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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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The quotient structure in granule computing

The quotient structure in granule computing

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IEEE International Conference on Granular computing (GRC)

作者： Shu Zhao Yan-ping Zhang Ling Zhang Jie Chen Zhong Wan Ying-chun Zhang Chen-xi Zhang Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Anhui University Hefei China

The theory of granule computing based on the quotient space is one of the three main granule computing theories. The emphasis is on the structure of the quotient space theory in this paper. Comparing with rough set theory, the authors point out the importance of the structure in granule computing theory. A new method of constructing quotient space according to the structure is also presented in this paper. The differences between the quotient structure and structure-based method are proved. Finally, some examples show the rationality and feasibility of our methods.

关键词： Artificial intelligence Set theory Problem-solving Humans Switches Cognitive science Expert systems Switching circuits Technological innovation signal processing

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Online infomax algorithm and its application to remove EEG artifacts

Online infomax algorithm and its application to remove EEG a...

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2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005

作者： Xiaopei, Wu Zhongfu, Ye Schoo1 of Information Science and Technology University of Science and Technology of China Hefei 230026 Anhui province China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 Anhui province China

ISBN: (纸本)0780387406

A online infomax algorithm is proposed in this paper. The performances and properties of this online algorithm is investigated in detail. To the problem of the artifacts removal in real life EEG signal, both the online-and batch infomax algorithm are applied and compared. The experiment results show that the online infomax algorithm proposed in this paper has the good performance both in artifacts removal and convergence in time-varying mixing system. © 2005 IEEE.

关键词： Algorithms

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Generalizing quotient space theory from structural viewpoint

Generalizing quotient space theory from structural viewpoint

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IEEE International Conference on Granular computing (GRC)

作者： W.L. Chen J.X. Cheng Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University of Science and Technology Hefei Anhui China

Quotient space theory of problem solving, a formal model of granular computing, is generalized in the sense that topological structure is replaced by Cech's closure space. Some basic issues of granular computing, such as the representation of real world at different levels of granularity, property preserving and the construction of granular world, are discussed in detail. It turns out that most of conclusions of the classical quotient space theory keep being valid, so intension and applicable fields are enriched and enlarged respectively.

关键词： Problem-solving Topology signal processing Set theory Humans Artificial intelligence Processor scheduling Path planning Lattices intelligent structures

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Semi-order structure fusion model of quotient spaces under the condition of inconsistency information

Semi-order structure fusion model of quotient spaces under t...

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IEEE International Conference on Granular computing (GRC)

作者： Hongbin Fang Ling Zhang Department of Mathematics Anhui University Hefei China Department of Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Institute of Artificial Intelligence Anhui University Hefei China

The quotient space theory obtains a fusion model about semi-order structure under the condition of consistency information, harnessing topology relation among elements of the universe space and hierarchical structure. It has great significance to forming a unified theory structure about information fusion technology. This paper gets a new semi-order structure fusion model under the condition of inconsistency information and proves incompleteness of its semi-order lattice . An example is presented in the paper at last as well as a new method is indicated for Bayesian network structure learning.

关键词： Space technology Laboratories signal processing Lattices Bayesian methods Network topology Fuzzy set theory Entropy Cognition Concrete

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A note on equicontinuous maps of graph space

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Journal of Chongqing University 2005年第2期4卷 121-124页

作者：乔宗敏 Key Laboratory of intelligent Computing and Signal Processing of Ministry of Education Anhui UniversityHefei 230039 P.R. China Department of Mathematics Anhui Educational Institute Hefei 230061 P.R. China

Let G be a graph and f: G→ G be a continuous map with at least one periodic point. Using the quote space method, the paper addresses that f is an equicontinuous map if and only if one of the following End(G)+2k+1 conditions holds: 1) {f jm(End(G)+2k)!}∞j=1 is uniformly convergent, in which m=1,2,…, End(G)+2k; and 2) There is a positive integer n esuring that {f jn}∞j=1 is uniformly convergent.

关键词： graph equcontinuous map quotient space uniformly convergent

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Greedy EM algorithm for robust t-mixture modeling

Greedy EM algorithm for robust t-mixture modeling

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International Conference on Image and Graphics (ICIG)

作者： Sibao Chen Haixian Wang Bin Luo Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Anhui University Hefei China

This paper concerns a greedy EM algorithm for t-mixture modeling, which is more robust than Gaussian mixture modeling when a typical points exist or the set of data has heavy tail. Local Kullback divergence is used to determine how to insert new component. The greedy algorithm obviates the complicated initialization. The results are comparable to that of split-and-merge EM algorithm while the proposed algorithm is faster. Also the by product of a sequence of mixture models is useful for model selection. Experiments of synthetic data clustering and unsupervised color image segmentation are given.

关键词： Robustness signal processing algorithms Clustering algorithms Tail Greedy algorithms Convergence Gaussian distribution Color Image segmentation Probability distribution

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A new algorithm for 3D projective reconstruction based on infinite homography

A new algorithm for 3D projective reconstruction based on in...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Quan-Bing Zhang Hai-Xian Wang Sui Wei Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei China

ISBN: (纸本)0780378652

This paper investigates the problem of how to carry out 3D scene reconstruction from multiple views. It improves the algorithms of projective reconstruction based on the homography induced by the infinite plane which should have 4 points on a reference plane visible in all views given by Hartley and Rother et al., and proposes a new linear algorithm based on 3 points on a reference plane visible in all views. It avoids the difficult task of determining whether 4 object points are coplanar or not, because 3 points which are not collinear just determine a plane.

关键词： Image reconstruction Cameras signal processing algorithms Layout Transmission line matrix methods Inverse problems Gold Measurement standards Maximum likelihood estimation Position measurement

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Mental EEG analysis based on independent component analysis

Mental EEG analysis based on independent component analysis

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International Symposium on Image and signal processing and Analysis

作者： Xiaopei Wu Xiaojing Guo The Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University China

ISBN: (纸本)953184061X

The patterns of EEG changes with the mental tasks performed by the subject. In the field of EEG signal analysis and application, the study to get the patterns of mental EEG and then to use them to classify mental tasks has the significant scientific meaning and great application value. But for the reasons of different artifacts contained in EEG, the pattern detection in EEG produced from normal mental states is a very difficult problem. In this paper, independent component analysis is applied to EEG signals collected from different mental tasks .The experiment results show that when one subject performs a single mental task in different trails, the independent components of EEG are very similar. It means that the independent components can be used as the mental EEG patterns to classify the different mental tasks.

关键词： Independent component analysis Electroencephalography signal processing signal processing algorithms Bioelectric phenomena Biomedical signal processing signal analysis Humans Electric potential Brain modeling

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A self-adjusting and probabilistic decision-making classifier based on the constructive covering algorithm in neural networks

A self-adjusting and probabilistic decision-making classifie...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Yan-Ping Zhang Tao Wu Ling Zhang Ministry of Education Key Laboratory of Intelligent computing & Signal Processing Anhui University Hefei China

ISBN: (纸本)0780375084

It usually needs complicated nonlinear operations to get the characteristics from the raw information inputted, and it is very difficult to find this kind of algorithm directly. The geometrical meaning of the multilayer perceptron's neuron model indicates that classifying samples according to the requirements by constructing neural networks is equal to finding a collection of domains with which vectors of the preset sample sets are partitioned. But in some applications, such as time series forecasting including stock share forecasting, due to their preset sample sets may contain some exceptions and erroneous results, it is desired to introduce some self-adjusting and probabilistic decision-making mechanism to enhance the accuracy of classification. At the same time the mechanism can reduce the size of neural networks and speed up the recognition process. We discuss a self-adjusting and probabilistic decision-making mechanism for the covering algorithm. Based on the method, we developed a self-adjusting and probabilistic decision-making classifier and applied the software package to forecast the share index of Shanghai's stock market.

关键词： Decision making intelligent networks Neural networks signal processing algorithms Support vector machines Neurons Solid modeling Stock markets Kernel Economic forecasting

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