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第一届亚洲模式识别会议

作者： Xinyuan Cai Rongguo Zhang Baihua Xiao Chunheng Wang State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automatio State Key Laboratory of Intelligent Control and Management of Complex SystemsInstitute of Automation

ISBN: (纸本)9781457701221

Image-To-Class distance is first proposed in Naive- Bayes Nearest-Neighbor. NBNN is a feature-based image classifier, and can achieve impressive classification accuracy. However, the performance of NBNN relies heavily on the large number of training samples. If using small number of training samples, the performance will degrade. The goal of this paper is to address this issue. The main contribution of this paper is that we propose a robust Image-to-Class distance by local learning. We define the patch-to-class distance as the distance between the input patch to its nearest neighbor in one class, which is reconstructed in the local manifold space;and then our image-toclass distance is the sum of patch-to-class distance. Furthermore, we take advantage of large-margin metric learning framework to obtain a proper Mahalanobis metric for each class. We evaluate the proposed method on four benchmark datasets: Caltech, Corel, Scene13, and Graz. The results show that our defined Image-To-Class Distance is more robust than NBNN and Optimal-NBNN, and by combining with the learned metric for each class, our method can achieve significant improvement over previous reported results on these datasets.

关键词： local learning image-to-class distance large margin metric learning Na(i)ve Bayes Nearest-Neighbor image classification

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Translational offset detection based on far-field intensity for grating tiling

Translational offset detection based on far-field intensity ...

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2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011

作者： Huang, Yanlong Fang, Zaojun Xu, De Tan, Min Xia, Lan State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Laboratory of Shanghai Institute of Laser and Plasma Chinese Academy of Engineering Physics Shanghai China

ISBN: (纸本)9781424481149

The far-field intensity is detected from far-field image to estimate the piston distance between two gratings. The image processing algorithm includes projections along the horizontal and vertical directions, search for each focal spot's centre, feature extraction and intensity computation. Each focal spot's centre can be found with the projections. A self-growing method is used for feature extraction, where the threshold value depends on the gray value of each focal spot's centre. For each focal spot, the sum of gray values within the relevant domain is taken to be its energy intensity. Furthermore, the energy ratio of left and main focal spots (or main and right focal spots) is computed. A formula that expresses the piston distance between two gratings as the function of the energy ratio is fitted with several measured points. Based on this formula, the piston distance is obtained for a new energy-ratio. Finally, the proposed method is verified with a series of experiments. © 2011 IEEE.

关键词： Image processing

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Background Modeling by Exploring Multi-scale Fusion of Texture and Intensity in complex Scenes

Background Modeling by Exploring Multi-scale Fusion of Textu...

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第一届亚洲模式识别会议

作者： Zhong Zhang Wen Zhou Chunheng Wang Baihua Xiao Shuang Liu State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automatio State Key Laboratory of Intelligent Control and Management of Complex SystemsInstitute of Automation

ISBN: (纸本)9781457701221

Background modeling is a fundamental yet challenging issue in video surveillance. Traditional methods usually adopt single feature type to solve the problem, while the performance is usually unsatisfactory when handling complex scenes. In this paper, we propose a multi-scale framework, which combines both texture and intensity feature, to achieve a robust and accurate solution. Our contributions are three folds: first, we provide a multi-scale analysis for the issue;second, for texture feature we propose a novel texture operator named Scale-invariant Centersymmetric Local Ternary Pattern, and a corresponding Pattern Adaptive Kernel Density Estimation technique for its probability estimation;third, we design a Simplified Gaussian Mixture Models for intensity feature. Our method is tested on several complex real world videos with illumination variation, soft shadows and dynamic backgrounds. The experimental results clearly demonstrate that our method is superior to the previous methods.

关键词： background modeling multi-scale fusion texture intensity

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Classification of rotor fault in induction machine using Artificial Neural Networks

Classification of rotor fault in induction machine using Art...

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IEEE SSD International Multi-Conference on systems, Signals and Devices

作者： Aida Drira Nabil Derbel Research unit on Intelligent Control design & Optimization of complex Systems (ICOS) Engineering School of Sfax (ENIS) Sfax Tunisia

In this paper, we have developed a feedforward neural networks to detect and to diagnosis rotor fault on induction motors using stator currents. In the first step, causes and effects of rotor fault have been studied, particularly, the number of broken bars has been considered. Then, in the second step, the number of broken rotor bars has been localized by Artificial Neural Networks (ANN), using the Fast Fourier Transform. Simulation results show that the Neural Network proposed approach presents a good tools for the diagnostic of induction machines.

关键词： Rotors Artificial neural networks Bars Stators Neurons Induction motors Circuit faults

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Polarity shifting: Corpus construction and analysis

Polarity shifting: Corpus construction and analysis

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2011 International Conference on Asian Language Processing, IALP 2011

作者： Zhang, Xiaoqian Li, Shoushan Zhou, Guodong Zhao, Hongxia Natural Language Processing Lab. Soochow University Suzhou China State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9780769545547

Polarity shifting has been a challenge to automatic sentiment classification. In this paper, we create a corpus which consists of polarity-shifted sentences in various kinds of product reviews. In the corpus, both the sentimental words and shifting trigger words are annotated. Furthermore, we analyze all the polarity shifted sentences and categorize them into five categories: opinion-itself, holder, target, time and hypothesis. Experimental study shows the agreement of annotation and the distribution of the five categories of polarity shifting. © 2011 IEEE.

关键词： corpus annotation polarity shifting sentiment classification

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An optimized modeling method based on BPEL4WS

An optimized modeling method based on BPEL4WS

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2011 IEEE International Conference on Service Operations, Logistics and Informatics, SOLI 2011

作者： Liu, Sheng Xiong, Gang Fan, Dong Yao, Jianshi State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Science Beijing 100190 China Chinese People's Liberation Army Beijing 100094 China

ISBN: (纸本)9781457705731

As an efficient business process execution language which supports web services, BPEL4WS is widely supported by the academic and the industrial circles. According to the shortcomings such as number of computer terms, abstract model definition and the complex description of people activity, this paper presents easy-to-use BPEL4WS modeling method and tool which encapsulates computer terms and convert business models to BPEL4WS models directly. In comparison to the other modeling methods, our method cut down the number of modeling elements by more than 85 percent and save the modeling time by 80 percent and accelerate model running by more than 40 percent. Thus it is more appropriate for popularization. © 2011 IEEE.

关键词： Web services

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New method for recognition of circular traffic sign based on radial symmetry and pseudo-zernike moments

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Journal of Beijing Institute of Technology (English Edition) 2011年第4期20卷 520-526页

作者： Fu, Meng-Yin Huang, Yuan-Shui Ma, Hong-Bin Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing 100081 China

Recognizing various traffic signs, especially the popular circular traffic signs, is an essential task for implementing advanced driver assistance system. To recognize circular traffic signs with high accuracy and robustness, a novel approach which uses the so-called improved constrained binary fast radial symmetry (ICBFRS) detector and pseudo-zernike moments based support vector machine (PZM-SVM) classifier is proposed. In the detection stage, the scene image containing the traffic signs will be converted into Lab color space for color segmentation. Then the ICBFRS detector can efficiently capture the position and scale of sign candidates within the scene by detecting the centers of circles. In the classification stage, once the candidates are cropped out of the image, pseudo-zernike moments are adopted to represent the features of extracted pictogram, which are then fed into a support vector machine to classify different traffic signs. Experimental results under different lighting conditions indicate that the proposed method has robust detection effect and high classification accuracy. © Copyright.

关键词： Support vector machines

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Design Of Non-Diagonal controller Using MIMO-QFT Approach Combined With CRONE control:Application To Square System

Design Of Non-Diagonal Controller Using MIMO-QFT Approach Co...

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第五届国际自动控制联合会分数阶导数及其应用会议

作者： Najah Yousfi Pierre Melchior Chokri Rekik Nabil Derbel Alain Oustaloup Research unit on Intelligent Control design & Optimization of complex Systems (ICOS)University of Sfax Sfax Engineering School BP W 3038 Sfax Tunisia. IMS (UMR 5218 CNRS Université Bordeaux 1 - ENSEIRB - ENSCPB)Département LAPS 351 cours de la Liberation B(a)t. A4 - F33405 TALENCE cedex France. IMS (UMR 5218 CNRS Université Bordeaux 1 - ENSEIRB - ENSCPB) Département LAPS 351 cours de la Liberation B(a)t. A4 - F33405 TALENCE cedex France.

To govern perfectly the MIMO(Multi-Input Multi-Output) processes,a fully populated matrix controller has been proposed due to its *** non diagonal quantitative feedback theory approach is used with CRONE control struc... 详细信息

关键词： QFT Design Of Non-Diagonal controller Using MIMO-QFT Approach Combined With CRONE control:Application To Square System controller

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Path Tracking Design Based On Frequency-Band Limited Fractional Differentiator With Speed And Acceleration Input

Path Tracking Design Based On Frequency-Band Limited Fractio...

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第五届国际自动控制联合会分数阶导数及其应用会议

作者： Pierre Melchior Najah Yousfi Chokri Rekik Nabil Derbel Alain Oustaloup IMS (UMR 5218 CNRS Université Bordeaux 1 - ENSEIRB - ENSCPB)Département LAPS 351 cours de la Liberation B(a)t. A4 - F33405 TALENCE cedex France. Research unit on Intelligent Control design & Optimization of complex Systems (ICOS)University of Sfax Sfax Engineering School BP W 3038 Sfax Tunisia. IMS (UMR 5218 CNRS Université Bordeaux 1 - ENSEIRB - ENSCPB) Département LAPS 351 cours de la Liberation B(a)t. A4 - F33405 TALENCE cedex France.

A new approach to path tracking based on fractional prefilter was developed in this *** previous works,this approach based on a Frequency Band Limited Fractional Differentiator(FBLFD)prefilter,with the position contro... 详细信息

关键词： Path Tracking Design Based On Frequency-Band Limited Fractional Differentiator With Speed And Acceleration Input

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Thrust analysis of the undulating ribbon-fin for biomimetic underwater robots

Thrust analysis of the undulating ribbon-fin for biomimetic ...

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International Conference on intelligent control and Information Processing

作者： Wang, Shuo Dong, Xiang Shang, Liu-Ji State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Institute of Intelligent Machines Chinese Academy of Sciences P.O. Box 1130 Hefei City 230031 Anhui Province China

ISBN: (纸本)9781457708145

Biomimetic underwater robots have been paid more and more attention because of high efficiency, high maneuverability and low-noise. The undulating ribbon-fins used by rajiformes and gymnotiformes show better maneuverability than those of other fishes in turbulent water. So the undulating ribbon-fin propulsion is analyzed for biomimetic underwater robot design and optimization in the paper. The geometric model of the ribbon-fin is set up in Cartesian space. The undulating motion of the ribbon-fin is expressed in trigonometric functions. And the ribbon-fin has been divided into many small elements to compute the force acted on the small element. All the forces acted on the elements in one undulating period are summed, and the average thrust for one undulating period of the ribbon-fin is obtained. The simulation results show the influence of several important parameters on the ribbon-fin thrust. And an experimental platform is built and several experiments are carried out. And the difference between the results of simulation and experiment are discussed further. © 2011 IEEE.

关键词： Fins (heat exchange)

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