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Large margin classifier based on hyperdisks

Large margin classifier based on hyperdisks

引用

10th International Conference on machine learning and Applications, ICMLA 2011

作者： Cevikalp, Hakan Electrical and Electronics Engineering Department Machine Learning and Computer Vision Laboratory Eskisehir Osmangazi University Meselik Eskisehir 26480 Turkey

ISBN: (纸本)9780769546070

This paper introduces a binary large margin classifier that approximates each class with an hyper disk constructed from its training samples. For any pair of classes approximated with hyper disks, there is a corresponding linear separating hyper plane that maximizes the margin between them, and this can be found by solving a convex program that finds the closest pair of points on the hyper disks. More precisely, the best separating hyper plane is chosen to be the one that is orthogonal to the line segment connecting the closest points on the hyper disks and at the same time bisects the line. The method is extended to the nonlinear case by using the kernel trick, and the multi-class classification problems are dealt with constructing and combining several binary classifiers as in Support Vector machine (SVM) classifier. The experiments on several databases show that the proposed method compares favorably to other popular large margin classifiers. © 2011 IEEE.

关键词： Support vector machines

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An image retrieval method about ancient Chinese characters within local area

An image retrieval method about ancient Chinese characters w...

引用

2011 International Conference on Transportation, Mechanical, and Electrical Engineering, TMEE 2011

作者： Tian, Xue-Dong Huang, Juan Yang, Fang Ha, Yan College of Mathematics and Computer Science Hebei University Baoding Hebei China Hebei Key Laboratory of Machine Learning and Computational Intelligence Hebei University Baoding Hebei China

ISBN: (纸本)9781457717017

Ancient Chinese characters normally have complex structures which are composed of many strokes. Different characters may show a similar shape which results in unsatisfactory answers for their image retrieving using the traditional methods. In this paper, an image retrieval algorithm for ancient Chinese characters is proposed based on the local area of characters. First of all, according to the need of users, the regions needed to be matched are marked on the sample of ancient Chinese character image. Then we match the image by comparing the Euclidean distance of feature parameters between sample image and database images. Finally, the ancient images which users need are found. The experimental results show that the proposed method could improve the efficiency of correlative research. © 2011 IEEE.

关键词： Image retrieval

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Large Margin Classifier Based on Hyperdisks

Large Margin Classifier Based on Hyperdisks

引用

International Conference on machine learning and Applications (ICMLA)

作者： Hakan Cevikalp Electrical and Electronics Engineering Department Machine Learning and Computer Vision Laboratory Eskisehir Osmangazi University Eskisehir Turkey

关键词： Support vector machines Databases Kernel Training Approximation methods Optimization Accuracy

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A method for person name disambiguation based on Baidu Encyclopedia

A method for person name disambiguation based on Baidu Encyc...

引用

International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE)

作者： Xinfu Li Wenxue Cao Key Laboratory of Machine Learning and Computational Intelligence College of Mathematics and Computer Science Hebei University Baoding China

The phenomenon of person name ambiguity is widespread on web pages in that one name may be used by different people. It is important to uniquely identify the given person on the web. In this paper, the method Baidu-PND is proposed by the authors. It is an unsupervised name disambiguation method based on Baidu Encyclopedia. We extract three features including background knowledge, contextual feature and Related-Set of the characters from the online Baidu Encyclopedia. The weights of the features are studied by logistic regression algorithm. Then we make a linear fusion of the features. The maximum combined value is selected as the correct person on web pages. Experiments are conducted to measure the performance of Baidu-PND, which show that the performance is higher than we expected, validating its feasibility and effectiveness for person name disambiguation on web pages. And, Baidu-PND is a new method for knowledge mining based on Baidu Encyclopedia.

关键词： Encyclopedias Web pages Feature extraction Context Physics Accuracy Educational institutions

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KM-A∗ pathfinding algorithm based on hierarchical clustering and strengthened DB Index criteria

KM-A∗ pathfinding algorithm based on hierarchical clusterin...

引用

International Conference on machine learning and Cybernetics (ICMLC)

作者： Cai Chen Yan Li Tie-Song Li Key Laboratory of Machine Learning and Computational Intelligence College of Mathematics and Computer Science Hebei University Baoding China

In computer games, high-quality pathfinding algorithms are important to bring satisfactory experiences to the players, which may improve the playability of computer game. The method of KM-A* belongs to hierarchical pathfinding, which incorporates the information of obstacle distribution when partitioning game maps using K-means clustering. This algorithm reduced unnecessary storage and unnatural paths in some open areas. However, the found path by KM-A* is very unstable and the quality closely depends on the clustering results. In this paper, we proposed an improved KM-A* algorithm, which aims to enhance the stability and quality of pathfinding. First, an agglomerative hierarchical clustering algorithm is used to determine the initial cluster centers, and K-Means algorithm is then applied to cluster obstacle nodes with k values which can possibly generate best cluster categories on game maps. Secondly, the strengthened form of DB Index criteria is defined by adding impact factors to the standard DB Index criteria to measure the quality of clustering results. Finally the best clustering is selected based on this new DB Index, which will provide a guidance to further generate an abstract map for on-line pathfinding. Experiments are conducted to compare the performance of KM-A* and improved KM-A*, which show that the latter can find more stable paths and use less on-line processing time.

关键词： Indexes Clustering algorithms Games Partitioning algorithms machine learning Algorithm design and analysis Heuristic algorithms

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L1-Norm-Based 2DLPP

L1-Norm-Based 2DLPP

引用

2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

作者： Hao-Xin Zhao Hong-Jie Xing Xi-Zhao Wang Jun-Fen Chen Key Laboratory of Machine Learning and Computational Intelligence College of Mathematics and Computer Science Hebei University Baoding 071002 China

In this paper, we propose a new L1-Norm-Based two-dimensional locality preserving projections (2DLPP-L1). Traditional 2D-LPP can preserve local structure and extract feature directly form matrices, which shows great advantages. However, it is based on L2 norm. It is well known that L2-norm-based criterion is sensitive to outliers. We generalize 2D-LPP to its corresponding L1-norm-based version, i.e. 2DLPP-L1, which is more robust against outliers. To evaluate the performance of 2DLPP-L1, several experiments are performed on the ORL face databases. Experimental results demonstrate that 2DLPP-L1 has better performance than its related methods.

关键词： L1 norm 2DLPP outliers two dimensional projections

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Regional objects based image retrieval

Regional objects based image retrieval

引用

2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

作者： Jian-Guo Wu Xi-Zhao Wang Hong-Jie Xing Key Laboratory of Machine Learning and Computational Intelligence College of Mathematics and Computer Science Hebei University Baoding 071002 China

Content-based image retrieval has become an important research area. In order to extract the semantic information within the user’s query concept, we propose an image retrieval method based on regional objects. It is regarded as the pre-processing of a given query image, that is to say, when we get a query image, it needs us to segment the regional object which is useful or interesting, and retrieve according to the segmented fragment. Moreover, we propose a correlation coefficient based color representation. Experimental results demonstrate that our proposed approach performs much better than its related methods. Furthermore, the presented system has a high retrieval precision and keeps color consistency between the similarity images.

关键词： Content-based image retrieval Regional objects Pre-processing Correlation coefficient

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A survey of the initialization of centers and widths in radial basis function network for classification

A survey of the initialization of centers and widths in radi...

引用

International Conference on machine learning and Cybernetics (ICMLC)

作者： Chun-Ru Dong Patrick P. K. Chan Wing W. Y. Ng Daniel S. Yeung Key Laboratory of Machine Learning and Computational Intelligence College of Mathematics and Computer Science Hebei University Baoding China Machine Learning and Cybernetics Research Center School of Computer Science and Engineering South China University of Technology Guangzhou China

The radial basis function network (RBFN) has been widely used in various fields such as function regression, pattern recognition, and error detection, etc. However, the structural parameters of RBFN including the number of hidden units, centers vectors, and widths (variances) are one of the most important issues when training a RBFN, which greatly affect the performance of RBFN. So, the objective of this paper is to construct an elementary survey about this problem. Firstly, the fundamental knowledge and notations of RBFN is introduced. Secondly, we summarize most existing network structure initialization methods for RBFN and categorize them into four goups. Then some typical appraoches for each category are introduced and discussed. The disadvantages and virtues for parts of methods are also introduced. Finally, the paper is concluded with a discussion of current difficulties and possible future directions about RBFN architecture selection.

关键词： Training Neurons Artificial neural networks Clustering algorithms Optimization machine learning

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Chinese keyword search over relational databases

Chinese keyword search over relational databases

引用

World Congress on Software Engineering

作者： Zhu, Liang Zhu, Yong Ma, Qin Key Laboratory of Machine Learning and Computational Intelligence School of Mathematics and Computer Science Hebei University Baoding Hebei 071002 China Department of Foreign Language Teaching and Research Hebei University Baoding Hebei 071002 China

ISBN: (纸本)9780769543031

Based on a knowledge base, we propose a new method to realize free-style Chinese keyword search over relational databases. Firstly, an index (also called knowledge base) is built by extracting related information of Chinese tuple words in a database, then query words and tuple words are matched quickly each other by with the index to obtain some of candidate answers for a given query. Secondly, we present a new ranking strategy to compute similarities between the query and the candidate answers, and refine the candidate answers by a matching algorithm proposed in this paper. Finally, we rank refined candidate answers to obtain top-N results. The experiments are conducted using a real dataset, and the experimental results show that our method is efficient and effective. © 2010 IEEE.

关键词： Search engines

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Layout identification of printed mathematical formula for recognition

Layout identification of printed mathematical formula for re...

引用

International Conference on Information Engineering and computer Science

作者： Tian, Xue-Dong Zhao, Yan Wang, Hui Wang, Qiang-Jun College of Mathematics and Computer Science Hebei University Baoding China Hebei Key Laboratory of Machine Learning and Computational Intelligence Baoding China Baoding Senior Technical College Baoding China College of Literature Hebei University Baoding China

ISBN: (纸本)9781424479412

Printed mathematical formulas edited by different soft wares have some obvious differences. To distinguish it before recognition is beneficial to the formula recognition. Based on the statistical analysis to the characteristics of Latex and Word typesetting, an algorithm is designed to identify Latex and Word layout of printed formulas. The experiment indicates that this algorithm can achieve a relative high accuracy to standard printed documents. ©2010 IEEE.

关键词： Latexes

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