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2011 7th International Conference on Natural computation, ICNC 2011

作者： Li, Dao-Lun Zha, Wen-Shu Lu, De-Tang Department of Modern Mechanics University of Science and Technology of China China Key Laboratory of Software in Computing and Communication of Anhui Province University of Science and Technology of China Hefei 230027 China

ISBN: (纸本)9781424499533

Time vector series abound in many fields, which are different from time series. Based on mapping and implicit function interpolation, the method of implicit interpolation over time vector series is developed and studied. Time vector series are mapped into a sequence of closed curves or surfaces, which are seen as the interpolation data set. Based on the interpolation data set, the implicit interpolation function is constructed and from which an isoline is drawn. The inverse mapping of the isoline is the prediction of vector series at the new time. Based on the well logging data an application is given to predict the unknown isotope logging data of year 2004 with the known data of year 2003 and 2005 which shows the performance of the method. © 2011 IEEE.

关键词： Mapping

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Accelerating vehicle detection in low-altitude airborne urban video

Accelerating vehicle detection in low-altitude airborne urba...

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International Conference on Image and Graphics

作者： Cao, Xianbin Lin, Renjun Yan, Pingkun Li, Xuelong Anhui Province Key Laboratory of Software In Computing and Communication School of Computer Science and Technology University of Science and Technology of China Hefei 230027 Anhui China Xi'an Institute of Optics and Precision Mechanics Chinese Academy of Sciences Xi'an 710119 Shaanxi China

ISBN: (纸本)9780769545417

The limitation of the existing methods of traffic data collection is that they rely on techniques that are strictly local in nature. The airborne system in unmanned aircrafts provides the advantages of wider view angle and higher mobility. However, detecting vehicles in airborne videos is a challenging task because of the scene complexity and platform movement. Most of the techniques used in stationary platforms cannot perform well in this situation. A new and efficient method based on Bayes model is proposed in this paper. This method can be divided into two stages, attention focus extraction and vehicle classification. Experimental results demonstrated that, compared with other representative algorithms, our method obtained better performance with higher detection rate, lower false positive rate and faster detection speed. © 2011 IEEE.

关键词： Extraction

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KLT feature based vehicle detection and tracking in airborne videos

KLT feature based vehicle detection and tracking in airborne...

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International Conference on Image and Graphics

作者： Cao, Xianbin Lan, Jinhe Yan, Pingkun Li, Xuelong Anhui Province Key Laboratory of Software In Computing and Communication School of Computer Science and Technology University of Science and Technology of China Hefei 230027 Anhui China Xi'an Institute of Optics and Precision Mechanics Chinese Academy of Sciences Xi'an 710119 Shaanxi China

ISBN: (纸本)9780769545417

Airborne vehicle detection and tracking systems equipped on unmanned aerial vehicles (UAVs) are difficult to develop because of factors like UAV motion, scene complexity and so on. In this paper, we propose a new framework of multi-motion layer analysis to detect and track moving vehicles in airborne platform. Moving vehicles are firstly detected by registration and temporal differencing to establish motion layers. After motion layers are constructed, they are maintained over time for tracking vehicles. All vehicles are tracked by maintaining their corresponding motion layers. Our experimental results showed that compared with other previous algorithms, our method can achieve better results in terms of detection and tracking performance. © 2011 IEEE.

关键词： Antennas

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An adaptive strategy for updating the memory in Evolutionary Algorithms for dynamic optimization

An adaptive strategy for updating the memory in Evolutionary...

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IEEE Symposium on computational Intelligence in Dynamic and Uncertain Environments (CIDUE)

作者： Tao Zhu Wenjian Luo Zhifang Li Anhui Key Laboratory of Software Engineering in Computing and Communication University of Science and Technology Hefei Anhui China University of Science and Technology of China Hefei Anhui CN

The memory scheme is one of the most widely employed techniques in Evolutionary Algorithms for solving dynamic optimization problems. The updating strategy is a key concern for the memory scheme. Unfortunately, the existent memory updating strategies neglect the characteristics of the memory updating behaviors, and sometimes this could lead results against the original intention. In this paper, a novel updating strategy is proposed, which can adaptively update the memory according to the characteristics of the memory updating behaviors. Experiments are carried out in different kinds of dynamic environments, and the experimental results show that the proposed strategy is better than the traditional strategies.

关键词： Memory management Heuristic algorithms Optimization Generators Evolutionary computation Associative memory Redundancy

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NURBS model for chaotic time series

NURBS model for chaotic time series

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2011 3rd International Conference on Computer Research and Development, ICCRD 2011

作者： Shao, Chenxi Xiao, Lipeng Department of Computer Science and Technology University of Science and Technology of China Hefei China Department of Modern Physics Nonlinear Science Center University of Science and Technology of China Hefei China Anhui Province Key Laboratory of Software in Computing and Communication Hefei China

ISBN: (纸本)9781612848372

NURBS method is extensively used in the field of Geometric Modeling. Since the original NURBS method does not have time factor, it can not display the huge advantage in the dynamics field. In this article, inspired by the segmented nature of basis functions, we propose a time factor method which can be directly applied in reconstruction of missing data, with remarkable performance in matching the original data. This work does not only give an expression of chaotic time series, but also highlights a possible way for the challenge in reconstruction of missing data. © 2011 IEEE.

关键词： Time series

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Directed differential evolution based on directional derivative for numerical optimization problems

Directed differential evolution based on directional derivat...

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International Conference on Hybrid Intelligent Systems (HIS)

作者： Jun Zhang Wenjian Luo School of Computer Science and Technology University of Science and Technology Hefei Anhui China Anhui Province Key Laboratory of Software Engineering in Computing and Communication University of Science and Technology Hefei Anhui China

Differential Evolution is one kind of Evolutionary Algorithms, which has been successfully applied to solve many optimization problems. In this paper, a directed differential mutation (DDM), which utilizes the directional derivative to decide a suitable search direction and a proper mutation step size, is proposed. It is merged into the classical DE to form a new algorithm, named directed differential evolution (DDE). The performance of the DDE is tested on 23 classical problems for numerical optimization. The experimental results demonstrate that the performance of the DDE outperforms the classical DE on most functions.

关键词： Optimization Vectors Equations Hybrid intelligent systems Algorithms Programming Maintenance engineering

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Extended Doo-Sabin surfaces

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Journal of Information and computational Science 2011年第12期8卷 2239-2247页

作者： Huang, Zhangjin Wang, Feng Wang, Guoping School of Computer Science and Technology University of Science and Technology of China China Key Laboratory of Software in Computing and Communication Anhui Province China USTC-SICT Joint Laboratory on Network and Communication China Peking University China School of Electronic Engineering and Computer Science Peking University China

In this paper we propose a modification of quadratic NURSSes called EDSes (Extended Doo-Sabin Surfaces). EDSes inherit the refinement rules for quadratic NURSSes for four-sided faces but use the refinement rules for Doo-Sabin surfaces for faces with other than four sides. Compared to quadratic NURSSes, if all the knot intervals are positive, EDSes always converge to G1 continuous limit surfaces with closed-form limit point as well as limit normal rules. 1548-7741/Copyright © 2011 Binary Information Press.

关键词： Information systems

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The framework of applying vertex coloring method to identify genes associated with Alzheimer's diseases basing on gene expression

The framework of applying vertex coloring method to identify...

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IEEE International Conference on Granular Computing (GRC)

作者： Ben-Qiong Hu Jiang-Lin Zhou Xu Li Chao-Yang Pang College of Management Science Chengdu University of Technology Chengdu China Department of mathematics & physics He fei university Anhui China Group of Gene Computation College of Mathematics and Software Science Sichuan Normal University Chengdu China Group of Gene Computation Key Laboratory of Visual Computation and Virtual Reality of Sichuan Chengdu China

Alzheimer's disease (AD) is the most common form of dementia. One of the research topics is to identify the genes associated with AD through analyzing DNA microarray data by computation. Holding view of vertex coloring of graph theory, in this paper, a new clustering method named vertex coloring clustering (VCC) is presented. VCC is specified for gene clustering, which makes similar gene expression cluster tightly in same class and they share same gene characteristics or function. So, VCC can be also used to identify the genes associated with AD. Using VCC, 27 candidate AD genes are identified in this paper, and 5 genes agree with other men's study.

关键词： Alzheimer's disease Image color analysis Gene expression Clustering algorithms Proteins Educational institutions

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Accelerating Vehicle Detection in Low-Altitude Airborne Urban Video

Accelerating Vehicle Detection in Low-Altitude Airborne Urba...

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International Conference on Image and Graphics (ICIG)

作者： Xianbin Cao Renjun Lin Pingkun Yan Xuelong Li Anhui Province Key Laboratory of Software in Computing and Communication School of Computer Science and Technology University of Science and Technology Hefei Anhui China Center of OPTical IMagery Analysis and Learning (OPTIMAL) State Key Laboratory of Transient Optics and Photonics Xi'an Institute of Optics and Precision Mechanics Chinese Academy and Sciences Xi'an Shaanxi China

关键词： Vehicles Feature extraction Vehicle detection Road transportation Cameras Atmospheric modeling Classification algorithms

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KLT Feature Based Vehicle Detection and Tracking in Airborne Videos

KLT Feature Based Vehicle Detection and Tracking in Airborne...

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International Conference on Image and Graphics (ICIG)

作者： Xianbin Cao Jinhe Lan Pingkun Yan Xuelong Li Anhui Province Key Laboratory of Software in Computing and Communication School of Computer Science and Technology University of Science and Technology Hefei Anhui China Center of OPTical IMagery Analysis and Learning (OPTIMAL) State Key Laboratory of Transient Optics and Photonics Xi'an Institute of Optics and Precision Mechanics Chinese Academy and Sciences Xi'an Shaanxi China

关键词： Vehicles Tracking Videos Feature extraction Vehicle detection Maintenance engineering Motion segmentation

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