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检索条件"机构=Cognitive Computing and Intelligent Information Processing Laboratory"

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Filter object categories: employing visual consistency and semisupervised approach

Filter object categories: employing visual consistency and s...

引用

IEEE International Conference on Multimedia and Expo (ICME)

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

We describe a method for filtering object category from a large number of noisy images. This problem is particularly difficult due to the greater variation within object categories and only a few labeled object images available. Our method deals with it by using visual consistency and semi-supervised approach. The images of one category often share some visual consistency so that the most irrelevant images can be first removed. Among the left images, a voting method is used to obtain more object exemplars with the initial object exemplars manually selected by users. Finally with all the obtained exemplars and those unlabeled images, we create a semi-supervised classifier to rank all the images. We evaluate our method on Berg dataset and demonstrate the precision comparative to the state-of-the-art. Besides, we collect five more categories from Google images to show the effectiveness of the method.

关键词： Voting Support vector machines Support vector machine classification information filtering information filters Search engines Training data Laboratories information processing Computers

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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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Image Classification Using Structural Sparse Coding Model

Image Classification Using Structural Sparse Coding Model

引用

International Conference on Natural Computation (ICNC)

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

ISBN: (纸本)9781424445424

Efficient coding hypothesis provides a quantitative relationship between environmental statistics and neural processing. In this paper, we put forward a novel sparse coding model based on structural similarity (SS_SC) for natural image feature extraction. The advantage for our model is to be able to preserve structural information from a scene, which human visual perception is highly adapted for. Using the proposed sparse coding model, the validity of image feature extraction is testified. Furthermore, inspired by Bayesian decision which is extensively used for classification, employing SS_SC we propose an algorithm for image classification. Compared with standard sparse coding (SC) model, the experimental results show that the quality of reconstructed images obtained by our method outperforms the SC method. Moreover, SS_SC model evidently enhances the classification accuracy.

关键词： Image classification Image coding Feature extraction Statistics Layout Humans Visual perception Testing Bayesian methods Classification algorithms

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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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Detection of Front-View Vehicle with Occlusions Using AdaBoost

Detection of Front-View Vehicle with Occlusions Using AdaBoo...

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International Conference on information Engineering and Computer Science (ICIECS)

作者： Chunpeng Wu Lijuan Duan Jun Miao Faming Fang Xuebin Wang College of Computer Sciences Beijing University of Technology Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

ISBN: (纸本)9781424449934

In this paper, we propose a vehicle detection method based on AdaBoost. We focus on the detection of front-view car and bus with occlusions on highway. Samples with different occlusion situations are selected into the training set. By using basic and rotated Haar-like features extracted from the samples in the set, we train an AdaBoost-based cascade vehicle detector. The performance tests on static images and short time videos show that (1) our approach detects cars more effectively than buses (2) the real-time detection of our method on video proceeds at 30 frames per second.

关键词： Vehicle detection Feature extraction Prototypes Detectors Videos Educational institutions Road vehicles Face detection Boosting 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

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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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A novel Hebbian rules based method for computation of sparse coding basis vectors

A novel Hebbian rules based method for computation of sparse...

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5th International Conference on Natural Computation, ICNC 2009

作者： Zou, Baixian Miao, Jun Yang, Xiaoling Duan, Lijuan Qiao, Yuanhua Department of Information Science and Technology College of Arts and Science of Beijing Union University Beijing 100083 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Tianjin Academy of Agricultural Science Tianjin 300192 China College of Computer Science and Technology Beijing University of Technology Beijing 100022 China College of Applied Science Beijing University of Technology Beijing 100022 China

ISBN: (纸本)9780769537368

Sparse coding has high-performance encoding and ability to express images, sparse encoding basis vector plays a crucial role. The computational complexity of the most existing sparse coding basis vectors of is relatively large. In order to reduce the computational complexity and save the time to train basis vectors. A new Hebbian rules based method for computation of sparse coding basis vectors is proposed in this paper. A two-layer neural network is constructed to implement the task. The main idea of our work is to learn basis vectors by removing the redundancy of all initial vectors using Hebbian rules. The experiments on natural images prove that the proposed method is effective for sparse coding basis learning. It has the smaller computational complexity compared with the previous work. © 2009 IEEE.

关键词： Computational complexity

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A Compression Algorithm for Multi-streams Based on GEP

A Compression Algorithm for Multi-streams Based on GEP

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International Conference on Genetic and Evolutionary computing (WGEC)

作者： Chao Ding Chang-an Yuan Xiao Qin Yu-zhong Peng Computer and Information Engineering College Guangxi Teachers Education University Nanning China Key Laboratory of Scientific Computing & Intelligent Information processing University of Guangxi Nanning Guangxi China Computer and Information Engineering College University of Guangxi Nanning China

This paper applied the Methods which based on GEP in compress multi-streams. The contributions of this paper include: 1) giving an introduction to data function finding based on GEP(DFF-GEP), defining the main conception of Multi-Streams, and revealing the map relation in it; 2) putting forward the Compression Algorithm for Multi-Streams according to map relation lied in data between data streams; and 3)providing an experience with the real data and find that (3.1) the compression ratio of the new methods is 120~150 times as the traditional wavelets method, and 35~70 times as the wavelets and coincidence method; (3.2) the relative error of the new method is about 3%, yet maximum relative error is 0.01 by using the traditional relative error standard, the precision is improved from 7% to 15% as compared with the traditional method.

关键词： Compression algorithms Scientific computing Competitive intelligence information processing Chaos Educational institutions Computer science education Monitoring Genetic engineering Gene expression

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