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LPP/QR for under-sampled image recognition

LPP/QR for under-sampled image recognition

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Si-Bao Chen Hai-Feng Zhao Bin Luo Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Anhui University Hefei China

In this paper, we propose a dimension reduction method of locality preserving projections based on QR-decomposition of training data matrix, namely LPP/QR. It is efficient and effective in under-sampled recognition of image and text data, especially when the number of dimension of data is greater than the number of training samples. Its theoretical foundation is presented. The equivalence between LPP/QR and generalized LPP is induced although LPP/QR is faster than generalized LPP. Several experiments are conducted on Yale face database. High recognition rates show that the algorithm performs better in under-sampled situations.

关键词： Image recognition Principal component analysis Linear discriminant analysis Face detection Training data Scattering Kernel Independent component analysis Laplace equations Signal processing

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Information retrieval from large number of Web sites

Information retrieval from large number of Web sites

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Jian-Shuang Deng Qi-Lun Zheng Hong Peng Department of Computing Science South China University of Technology Guangzhou China

Many Web information retrieval methods are related to special Web sites, for example, the method based on extracting rules and the one based on training page samples. These methods can do well in a Web site but fail in the others without adding new rules or inputting new training pages manually. Furthermore, if the template of the Web site is changed, it has to redesign the extracting rules or re-inputting the training pages. It is hard to be maintained and used to extract information from large number of different Web sites. In the paper, there is a new method that is based on the keywords of a certain topic, instead of rules and training pages. Experimental evaluation on a large of Web pages from different Web sites indicates that this method correctly and automatically extracts the information ignoring which Web sites the pages come from. This method has been applied to the system of intelligent searching and mining of electronic business successfully.

关键词： Information retrieval Data mining machine learning Web pages Programming profession Costs Intelligent systems learning systems Web sites Information resources

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Exact optimization for a class of second order Markov random field via graph cuts

Exact optimization for a class of second order Markov random...

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Zhi-Jun Liao Jie-Yu Zhao Institute of Computer Science and Technology NingBo University NingBo China Institute of Computing Technology Chinese Academy and Sciences Beijing China

Optimization for the maximum a posterior (MAP) estimation of a Markov random field often comes down to a large combinational optimization problem, and the general purpose optimization technology such as simulated annealing requires exponential time in theory and is very slow in practice. In recent years a new method based on graph cuts has been developed to solve this problem. But right now it is restricted to the first order MRF. In this paper we have developed an exact optimization method for a class of second order MRF, which are wildly used in many applications. We consider each term in the posterior energy function separately and then merge them together. We give a detailed construction of the graph in the paper.

关键词： Markov random fields Random variables Computational modeling Simulated annealing Optimization methods Computer science Computer simulation Computer vision Pattern recognition Stochastic processes

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Multiple sequence alignment using minimum spanning tree

Multiple sequence alignment using minimum spanning tree

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Mei-Jie Zhu Gui-Wu Hu Qi-Lun Zheng Hong Peng College of Information South China Agricultural University Guangzhou China College of Computer Science and Engineering South China University of Technology Guangzhou China Department of Mathematics Computational Science Guangdong Business College Guangzhou China

Multiple sequence alignment (MSA) is one of the most important tools in modern biology. The MSA problem is NP-hard; therefore, heuristic approaches are needed to align a large set of data within a reasonable time. In this paper, a new MSA algorithm is proposed. We use a minimum spanning tree (MST) algorithm to construct a guide tree in which the sequences are aligned. The time complexity of our MSA approach is O(n/sup 3/L/sup 2/) (where n is the number of sequences and L is the maximum length of all sequences). The validity of our algorithm has been confirmed by the experimental results.

关键词： Sequences Educational institutions Biology computing Computational biology Computer science Agricultural engineering Mathematics Phylogeny Polymers Clustering algorithms

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Clustering analysis of electric power user based on the similarity degree of load curve

Clustering analysis of electric power user based on the simi...

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Cai-qing Zhang Ting Wang Department of Economic Management North China Electric Power University Baoding China

The form of power load curve is important to demands side managing. The paper studies on the similarity of load curve, and set up the estimating concept on similarity of load curve - similar degree. And it designs clustering analysis method according to similar degree. Using this method the cluster analysis can be carried on the main electric power user in the electric power grid, finding out the users with important influence of regional load curve. So that, it can be directed against user load's different influence with the peak valley disparity of regional load, determine to take different demands side managing measures to it, thus improve the form of regional load curve, optimize the purpose that the power system runs.

关键词： Energy management Power system management Power system analysis computing Power system measurements Power systems Power measurement Power generation economics Design methodology Pattern analysis Shape

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Analysis of sensitivity behavior of Madalines

Analysis of sensitivity behavior of Madalines

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Ying-Feng Wang Xiao-Qin Zeng Yeung Department of Computer Science and Engineering Hohai University HHU Nanjing China Department of Computing Hong Kong Polytechnic University Kowloon Hong Kong China

This paper aims at exploring the behavior of the sensitivity to weight perturbation for an ensemble of Madalines. An analytical formula is derived first for the calculation of the Adalines' sensitivity, and then based on it an algorithm is given for the computation of the Madalines' sensitivity. The efficiency of the computation is verified by computer simulations. By means of the formula and the algorithm, the sensitivity tendency is analyzed with regard to the variation of some parameters, such as the dimension of input, the number of Adalines in a layer and the number of layers. The analysis results show that the dimension of input has little effect on the sensitivity as long as the dimension is sufficient large, while the increases in the number of Adalines in a layer and the number of layers will lead the sensitivity to increase under an upper bound. These tendencies of the Madalines' sensitivity will be useful for designing robust Madalines with appropriate architecture.

关键词： Algorithm design and analysis Artificial neural networks Upper bound Robustness Computer science Computer simulation Sensitivity analysis Neural networks Hypercubes Probability

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Research on DOP-based Chinese parsing

Research on DOP-based Chinese parsing

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Yue-Jie Zhang Tao Zhang Jing-Bo Zhu Tian-Shun Yao Department of Computer Science and Engineering Shanghai Key Laboratory of Intelligent Information Processing Fudan University Shanghai China School of Information Management & Engineering Shanghai University of Finance and Economics Shanghai China School of Information Science and Engineering Northeastern University Shenyang China

This paper presents a Chinese parsing method which takes data-oriented parsing technique as the basic framework and utilizes the similarity-based probability estimate technique. Through the initial selection process, the fragment-combination forms of the input sentence are acquired on the constructed knowledge source including treebank, fragment-bank and fragment-combination-bank. Then by using the similarity-based probability estimate technique, the combination parsing process can be completed successfully. To prove the method efficiency, the knowledge source is constructed on the real-world Chinese corpus, and the other corpus is used as the test set. The experiment results show that every test parameter is satisfied.

关键词： Maximum likelihood estimation Data engineering Testing Humans Distributed computing Computer science Laboratories Information processing Information management Finance

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CPAHR: an concurrency control protocol against hard real-time transactions

CPAHR: an concurrency control protocol against hard real-tim...

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Jia-Lixia Sch. of UFSoft Jiangxi Finance & Econ. Univ. Nanchang China

When a hard real-time transaction conflicts with some un-hard real-time transactions, the traditional concurrency control protocols make the hard real-time transaction prior obtain system resources through enhancing its priority and preemption. They ignore how to deal with confliction between some hard real-time transactions. This paper aims at resolving this problem. It proposes a concurrency control protocol CPaHR. One hard real-time transaction includes some alternatives, an alternative describes one execution routine. Any alternative success means the hard real-time transaction can commit, otherwise. If new hard real-time transaction conflicts with some alternatives of running hard real-time transaction, it aborts these alternatives but the transactions. Our experiment shows that CPaHR can improve success-ratio of hard real-time transactions obviously.

关键词： Concurrency control Protocols Real time systems Database systems Protection Finance Electronic mail Concurrent computing machine learning Cybernetics

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A new approach to feature selection in text classification

A new approach to feature selection in text classification

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Yi Wang Xiao-Jing Wang Chengdu Institute of Computer Application Chinese Academy and Sciences Chengdu China

Text classification is the process of automatically assigning predefined categories to free text, which is very important to information retrieval and many other applications. Of it, the first important thing is to effectively represent a text to characterize it as belonging to a specified category based on its content and thus make the following phase of classifier training and using more effective and efficient regarding to the final classification performance. In this paper, an effective and efficient new method called variance-mean based feature filtering method of feature selection to do feature reduction in the representation phase for text classification is proposed. It keeps the best features, and thus improves the final performance, e.g. macro-f1 to 0.92 and simultaneously decreases the computing time for representing the incoming text waiting to be classified dramatically, which is important because it occurs on line and is time-critical. The effectiveness and efficiency are especially obvious when applied to Chinese language text.

关键词： Text categorization Natural languages Information filtering Information filters machine learning Pattern recognition Indexing Computer applications Electronic mail Information retrieval

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A second-order statistical detection approach with application to Internet anomaly detection

A second-order statistical detection approach with applicati...

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international conference on machine learning and Cybernetics (icmlc)

作者： Shu-Yuan Jin Yeung Xi-Zhao Wang Department of Computing Hong Kong Polytechnic University Hong Kong China College of Mathematics and Computer Science Hebei University Baoding China

Detecting multiple network attacks is essential to intrusion detection, network prevention, security defense and network traffic management. But in today's distributed computer networks, the various and frequent attacks make an effective detection difficult. This paper presents a covariance matrix based second-order statistical method to detect multiple known and unknown network anomalies. The detection method is initially based on the observations of the correlativity changes in typical flooding DoS attacks. It utilizes the difference of covariance matrices among observed samples in the detection. As case studies, extensive experiments are conducted to detect multiple DoS attacks - the prevalent Internet anomalies. The experimental results indicate that the proposed approach achieves high detection rates in detecting multiple known and unknown anomalies.

关键词： Internet Intrusion detection Covariance matrix Telecommunication traffic Statistical analysis Computer crime Application software Computer network management Floods Detection algorithms

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