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A Framework for Error-Tolerant Scheme in Pervasive computing

A Framework for Error-Tolerant Scheme in Pervasive Computing

引用

International Conference on Education technology and Computer, ICETC

作者： Jian-quan Ouyang Dian-xi Shi Bo Ding Xiao Li Huai-min Wang Key Laboratory of Intelligent Computing & Information Processing Ministry of Education Xiangtan University China School of Computer National University of Defense Technology Changsha China

Open and dynamic pervasive computing environments make fault detection and error recovery challenging. In this paper, we present a policy based framework for error-tolerant scheme in pervasive computing. As policy-based scheme can separate the business logic (rules) from the controls (programming code) of the implementations, it is typically more flexible and adaptable than non-policy-based approach. Moreover, the policy mechanism is based on not only event-condition-action rules, but also the-Separation-of-Concerns-principle for easily extensible to support the error recovery scheme.

关键词： Pervasive computing Computer architecture Logic programming Computer science education Educational technology Computer errors Fault detection Prototypes Fault tolerant systems Application software

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A Dynamic Description Logic-Based Formalism for RBAC

A Dynamic Description Logic-Based Formalism for RBAC

引用

International Conference on Computer Sciences and Convergence information technology (ICCIT)

作者： Li Ma Shilong Ma Jianghua Lv Yuefei Sui Department of Computer Science Beihang University Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

ISBN: (纸本)9781424452446

Applications in the open and dynamic environment become more intelligent and complicated. To secure these applications is a big challenge. RBAC model, as a de facto standard in access control field, is widely used in many applications. But the lack of dynamic and formal method to describe RBAC makes the model can't completely adapt to the open and dynamic environment. To solve this problem, we introduce a three level RBAC model which unifies the administrative components, the administrative actions and the regular RBAC components, and also proposes a dynamic description logic, called DDL RBAC , to formalize the three level model. Based on the formal description of RBAC with DDL RBAC , an executable action decision algorithm to guarantee the dynamic consistency of systems is also presented.

关键词： Logic Access control Authorization Data security information security Mathematical model Permission information technology Computer science Laboratories

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Image Reconstruction by Sparse Coding and Selective Attention

Image Reconstruction by Sparse Coding and Selective Attentio...

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Congress on Image and Signal Processing, CISP

作者： Zhiqing Li Zhiping Shi Zhixin Li Zhongzhi Shi College of Information Engineering Xiangtan University Xiangtan China Chinese Academy and Sciences Beijing China The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

Sparse coding theory demonstrates that the neurons in primary visual cortex form a sparse representation of natural scenes in the viewpoint of statistics. In this paper, inspired by the research of selective attention in psychology, we propose a novel self-adaptive algorithm to further reduce the activated variables. The experimental results show that the quality of reconstructed images obtained by our method is satisfying. Moreover, combining selective attention and sparse coding our method evidently decreases the number of coefficients which may be activated and preserves the main information at the same time.

关键词： Image reconstruction Image coding Neurons information processing Layout Vectors Laboratories Computers Codes Statistics

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A novel two-tier Bayesian based method for hair segmentation

A novel two-tier Bayesian based method for hair segmentation

引用

IEEE International Conference on Image Processing

作者： Dan Wang Shiguang Shan Wei Zeng Hongming Zhang Xilin Chen Chinese Academy and Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China NEC Laboratories Beijing China

In this paper, a novel two-tier Bayesian based method is proposed for hair segmentation. In the first tier, we construct a Bayesian model by integrating hair occurrence prior probabilities (HOPP) with a generic hair color model (GHCM) to obtain some reliable hair seed pixels. These initial seeds are further propagated to their neighborhood pixels by utilizing segmentation results of mean shift, to obtain more seeds. In the second tier, all of these selected seeds are used to train a hair-specific Gaussian model, which are combined with HOPP to build the second Bayesian model for pixel classification. Mean shift results are further utilized to remove holes and spread hair regions. The experimental results illustrate the effectiveness of our approach.

关键词： Bayesian methods Hair Image segmentation Content addressable storage Face detection information processing Computers National electric code Diversity reception Pixel

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Learning long term face aging patterns from partially dense aging databases

Learning long term face aging patterns from partially dense ...

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International Conference on Computer Vision (ICCV)

作者： Jinli Suo Xilin Chen Shiguang Shan Wen Gao Key Laboratory of Intelligent Information Processing of CAS Institute for Computing Technology Beijing China Chinese Academy and Sciences China School of Electronic Engineering and Computer Science Peking University China

Studies on face aging are handicapped by lack of long term dense aging sequences for model training. To handle this problem, we propose a new face aging model, which learns long term face aging patterns from partially dense aging databases. The learning strategy is based on two assumptions: (i) short term face aging pattern is relatively simple and is possible to be learned from currently available databases; (ii) long term face aging is a continuous and smooth Markov process. Adopting a compositional face representation, our aging algorithm learns a function-based short term aging model from real aging sequences to infer facial parameters within a short age span. Based on the predefined smoothness criteria between two overlapping short term aging patterns, we concatenate these learned short term aging patterns to build the long term aging patterns. Both the subjective assessment and objective evaluations of synthetic aging sequences validate the effectiveness of the proposed model.

关键词： Aging Databases Biological system modeling Prototypes Face detection Skin Content addressable storage Computer vision Muscles Deformable models

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Modeling latent aspects for automatic image annotation

Modeling latent aspects for automatic image annotation

引用

IEEE International Conference on Image Processing

作者： Zhixin Li Zhiping Shi Zhiqing Li Zhongzhi Shi Chinese Academy and Sciences Beijing China The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Chinese Academy of Sciences Beijing Beijing CN

In this paper, we present an approach based on probabilistic latent semantic analysis (PLSA) to accomplish the tasks of automatic image annotation. In order to model training data precisely, we represent an image as a bag of visual words and employ two PLSA models to capture semantic information from visual and textual modalities respectively. Furthermore, an adaptive learning approach is proposed to combine the aspects learned from both modalities. For each image document, distribution over aspects is fused by different weight in terms of the entropy of its feature distribution. Consequently, the two models are linked with the same distribution over aspects. This structure can predict semantic annotation for an unseen image because it associates visual and textual modalities properly. We compare our approach with several previous approaches on a standard Corel dataset. The experiment results show that our approach performs more effectively and accurately.

关键词： Image retrieval Hidden Markov models Laboratories information processing Computers Image analysis information analysis Training data Entropy Content based retrieval

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Facilitating dynamic web service composition with fine-granularity context management

Facilitating dynamic web service composition with fine-granu...

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IEEE International Conference on Granular computing (GRC)

作者： Wenjia Niu Gang Li Xinghua Yang Xu Han Zhongzhi Shi Chinese Academy of Sciences Beijing Beijing CN School of Information Technology Deakin University VIC Australia Chinese Academy and Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

Context is an important factor for the success of dynamic service composition. Although many context-based AI or workflow approaches have been proposed to support dynamic service composition, there is still an unaddressed issue of the support of fine-granularity context management. In this paper, we propose a granularity-based context model together with an approach to supporting the intelligent context-aware service composing problem. The corresponding case study is provided to show the validity of our approach.

关键词： Web services Context-aware services Artificial intelligence Simple object access protocol Concrete Road transportation technology management Laboratories information processing Computers

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Automatic sports genre categorization and view-type classification over large-scale dataset 09

Automatic sports genre categorization and view-type classifi...

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17th ACM International Conference on Multimedia, MM'09, with Co-located Workshops and Symposiums

作者： Li, Lingfang Zhang, Ning Duan, Ling-Yu Huang, Qingming Du, Jun Guan, Ling Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Ryerson Multimedia Research Laboratory Ryerson University Toronto ON Canada Institute of Digital Media Peking University Beijing 100871 China Graduate University of Chinese Academy of Sciences Beijing 100190 China NEC Research Labs. China Beijing 100084 China

ISBN: (纸本)9781605586083

This paper presents a framework with two automatic tasks targeting large-scale and low quality sports video archives collected from online video streams. The framework is based on the bag of visual-words model using speeded-up robust features (SURF). The first task is sports genre categorization based on hierarchical structure. Following on the second task which is based on automatically obtained genre, views are classified using support vector machines (SVMs). As a consequence, the views classification result can be used in video parsing and highlight extraction. As compared with state-of-the-art methods, our approach is fully automatic as well as domain knowledge free and thus provides a better extensibility. Furthermore, our dataset consists of 14 sport genres with 6850 minutes in total. Both sport genre categorization and view type classification have more than 80% accuracy rates, which validate this framework's robustness and potential in web-based applications. Copyright 2009 ACM.

关键词： Support vector machines

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Sigma Set: A small second order statistical region descriptor

Sigma Set: A small second order statistical region descripto...

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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Xiaopeng Hong Hong Chang Shiguang Shan Xilin Chen Wen Gao School of Computer Science and Technology Harbin Institute of Technology China Institute of Computing Technology Chinese Academy and Sciences China Key Laboratory of Intelligent Information Processing Chinese Academy and Sciences China Institute of Computing Technology Chinese Academy of Sciences China Institute for Digital Media Peking University China

Given an image region of pixels, second order statistics can be used to construct a descriptor for object representation. One example is the covariance matrix descriptor, which shows high discriminative power and good robustness in many computer vision applications. However, operations for the covariance matrix on Riemannian manifolds are usually computationally demanding. This paper proposes a novel second order statistics based region descriptor, named “Sigma Set”, in the form of a small set of vectors, which can be uniquely constructed through Cholesky decomposition on the covariance matrix. Sigma Set is of low dimension, powerful and robust. Moreover, compared with the covariance matrix, Sigma Set is not only more efficient in distance evaluation and average calculation, but also easier to be enriched with first order statistics. Experimental results in texture classification and object tracking verify the effectiveness and efficiency of this novel object descriptor.

关键词： Robustness Histograms Fractals Lighting Statistics Solids Computer science Power engineering and energy Mathematics Power engineering computing

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Tolerance Granular computing based on incomplete information system

Tolerance Granular Computing based on incomplete information...

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IEEE International Conference on Granular computing (GRC)

作者： Zhongzhi Shi Zuqiang Meng Yuan Lu The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China College of Computer Electronics and Information Guangxi University Nanning 530004 China College of Computer Guangxi University Nanning China

At present GrC mainly is divided into three categories: computing with words (CW), rough set (RS) and quotient space (QS). From the perspective of essential characteristic of GrC, this demarcation is not comprehensive and accurate. In fact, CW is based on fuzzy granules (fuzzy subset) and both RS and QS are based on disjoint granules, which essentially are equivalence classes, either equal to each other or with empty overlap. In practical application, intersecting granules however need to be handled. Therefore there is another kind of GrC which is based on intersecting granules. This kind of GrC is referred to as tolerance GrC (TGrC) in our work. By constructing a Boolean algebra on super-granular space and a decision algebraic system, this paper will present an incomplete information system-based TGrC. With the TGrC, an example about extracting rules incomplete information is given, so as to show its basic principle.

关键词： information systems information processing Data mining Artificial intelligence Humans Problem-solving Arithmetic Laboratories Computers Educational institutions

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