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2009 2nd International Congress on Image and Signal Processing, CISP'09

作者： Chao, Xu Fuqiang, Liu Zhipeng, Li Key Laboratory of Embedded System and Service Computing Tongji University Shanghai China

ISBN: (纸本)9781424441310

This paper will present an obstacle detection approach that relies on the three-dimensional information from stereo vision. Concerning real-time response of the system and high accuracy of the reconstructed points, instead of the traditional stereo matching, a new way that combines three-dimensional features with wavelet-based hierarchical technique is proposed to decrease the computational cost and maintain its credibility. The matched points are selected for grouping into objects, based on neighborhood criteria, depth distance and the point density. Our system is able to reliably detect the far distance moving objects and function in real time. ©2009 IEEE.

关键词： Stereo vision

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Counting pedeatrian in crowded subway scene

Counting pedeatrian in crowded subway scene

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2009 2nd International Congress on Image and Signal Processing, CISP'09

作者： Keju, Zu Fuqiang, Liu Zhipeng, Li Key Laboratory of Embedded System and Service Computing Tongji University Shanghai China

ISBN: (纸本)9781424441310

When the high occlusion occurs in crowded scene, face detection is a better substitute for detecting pedestrian. In this paper, we present a novel crowd analysis method based on discriminative descriptor of faces and support vector machine SVM ensemble. Through manipulating the input features in the same sample set, the different input features of faces are extracted to train two SVM classifiers. The classification scores of two generated classifiers are combined adaptively to make a collective decision. The first SVM, as the principal classifier gives out most of face hypotheses, while the second SVM serves as secondary one to rejecting the false positive. We present experiment to test the proposed method in crowded subway video, and the result shows that the SVM ensemble outperforms the single SVM in counting the pedestrian. ©2009 IEEE.

关键词： Face recognition

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SIS model of epidemic spreading on dynamical networks with community

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中国高等学校学术文摘·计算机科学 2009年第3期3卷 361-365页

作者： Chengyi XIA Shiwen SUN Feng RAO Junqing SUN Jinsong WANG Zengqiang CHEN Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System of Ministry of Education Tianjin University of Technology Tianjin 300191 Department of Automation Nankai University Tianjin 300071 China

We present a new epidemic Susceptible-Infected-Susceptible (SIS) model to investigate the spreading behav-ior on networks with dynamical topology and community structure. Individuals in the model are mobile agents who are allowed to perform the inter-community (i.e., long-range) motion with the probability p. The mean-field theory is uti-lized to derive the critical threshold (λ_C) of epidemic spread-ing inside separate communities and the influence of the long-range motion on the epidemic spreading. The results indicate that λ_C is only related with the population density within the community, and the long-range motion will make the original disease-free community become the endemic state. Large-scale numerical simulations also demonstrate the theoretical approximations based on our new epidemic model. The current model and analysis will help us to fur-ther understand the propagation behavior of real epidemics taking place on social networks.

关键词： Susceptible-Infected-Susceptible (SIS) model disease propagation complex network dynamical topology community behavior

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Multiscale modeling for classification of SAR imagery using hybrid EM algorithm and genetic algorithm

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Progress in Natural Science:Materials International 2009年第8期19卷 1033-1036页

作者： Xianbin Wen a,b, Hua Zhang a,b, Jianguang Zhang a,b, Xu Jiao a,b, Lei Wang a,b a Tianjin key laboratory of Intelligence computing and Novel Software technology, Tianjin University of technology, Tianjin 300191, China b key laboratory of Computer Vision and system (Tianjin University of technology), Ministry of Education, Tianjin 300191, China [a]Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China [b]Key Laboratory of Computer Vision and System (Tianjin University of Technology) Ministry of Education Tianjin 300191 China

A novel method that hybridizes genetic algorithm (GA) and expectation maximization (EM) algorithm for the classification of synthetic aperture radar (SAR) imagery is proposed by the finite Gaussian mixtures model (GMM) and multiscale autoregressive (MAR) model. This algorithm is capable of improving the global optimality and consistency of the classification performance. The experiments on the SAR images show that the proposed algorithm outperforms the standard EM method significantly in classification accuracy.

关键词： SAR imagery Classification Multiscale Hybrid EM algorithm Genetic algorithm

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Integrating image clustering and memory indexing for large scale content-based image retrieval

Integrating image clustering and memory indexing for large s...

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MIPPR 2009 - Remote Sensing and GIS Data Processing and Other Applications: 6th International Symposium on Multispectral Image Processing and Pattern Recognition

作者： Tao, Wenbing Jin, Hai Luo, Feng Wu, Kun Service Computing Technology and System Laboratory School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9780819478092

Content-Based Image Retrieval (CBIR) is an important research topic of information retrieval, involved in computer graphics, image processing, data mining and pattern recognizing. To make content-based image retrieval suitable large-scale image database, we develop an effective dynamic hierarchical clustering index scheme. Although this system uses a hierarchical clustering technology, with the increasing in the number of cluster centers, it is slow to find the centers, and it becomes a system performance bottleneck. In this paper, content features of image memory indexing is built. This method effectively improves the retrieval speed without loss of the precision. Moreover, the clustering model was improved, integrating the content features and textual features of image, which greatly improve the accuracy of the clustering, thus significantly improves the system precision. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Data mining

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Survey of locomotion control of legged robots inspired by biological concept

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Science in China(Series F) 2009年第10期52卷 1715-1729页

作者： WUQiDi LIU ChengJu ZHANG JiaQi CHEN QiJun School of Electronics and Information Engineering Tongji University Shanghai 201804 China The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China

Compared with wheeled mobile robots, legged robots can easily step over obstacles and walk through rugged ground. They have more flexible bodies and therefore, can deal with complex environment. Nevertheless, some other issues make the locomotion control of legged robots a much complicated task, such as the redundant degree of freedoms and balance keeping. From literatures, locomotion control has been solved mainly based on programming mechanism. To use this method, walking trajectories for each leg and the gaits have to be designed, and the adaptability to an unknown environment cannot be guaranteed. From another aspect, studying and simulating animals＇ walking mechanism for engineering application is an efficient way to break the bottleneck of locomotion control for legged robots. This has attracted more and more attentions. Inspired by central pattern generator （CPG）, a control method has been proved to be a successful attempt within this scope. In this paper, we will review the biological mechanism, the existence evidences, and the network properties of CPG. From the en- gineering perspective, we will introduce the engineering simulation of CPG, the property analysis, and the research progress of CPG inspired control method in locomotion control of legged robots. Then, in our research, we will further discuss on existing problems, hot issues, and future research directions in this field.

关键词： biological inspired control central pattern generator (CPG) locomotion control

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A parallel algorithm for computing betweenness centrality

A parallel algorithm for computing betweenness centrality

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38th International Conference on Parallel Processing, ICPP-2009

作者： Tan, Guangming Tu, Dengbiao Sun, Ninghui Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Science Beijing China

ISBN: (纸本)9780769538020

In this paper we present a multi-grained parallel algorithm for computing betweenness centrality, which is extensively used in large-scale network analysis. Our method is based on a novel algorithmic handling of access conflicts for a CREW PRAM algorithm. We propose a proper data-processor mapping, a novel edge-numbering strategy and a new triple array data structure recording the shortest path for eliminating conflicts to access the shared memory. The algorithm requires O(n + m) space and O(nm/p ) ( or O(nm+n2logn /p )) time for unweighted (or weighted) graphs, and it is a work-optimal CREW PRAM algorithm. On current multi-core platforms, our algorithm outperforms the previous algorithm by 2-3 times. © 2009 IEEE.

关键词： Parallel algorithms

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Software and hardware cooperate for 1-D FFT algorithm optimization on multicore processors

Software and hardware cooperate for 1-D FFT algorithm optimi...

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IEEE 9th International Conference on Computer and Information technology, CIT 2009

作者： Zhou, Yongbin Zhang, Junchao Fan, Dongrui Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9780769538365

Multicore architecture is becoming a promise to keep Moore's Law and brings a revolution in both research and industry which results new design space for software and architecture. Fast Fourier Transform (FFT), computing intensive and bandwidth intensive, is one of the most popular and important applications in the world. Compared with the computing resource on multicore architecture, the on-chip memory resource is much more expensive because of the limitation of physical chip size. Efficient implementation of FFT algorithm on multicore with good scalability is a challenge for both software and hardware developers. In this paper, supported by the Godson-T architecture, an optimized implementation of 1-D FFT has been developed with matrix transpose conceal and computation/communication overlapping, which achieve more than 30% performance improvement as well as almost 1/3 L2 cache consumption reduce comparing with the base six-step FFT. The limitation of scalability is also analyzed and the conclusion is that on Godson-T when frequency and simultaneous data access happen, the limited access bandwidth of L2 cache is the bottleneck and result in the longer on-chip network latency. © 2009 IEEE.

关键词： Fast Fourier transforms

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Snooping and ordering ring - An efficient cache coherence protocol for ring connected CMP

Snooping and ordering ring - An efficient cache coherence pr...

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15th International Conference on Parallel and Distributed systems, ICPADS '09

作者： Cao, Fei Liu, Zhiyong Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Science Beijing China

ISBN: (纸本)9780769539003

Ring is a promising on-chip interconnection for CMP. It is more scalable than bus and much simpler than packet-switched networks. The ordering property of ring can be used to optimize cache coherence protocol design. Existing ring protocols, such as the snooping ring protocol and the ring-order protocol need a retry and acknowledgement scheme or use the ordering property of the ring respectively to resolve conflict memory requests. A cache coherence protocol named SOR (Snooping and Ordering Ring) is developed for ring connected CMP in this paper. This protocol is based on the snooping ring protocol. But instead of using the acknowledgement and retry scheme, it uses the ordering property of the ring to resolve conflicts, thus can avoid unnecessary retries to improve performance and power efficiency. The L1 snooping results are sent with the requests instead of being delayed, so that many useless snoops can be avoided. Simulation result shows that the average probe slot transports and snoop operations can be reduced by SOR are 47% and 48.9%. The average and maximum performance improvements by SOR are 3.33% and 6%. © 2009 IEEE.

关键词： Packet switching

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PARBLO:Page-Allocation-Based DRAM Row Buffer Locality Optimization

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Journal of Computer Science & technology 2009年第6期24卷 1086-1097页

作者：米伟冯晓兵贾耀仓陈莉薛京灵 Key Laboratory of Computer System and Architecture Institution of Computing Technology Chinese Academy of Sciences Graduate University of Chinese Academy of Sciences Programming Languages and Compilers Group School of Computer Science and Engineering University of New South Wales

DRAM row buffer conflicts can increase memory access latency significantly. This paper presents a new pageallocation-based optimization that works seamlessly together with some existing hardware and software optimizations to eliminate significantly more row buffer conflicts. Validation in simulation using a set of selected scientific and engineering benchmarks against a few representative memory controller optimizations shows that our method can reduce row buffer miss rates by up to 76% （with an average of 37.4%）. This reduction in row buffer miss rates will be translated into performance speedups by up to 15% （with an average of 5%）.

关键词： DRAM row buffer page allocation locality optimization

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