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International Joint Conference on Neural Networks 2006, IJCNN '06

作者： Dong, Ming Wu, Jing Machine Vison and Pattern Recognition Lab. Department of Computer Science Wayne State University Detroit MI 48202 United States

ISBN: (纸本)0780394909

Support Vector Machince (SVMs) have been promising methods in pattern recognition becausc of their solid mathematical foundation. In this paper, we propuse a localized SVM classification scheme (LSVM), in which we first cluster the training data in each category, and then train a set of SVMs based on these clusters. The SVMs trained from the clusters in each category that are nearest to the given input psttern are then selected for the final classification. Our experiments on six UCI datasets show that LSVM outperforms the traditional SVM. © 2006 IEEE.

关键词： Support vector machines

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Nonlinear manifold clustering by dimensionality

Nonlinear manifold clustering by dimensionality

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18th International Conference on pattern recognition, ICPR 2006

作者： Wenbo, Cao Haralick, Robert Computer Science Pattern Recognition Lab. Graduate Center City University of New York 365 Fifth Avenue New York NY 10016 United States

ISBN: (纸本)0769525210

Because of variable dependence, high dimensional data typically have much lower intrinsic dimensionality than the number of its variables. Hence high dimensional data can be expected to lie in (nonlinear) lower dimensional manifold. In this paper, we describe a nonlinear manifold clustering algorithm. By connecting data vectors with their neighbors in feature space, we construct a neighborhood graph from given set data vectors. Furthermore, geometrical invariance, namely dimensionality, are extracted from the neighborhood of vectors, and used to facilitate the clustering procedure. In addition, we discuss a latent model for data cluster descriptions and an EM algorithm to find such descriptions. Preliminary experiments illustrate that this new algorithm can be used to explore the nonlinear structure of data. © 2006 IEEE.

关键词： Clustering algorithms

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A novel fingerprint representation scheme and its application to fingerprint matching

A novel fingerprint representation scheme and its applicatio...

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Proceedings of the IASTED International Conference on Circuits, Signals, and Systems

作者： Qi, Jin Wang, Sen Shi, Zhongchao Zhao, Xuying Wang, Yangsheng Natl. Lab. of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China Department of Computer Science State Univ. New York at Stony Brook Stony Brook NY 11790

ISBN: (纸本)0889864551

A novel fingerprint representation scheme is introduced using both the feature of orientation field of the fingerprint pattern around the minutia and the geometrical configuration of the neighboring minutiae around the minutia. For each minutia, this representation allows the derivation of a fixed-size feature vector which is invariant to the rotation and translation of the fingerprint. With these vectors, we can easily define the similarity level between minutiae that is used to find the correspondence of two minutiae sets and increase the reliability of the matching. A fingerprint matching algorithm,based on the well-defined similarity between minutiae, is developed and tested with a series of experiments performed on the public domain collection of fingerprint images, DB3 in FVC2002. The results reveal that our method outperforms other alternative approaches implemented for comparison.

关键词： Image analysis

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Using a real-time web-based pattern recognition system to search for component patterns database

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1st EurAsian Conference on Advances in Information and Communication Technology, EurAsia-ICT 2002

作者： Hsiao, Sung-Jung Fan, Kuo-Chin Sung, Wen-Tsai Ou, Shih-Ching Artificial Intelligence and Pattern Recognition Lab. Department of Computer Science and Information Engineering National Central University Taiwan Automation and CAD Lab. Department of Electrical Engineering National Central University Taiwan

ISBN: (纸本)3540000283

Faraway engineers are able to sketch direct the shape of engineering components by the browser, and the recognition system will proceed with search for the component database of company by the Internet. In this paper, component patterns are stored in the database system. Component patterns with the approach of database system will be able to improve the capacity of recognition system effectively. In our approach, the recognition system adopts distributed compute, and it will raise the recognition rate of system. The system uses a recurrent neural network (RNN) with associative memory to perform the action of training and recognition. The final phase joins the technology of database match in process of the recognition except distributed compute, and it will solve the problem of spurious state. In this paper, our system will be carried out in the Yang-Fen Automation Electrical Engineering Company. The plan of experiment has gone through four months, and their engineers are also used to take advantage of the way of Web-Based pattern recognition. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Recurrent neural networks

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Multiple objects segmentation based on maximum-likelihood estimation and optimum entropy-distribution(MLE-OED)

Multiple objects segmentation based on maximum-likelihood es...

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16th International Conference on pattern recognition, ICPR 2002

作者： Jun, Xie Tsui, H.T. Deshen, Xia Image Processing and Computer Vision Lab Department of Electronic Engineering Chinese University of Hong Kong Hong Kong Pattern Recognition Lab Department of Computer Science Nanjing University of Sci.andTech. China

ISBN: (纸本)0769516963

A new method based on MLE-OED is proposed for unsupervised image segmentation of multiple objects which have fuzzy edges. It adjusts the parameters of a mixture of Gaussian distributions via minimizing a new loss function proposed to implement image segmentation based on the image's local spatial information and global intensity distribution properties . The loss function consists of two terms: a local content fitting term, which optimizes the entropy distribution, and a global statistical fitting term, which maximizes the likelihood of the parameters for the given data. The proposed segmentation method was validated by simulated and real examples Its performance in the experiments is better than those of two popular methods. © 2002 IEEE.

关键词： Maximum likelihood estimation

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Text extraction in real scene images on planar planes

Text extraction in real scene images on planar planes

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16th International Conference on pattern recognition, ICPR 2002

作者： Jung, Keechul Kim, Kwang In Han, Junghyun Pattern Recognition and Image Processing Lab. Michigan State Univ. United States Artificial Intelligence Lab. KAIST Korea Republic of School of Electrical and Computer Engineering Sung Kyun Kwan Univ. Korea Republic of

ISBN: (纸本)0769516963

This paper proposes a hybrid approach of texture-based method and connected component-based one for extracting texts in real scene images. For detecting texts having a lot of variations in size, shape, etc. we use a multiplecontinuously adaptive mean shift algorithm on the text probability image produced by a multi-layer perceptron. It is assumed that scene text lies on planar rectangular surfaces with homogeneous background colors. We correct perspective distortion using warping parameters calculated after segmentation of an input image. We can delect and reconstruct text images accurately and efficiently. © 2002 IEEE.

关键词： Image segmentation

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Text scanner with text detection technology on image sequences

Text scanner with text detection technology on image sequenc...

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16th International Conference on pattern recognition, ICPR 2002

作者： Jung, Keechul Kim, Kwang In Kurata, Takeshi Kourogi, Masakastu Han, Junghyun Pattern Recognition and Image Processing Lab. Michigan State Univerisity United States Artificial Intelligence Lab. KAIST Korea Republic of National Institute of Advanced Industrial Science and Technology Japan School of Electrical and Computer Engineering Sungkyunkwan University Korea Republic of

ISBN: (纸本)0769516963

We propose a text scanner, which detects wide text strings in a sequence of scene images. For scene text detection, we use a multiple-CAMShift algorithm on a text probability image produced by a multi-layer perceptron. To provide enhanced resolution of the extracted text images, we perform the text detection process after generating a mosaic image in a fast and robust image registration method. © 2002 IEEE.

关键词： Image enhancement

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Text Scanner with text detection technology on image sequences

Text Scanner with text detection technology on image sequenc...

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作者： Jung, Keechul Kim, Kwang In Kurata, Takeshi Kourogi, Masakastu Han, JungHyun Pattern Recognition and Image Processing Lab. Michigan State Univerisity United States Artificial Intelligence Lab. KAIST Korea Republic of National Institute of Advanced Industrial Science and Technology Japan School of Electrical and Computer Engineering Sungkyunkwan University Korea Republic of

关键词： Text processing

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Development of intelligent virtual reality web-based robotics for manufacturing applications

Development of intelligent virtual reality web-based robotic...

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IEEE International Conference on Industrial Technology, IEEE ICIT 2002

作者： Ou, Shih-Ching Sung, Weii-Tsai Hsiao, Sung-Jung Department of Electrical Engineering E-Learning and CAD Lab. National Central University Taiwan Kee-Kin 1 st Road An Lo District Keelung204 Taiwan Artificial Intelligence and Pattern Recognition Lab Department of Computer Science and Information Engineering National Central University Taiwan

ISBN: (纸本)0780376579

This paper describes several methods for using the Virtual Reality Modeling Language (VRML) as the visualization integration technology for manufacturing simulation systems. One of our goals was to develop an integration methodology based on the Web-Elased Manufacturing translators to produce reusable VRML assembly components and Simulation. Virtual Reality {VR) can be handled as improved animation operated by a simulation system. Manufacturing basically comprises some basic classes of engineering tasks, these tasks could benefit from the application of VR through the high-fidelity visualizations, providing model and situation representation in the 3D space, and the power of interactive handling of large data sets in real-time or near real-time. The underlying principles of VR via VRML are described and applications in design and manufacturing tasks are illustrated by assembly planning and intelligent robotic examples. The final, we propose Robotic-Simulator software design and a framework for the Web-Based Manufacturing Simulation. © 2002 IEEE.

关键词： Virtual reality

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Multiple objects segmentation based on Maximum-likelihood Estimation and Optimum Entropy-distribution(MLE-OED)

Proceedings - International Conference on Pattern Recognitio...

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Proceedings - International Conference on pattern recognition 2002年第1期16卷 707-710页

A new method based on MLE-OED is proposed for unsupervised image segmentation of multiple objects which have fuzzy edges. It adjusts the parameters of a mixture of Gaussian distributions via minimizing a new loss function proposed to implement image segmentation based on the image's local spatial information and global intensity distribution properties . The loss function consists of two terms: a local content fitting term, which optimizes the entropy distribution, and a global statistical fitting term, which maximizes the likelihood of the parameters for the given data. The proposed segmentation method was validated by simulated and real examples. Its performance in the experiments is better than those of two popular methods. © 2002 IEEE.

关键词： Object recognition

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