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检索条件"机构=Intelligent Systems Laboratory Department of Computer Science and Software Engineering"

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An improved super-resolution with manifold learning and histogram matching

引用

International Conference on Biometrics, ICB 2006

作者： Chan, Tak Ming Zhang, Junping Shanghai Key Laboratory of Intelligent Information Processing Department of Computer Science and Engineering Fudan University 200433 China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)3540311114

Biometric Person Authentication such as face, fingerprint, palmprint and signature depends on the quality of image processing. When it needs to be done under a low-resolution image, the accuracy will be impaired. So how to recover the lost information from down-sampled images is important for both authentication and preprocessing. Based on Super-Resolution through Neighbor Embedding algorithm and histogram matching, we propose an improved super-resolution approach to choose more reasonable training images. First, the training image are selected by histogram matching. Second, neighbor embedding algorithm is employed to recover the high-resolution image. Experiments in several images show that our improved super-resolution approach is promising for potential applications such as low-resolution mobile phone or CCTV (Closed Circuit Television) image person authentication. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Pattern matching

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Applications of homomorphic functions to software obfuscation

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International Workshop on Intelligence and Security Informatics, WISI 2006

作者： Zhu, William Thomborson, Clark Wang, Fei-Yue Computer Science Department University of Auckland Auckland New Zealand Key Laboratory of Complex Systems and Intelligent Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China Systems and Industrial Engineering Department University of Arizona Tucson AZ 85721 United States

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Classification with the hybrid of manifold learning and gabor wavelet

Classification with the hybrid of manifold learning and gabo...

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3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks

作者： Zhang, Junping Shen, Chao Feng, Jufu Shanghai Key Laboratory of Intelligent Information Processing Department of Computer Science and Engineering Fudan University Shanghai 200433 China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China National Key Laboratory for Machine Perception School of Electronics Engineering and Computer Science Peking University Beijing 100871 China

ISBN: (纸本)354034439X

While manifold learning algorithms can discover intrinsic low-dimensional manifold embedded in the high-dimensional Euclidean space, the discriminant ability of the low-dimensional subspaces obtained by the algorithms is often lower than those obtained by the conventional dimensionality reduction approaches. Furthermore, the original feature vectors may include redundancy such as high-order correlation which cannot be removed by manifold learning algorithms. To address the two problems, we first employ Gabor wavelet to remove intrinsic redundancies of images and obtain a set of over-completed feature vectors. Then a supervised manifold learning algorithm (ULLELDA) is applied to project Gabor-based data and out-of-the-samples into a common low-dimensional subspace. Experiments in two FERET face databases indicate that Gabors indeed help supervised manifold learning to remarkably improve the discriminant ability of low-dimensional subspaces. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Wavelet transforms

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Nonlinear internal model control for hysteresis systems

Nonlinear internal model control for hysteresis systems

引用

2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06

作者： Yonghong, Tan Miyong, Su Laboratory of Intelligent Systems and Control Engineering Guilin University of Electronic Technology Guilin 541004 China Xidian University China Department of Computer Science Guilin University of Electronic Technology Guilin 541004 China

ISBN: (纸本)1424400651

A hybrid model used to approximate hysteresis and creep nonlinear system is proposed. This model is constructed by a weighted superposition of both backlash operators and creep operators. Then, the corresponding inverse models for both hysteresis and creep are developed. Based on the obtained models, a nonlinear internal model control strategy is applied to the control of system with hysteresis and creep nonlinearities. © 2006 IEEE.

关键词： Nonlinear control systems

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A Writer Recognition approach Based on SVM

A Writer Recognition approach Based on SVM

引用

Computational engineering in systems Applications, CESA, IMACS Multiconference on FLAGGED

作者： Zhonghang Yin Peipei Yin Fuchun Sun Haomiao Wu Department of Computer Science and Technology School of Software State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing China

A writer recognition approach based on SVM is proposed in this paper. Above all, the effect of SVM on the writer recognition is also analyzed under the condition of small samples and weak features, and then the improvement of its performance is validated by experiments. Futhermore, in terms of C-SVC, two parameter optimization schemes are put up based on collapse tests plus margin-based bounds and collapse tests plus compression bounds, respectively, their performance are compared, thus the generation performance of the classifier is enhanced

关键词： Support vector machines systems engineering and theory Testing Support vector machine classification Feature extraction Image segmentation Application software Sun computer science intelligent systems

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Geometrical probability covering algorithm

Geometrical probability covering algorithm

引用

2nd International Conference on Fuzzy systems and Knowledge Discovery, FSKD 2005

作者： Zhang, Junping Li, Stan Z. Wang, Jue Shanghai Key Laboratory of Intelligent Information Processing Department of Computer Science and Engineering Fudan University Shanghai 200433 China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)9783540283126

In this paper, we propose a novel classification algorithm, called geometrical probability covering (GPC) algorithm, to improve classification ability. On the basis of geometrical properties of data, the proposed algorithm first forms extended prototypes through computing means of any two prototypes in the same class. Then Gaussian kernel is employed for covering the geometrical structure of data and used as a local probability measurement. By computing the sum of the probabilities that a new sample to be classified to the set of prototypes and extended prototypes, the classified criterion based on the global probability measurement is achieved. The proposed GPC algorithm is simple but powerful, especially, when training samples are sparse and small size. Experiments on several databases show that the proposed algorithm is promising. Also, we explore other potential applications such as outlier removal with the proposed GPC algorithm. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Algorithms

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Policy-based Resource Allocation in Hierarchical Virtual Organizations for Global Grids

Policy-based Resource Allocation in Hierarchical Virtual Org...

引用

International Symposium on computer Architecture and High Performance Computing (SBAC-PAD)

作者： Kyong Hoon Kim Rajkumar Buyya Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia

In previous years, many studies have been conducted on grid computing, in which users and resource providers organize various virtual organizations (VOs) to share resources and services. A VO organizes other sub-VOs for the purpose of achieving the VO goal, which forms the hierarchical VO environment. In this paper, we model and formalize the resource allocation problem in hierarchical VOs. Resource providers and VOs agree upon the VO resource sharing policy, such as resource sharing amount and resource usage cost for VOs. We provide the resource allocation scheme of a VO resource broker to minimize the total cost in order to meet a user's job deadline. In addition, we deal with several cost adjustment methods in resource providers to utilize their resources efficiently in hierarchical VOs

关键词： Resource management Costs Grid computing Processor scheduling Distributed computing Large-scale systems computer networks Authentication Aggregates Laboratories

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Gridscape II: A Customisable and Pluggable Grid Monitoring Portal and its Integration with Google Maps

Gridscape II: A Customisable and Pluggable Grid Monitoring P...

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International Conference on Grid and Cooperative Computing (GCC)

作者： Hussein Gibbins Rajkumar Buyya Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia

Grid computing has emerged as an effective means of facilitating the sharing of distributed heterogeneous resources, enabling collaboration in large scale environments. However, the nature of grid systems coupled with the overabundance and fragmentation of information, makes it difficult to monitor resources, services, and computations in order to plan and make decisions. In this paper we present Gridscape II, a customisable portal component that can be used on its own or plugged-in to compliment existing grid portals. Gridscape II manages the gathering of information from arbitrary, heterogeneous and distributed sources and presents them together seamlessly within a single interface. It also leverages the Google Maps API in order to provide a highly interactive user interface. Gridscape II is simple and easy to use, providing a solution to those users who do not wish to invest heavily in developing their own monitoring portal from scratch, and also for those users who want something easy to customise and extend for their specific needs

关键词： Portals Grid computing Information management Middleware Switches Resource management computerized monitoring computer science software engineering Collaborative software

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Managing Risk of Inaccurate Runtime Estimates for Deadline Constrained Job Admission Control in Clusters

Managing Risk of Inaccurate Runtime Estimates for Deadline C...

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International Conference on Parallel Processing (ICPP)

作者： Chee Shin Yeo Rajkumar Buyya Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne VIC Australia

The advent of service-oriented grid computing has resulted in the need for grid resources such as clusters to enforce user-specific service needs and expectations. Service level agreements (SLAs) define conditions which a cluster needs to fulfill for various jobs. An example of SLA requirement is the deadline by which a job has to be completed. In addition, these clusters implement job admission control so that overall service performance does not deteriorate due to accepting exceeding amount of jobs. However, their effectiveness is highly dependent on accurate runtime estimates of jobs. This paper thus examines the adverse impact of inaccurate runtime estimates for deadline constrained job admission control in clusters using the earliest deadline first (EDF) strategy and a deadline-based proportional processor share strategy called Libra. Simulation results show that an enhancement called LibraRisk can manage the risk of inaccurate runtime estimates better than EDF and Libra by considering the risk of deadline delay

关键词： Risk management Admission control Grid computing Runtime library Delay estimation Resource management Quality of service Laboratories computer science software engineering

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COCA: A Contract-Based Infrastructure for Composing Adaptive Multimedia systems

COCA: A Contract-Based Infrastructure for Composing Adaptive...

引用

International Conference on Distributed Computing systems Workshop

作者： Zhinan Zhou P.K. McKinley Software Engineering and Network Systems Laboratory Department of Computer Science and Engineering Michigan State University East Lansing MI USA

Achieving acceptable quality of service in highly dynamic computing environments requires not only adaptation and reconfiguration of individual components of the system, but also collaboration among these components. To address these issues in adaptive multimedia applications, we propose COCA, a contract-based collaborative adaptation infrastructure. COCA uses contract specifications to describe the relationships among different system components, to generate code that realizes adaptive functionality, and to govern system-wide adaptive behavior during execution. COCA also provides a set of reusable adaptation services that enable legacy components to be integrated into an adaptive system. We demonstrate the use of COCA to construct an adaptive multimedia conferencing system from a collection of existing components that were not originally designed for interoperation.

关键词： Adaptive systems Multimedia systems Collaboration Contracts Quality of service Streaming media Application software Forward error correction Middleware Distributed computing

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