rely on different types of features of the crawled pages to keep the crawling scope within the desired domain and they are obtained from URL, anchor text, link structure and text contents of the parent and ancestor pages. Different focused crawling algorithms use these different set of features to predict the relevance and quality of the unvisited Web pages. In this article a combined method based on rough set theory has been proposed. It combines the available predictions using decision rules and can build much larger domain-specific collections with less noise. Our experiment in this regard has provided better Harvest rate and better target recall for focused crawling.

关键词： Uniform resource locators Crawlers Web pages Search engines Taxonomy software libraries pattern recognition Web sites Set theory Information retrieval

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EDIT DISTANCE WITH COMBINATIONS AND SPLITS AND ITS APPLICATIONS IN OCR NAME MATCHING

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international JOURNAL OF FOUNDATIONS OF COMPUTER SCIENCE 2009年第6期20卷 1047-1068页

作者： Christodoulakis, Manolis Brey, Gerhard Univ E London Sch Comp Informat Technol & Engn London E16 2RD England Kings Coll London Ctr Comp Humanities London WC2B 5RL England

Approximate pattern matching has a wide range of applications and, depending on the type of approximation, there exist numerous algorithms for solving it. In this article we focus on texts which originate from OCRed documents, whose errors quite often have a particular form and are far from being random errors. We introduce a new variant of the edit distance metric, where apart from the traditional edit operations, two new operations are supported. The combination operation allows two or more symbols from a string x to be interpreted as a single symbol and then "matched" (or aligned) against a single symbol of a second string y. Its dual is the operation of a split, where a single symbol from x is broken down into a sequence of two or more other symbols, that can then be matched against an equal number of symbols from y. Our algorithm requires O(L) time for preprocessing, and O(mnk) time for computing the edit distance, where L is the total length of all the valid combinations/splits, m and n are the lengths of the two strings under comparison and k is an upper bound on the number of valid splits for any single symbol. The expected running time is O(mn).

关键词： Edit distance combinations splits optical character recognition (OCR) approximate pattern matching name matching

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Advances in Intelligent Data Analysis VIII 2009

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丛书名： Lecture Notes in Computer Science

2009年

作者： Niall M. Adams Céline Robardet Arno Siebes Jean-Francois Boulicaut

ISBN: (数字)9783642039157

ISBN: (纸本)9783642039140

This book constitutes the refereed proceedings of the 8th international conference on Intelligent Data Analysis, IDA 2009, held in Lyon, France, August 31 September 2, 2009. The 33 revised papers, 18 full oral presentations and 15 poster and short oral presentations, presented were carefully reviewed and selected from almost 80 submissions. All current aspects of this interdisciplinary field are addressed; for example interactive tools to guide and support data analysis in complex scenarios, increasing availability of automatically collected data, tools that intelligently support and assist human analysts, how to control clustering results and isotonic classification trees. In general the areas covered include statistics, machine learning, data mining, classification and pattern recognition, clustering, applications, modeling, and interactive dynamic data visualization.

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