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Classification Algorithm of Land Quality Based on PLS

Classification Algorithm of Land Quality Based on PLS

引用

World Congress on intelligent Control and Automation (WCICA)

作者： Shifei Ding Zhongzhi Shi Yong Liang College of Information Science and Engineering Shandong Agricultural University Taian China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

Based on modeling idea of partial least squares (PLS) and divided the values of response variable into two classes denoted by 0 and 1, a novel classification algorithm of land quality is set up in this paper. Firstly, the algorithms of multiple linear regression (MLR) and principal component regression (PCR) are introduced and analysed their shortages. Then on the basis of modeling idea of PLS, the classification algorithm of land quality is constructed. The experiment shows that the PLS algorithm doesn't request distribution of the data, and has best classification pattern ability compared with the algorithms of MLR and PCR. It has more advantages than MLR, PCR, such as simplicity and robustness, clearly qualitative explanation. It is powerful for multicollinearity, particularly when the number of predictor variables is large and the sample size is small, and provides a novel research method for classification of land quality

关键词： Classification algorithms Least squares methods Electronic mail Linear regression Principal component analysis Educational institutions information science Agricultural engineering Laboratories information processing

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Classification algorithm of land quality based on PLS

Classification algorithm of land quality based on PLS

引用

6th World Congress on intelligent Control and Automation, WCICA 2006

作者： Shifei, Ding Zhongzhi, Shi Yong, Liang College of Information Science and Engineering Shandong Agricultural University Taian 271018 Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080

ISBN: (纸本)1424403324

Based on modeling idea of partial least squares (PLS) and divided the values of response variable into two classes denoted by 0 and 1, a novel classification algorithm of land quality is set up in this paper. Firstly, the algorithms of multiple linear regression (MLR) and principal component regression (PCR) are introduced and analysed their shortages. Then on the basis of modeling idea of PLS, the classification algorithm of land quality is constructed. The experiment shows that the PLS algorithm doesn't request distribution of the data, and has best classification pattern ability compared with the algorithms of MLR and PCR It has more advantages than MLR, PCR, such as simplicity and robustness, clearly qualitative explanation. It is powerful for multicollinearity, particularly when the number of predictor variables is large and the sample size is small, and provides a novel research method for classification of land quality. © 2006 IEEE.

关键词： Image quality

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Context Optimization of AI planning for Services Composition

Context Optimization of AI planning for Services Composition

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IEEE International Conference on e-Business Engineering (ICEBE)

作者： Lirong Qiu Zhongzhi Shi Fen Lin Graduate School of Chinese Academy of Sciences Beijing China Institute of Computing Technology Key Laboratory of Intelligent Information Processing Chinese Academy and Sciences Beijing China

Web services composition techniques are gaining momentum as the opportunity to establish reusable and versatile inter-operability applications. Many researchers propose their composition approach based on planning techniques. We propose our context aware planning method which comprises global planning and local optimization based on context information. The major technical contributions of this paper are: (1) we propose an ontology-based framework for the context-aware composition of Web services. Context model, which are structured based on OWL-S, captures the service-related, environment-related, and user-related context and can be used in an unambiguous, machine interpretable form. (2) We propose context-aware plan architecture and thus is more scalability and flexibility for the planning process, and thereby improving the efficiency and precision. (3) We propose a hybrid approach to build a plan corresponding to a context-aware service composition, based on global planning and local optimization, considering both the usability and adoption. We test our approach on a simple, yet realistic example, and the preliminary results demonstrate that our implementation provides a practical solution

关键词： Context-aware services Artificial intelligence Web services Context awareness Process planning Optimization methods Ontologies Context modeling Scalability Usability

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Mean-shift blob tracking with adaptive feature selection and scale adaptation

Mean-shift blob tracking with adaptive feature selection and...

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14th IEEE International Conference on Image processing, ICIP 2007

作者： Dawei, Liang Qingming, Huang Shuqiang, Jiang Hongxun, Yao Wen, Gao School of Computer Science and Technology Harbin Institute of Technology Harbin 150001 China Graduate School Chinese Academy of Sciences Beijing 100080 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Institute of Digital Media Peking University Beijing 100871 China

ISBN: (纸本)1424414377

When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we propose a method to embed adaptive feature selection into mean shift tracking framework. From a feature set, the most discriminative features are selected after ranking these features based on their Bayes error rates, which are estimated from object and background samples. For the selected features, a criterion is proposed to evaluate their stability for tracking and to guide feature reselection. The selected features are used to generate a weight image, in which mean shift is employed to locate the object. Moreover, a simple yet effective scale adaptation method is proposed to deal with object changing in size. Experiments on several video sequences show the effectiveness of the proposed method. ©2007 IEEE.

关键词： Feature Selection

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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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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Xiaopei Wu Zhongfu Ye School of Information Science and Technology University of Science and Technology Hefei Anhui China The Key Laboratory of Intelligent Computing & Signal Processing Anhui University Hefei Anhui China

An 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

关键词： Electroencephalography Signal processing algorithms Independent component analysis Equations Electrocardiography Gaussian processes World Wide Web Biology computing Biomedical engineering Biomedical signal processing

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3D gait recognition using multiple cameras

3D gait recognition using multiple cameras

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International Conference on Automatic Face and Gesture Recognition

作者： Guoying Zhao Guoyi Liu Hua Li M. Pietikainen Machine Vision Group Infotech Oulu and Department of Electrical and Information Engineering University of Oulu Finland Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

Gait recognition is used to identify individuals in image sequences by the way they walk. Nearly all of the approaches proposed for gait recognition are 2D methods based on analyzing image sequences captured by a single camera. In this paper, video sequences captured by multiple cameras are used as input, and then a human 3D model is set up. The motion is tracked by applying a local optimization algorithm. The lengths of key segments are extracted as static parameters, and the motion trajectories of lower limbs are used as dynamic features. Finally, linear time normalization is exploited for matching and recognition. The proposed method based on 3D tracking and recognition is robust to the changes of viewpoints. Moreover, better results are achieved for sequences containing difficult surface variations than with 2D methods, which prove the efficiency of our algorithm

关键词： Cameras Image recognition Image sequences Image analysis Image sequence analysis Video sequences Humans Tracking Image segmentation Robustness

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Automatic Recognition of Noisy Code-39 Barcode

Automatic Recognition of Noisy Code-39 Barcode

引用

International Conference on Artificial Reality and Telexistence (ICAT)

作者： Xianyong Fang Fuli Wu Bin Luo Haifeng Zhao Peng Wang Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University China College of Information Engineering Zhejiang University of Technology China Motorola China Electronics Limited Corporation China

Barcode has been widely applied in the modern world. This paper presents a fast and robust recognition method of noisy code 39 barcode. The proposed method can be divided into two steps: search and decoding. In the first step, all asterisks in the image are found with evenly defined scan lines and then those with the same directions are matched together to get a valid barcode region. In the second step, a local denoise method is first applied to eliminate noise in the barcode region and then a middle band filter is used to decode the barcode. Our method is simple in comparison with former methods and experimental results show that it is efficient for fast barcode recognition on noisy images.

关键词： Decoding Bars Image edge detection Robustness Equations Low pass filters Signal processing Educational institutions Educational technology Image recognition

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information CLASSIFIED RECOGNITION METHOD BASED ON FUZZY CONTROL

INFORMATION CLASSIFIED RECOGNITION METHOD BASED ON FUZZY CON...

引用

2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

作者： SHI-FEI DING ZHONG-ZHI SHI XI-JUN ZHU College of Information Science and Engineering Shandong Agricultural University Taian 271018China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Aca School of Science Qingdao Technological University Qingdao 266033 China

In this paper, an information pattern recognition method based on fuzzy control is set up. On one hand, the modeling method of fuzzy information classified recognition pattern has been established. On the other hand, the data from Qufu City of Shandong Province during 14 years from 1990 to 2003 is processed and analyzed. The average temperature (℃) and rainfall (mm) in April each year are considered as the input of the system, a number of Aphis gossypii Glover (AGG)occurred for the Cotton in high period are considered as the output, Fuzzy information classified recognition pattern is set up in order to recognize the occurrence degree of the *** results of the returning recognition from 1990 to 2003 and the recognition for 2004 are satisfactory.

关键词： Fuzzy control Pattern recognition Classified recognition pattern The Aphis gossypii Glover (AGG)

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Studies on Fuzzy information Measures

Studies on Fuzzy Information Measures

引用

Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

作者： Shifei Ding Zhongzhi Shi Fengxiang Jin College of Information Science and Engineering Shandong Agricultural University Taian 271018 P.R.C Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Aca College of Geo-Information Science and Engineering Shandong University of Science and Technology Q

ISBN: (纸本)9781424404759

Fuzzy information measure is a measure between two pattern vectors in fuzzy circumstance. In this paper, an axiom theory about fuzzy entropy is surveyed, and all kinds of definitions of fuzzy entropy are discussed firstly. And then based on the idea of Shannon information entropy, two concepts of fuzzy joint entropy and fuzzt conditional entropy are proposed and the basic properties of them are given and proved. At last, the classical similarity measures, such as dissimilarity measure (DM) and similarity measure (SM) are studied, and then two new measures, fuzzy absolute information measure (FAIM) and fuzzy relative information measure (FRIM) are set up, which can be a measure between a fuzzy set A and B. So, It provides a new research approach for studies on pattern similarity measure.

关键词： Fuzzy entropy similarity measure fuzzy absolute information measurement (FAMI) fuzzy relative information measurement (FRIM).

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Gait Recognition Using Fractal Scale and Wavelet Moments

Gait Recognition Using Fractal Scale and Wavelet Moments

引用

International Conference on Pattern Recognition

作者： Guoying Zhao Li Cui Hua Li M. Pietikainen Machine Vision Group Infotech Oulu and Department of Electrical and Information Engineering University of Oulu Finland Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China School of Mathematics Science Beijing Normal University Beijing China

Video-based gait recognition is a challenging problem in computer vision. In this paper, fractal scale wavelet analysis is applied to describe and automatically recognize gait. Fractal scale based on wavelet analysis represents the self-similarity of signals, and improves the flexibility of wavelet moments. Optimal wavelets based on generalized multi-resolution analysis are used to improve the recognition rate. Descriptors of fractal scale are translation, scale and rotation invariant. Moreover, a combination of fractal scale and wavelet moments improves the recognition rate. Experiments show that the proposed descriptor is efficient for gait recognition

关键词： Fractals Wavelet analysis Image recognition Signal resolution Image sequences Continuous wavelet transforms Discrete wavelet transforms Wavelet coefficients Machine vision Laboratories

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