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Semantic-driven Management and Search for Resources in Research Community

Semantic-driven Management and Search for Resources in Resea...

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International Conference on Semantics, Knowledge and Grid (SKG)

作者： Junsheng Zhang Junsheng Zhang Zhixian Yan Zhixian Yan Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China

In recent years, semantic search has become one hot motivation of the semantic web. In this paper, we propose a semantic-based resource management and search architecture and its implementation in research community, including most of the research relevant resources. We have built two authoring tools respectively for concepts and instances. With the authoring tools, semantic search portal is provided, which has three different interfaces, respectively for retrieval of concept , instance and semantic relationship. Compared with the traditional search methods, semantic search methodology not only gives us more interesting and satisfying search results, whose precision is higher than those of traditional ones only based on keywords, but also displays the results in a more structural and semantic way.

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A Novel Plausible Model for Visual Perception

A Novel Plausible Model for Visual Perception

引用

Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

作者： Zhiwei Shi Zhongzhi Shi Hong Hu Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing 200080 China

ISBN: (纸本)1424404754;9781424404759

Traditionally, how to bridge the gap between the low level visual features and the high level semantic concepts has been a tough task for the researchers. In this paper, we propose a novel plausible model, namely globally connected and locally autonomic Bayesian network (GCLABN), to model the process of visual perception. The new model takes advantage of both the low level visual features, such as colors, textures and shapes, of the target object and the interrelationship between the known objects, and integrates them into a Bayesian framework, which possesses both firm theoretical foundation and wide practical applications. According to our meticulous analysis, in many aspects, the novel model theoretically outperforms the original Bayesian network, which has been successfully applied to many related areas, such as object detection, scene analysis and other similar tasks. Finally, although the GCLABN is designed for the visual perception, it also has great potential to be applied to other areas.

关键词： Visualperception Bayesian network.

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3-D Affine Moment Invariants Generated by Geometric Primitives

3-D Affine Moment Invariants Generated by Geometric Primitiv...

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International Conference on Pattern Recognition

作者： Dong Xu Hua Li Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences China

ISBN: (纸本)0769525210

3D affine moment invariants are derived in a convenient way in this paper. The property of volume of a tetrahedron is studied first under affine transformation. 3D affine moment invariants are constructed then by the multiple integrals of the combinations of this kind of geometric primitive. Numerical experiments of deformed models are conducted to certificate the invariance of the new 3D affine moment invariants given in this paper

关键词： Density functional theory Laboratories Information processing Computers Deformable models Character recognition Shearing Eigenvalues and eigenfunctions Integral equations Pattern recognition

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3-D Surface Moment Invariants

3-D Surface Moment Invariants

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International Conference on Pattern Recognition

作者： Dong Xu Hua Li Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences China

ISBN: (纸本)0769525210

3D surface moments and surface moment invariants under similarity transformation are defined in this paper. This variation of traditional moments and moment invariants can handle the situation where the object is unclosed. 3D surface moment invariants can be used as shape descriptors for the representation of free-form surfaces. Some explicit surface moment invariants are illustrated in the experiment to describe the partial meaningful polygonal patches

关键词： Shape measurement Roentgenium Laboratories Information processing Computers Laser modes Application software Character recognition Computational complexity Density functional theory

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Protein 3D HP model folding simulation based on ACO

Protein 3D HP model folding simulation based on ACO

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International Conference on intelligent Systems Design and Applications (ISDA)

作者： Jie Song Jiaxing Cheng Tingting Zheng Key Laboratory of Intelligent Computering and signal Processing of Ministry of Education Anhui University Hefei Anhui China

The paper presents an approach to optimize the protein 3D HP model conformation with ant colony optimisation (ACO). A rapid coordinate system transfer matrix according to the "right hand" rule we defined is used to reduce the computing time. A new scheme to solve the problem of folding deadlock is suggested. During the update of pheromone, a new update method with dynamic pheromone is given and three local search methods are provided. Using these methods, 3D conformation of standard test sequences with very low energy was found

关键词： Proteins Lattices Amino acids Ant colony optimization Bonding Computational modeling Computer simulation Laboratories Biomedical signal processing Computer science education

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Face Recognition Based on Covering Algorithm and PLS

Face Recognition Based on Covering Algorithm and PLS

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World Congress on intelligent Control and Automation (WCICA)

作者： Jie Song Jiaxing Cheng Zhongwei Xu Key Laboratory of Intelligent Computering and signal Processing of Ministry of Education Anhui University Hefei Anhui China

This paper proposes a new approach of human face recognition using partial least square (PLS) and covering algorithm. PLS constructs the component so that the correlation between the class variable and themselves maximized. Covering algorithm is a kind of neural network method. The approach first processes the image with wavelet transform, and then eliminates the redundant features with PLS. It reduces the dimension of image by extracting the principal features. Finally, classifies the image by covering algorithm

关键词： Face recognition Humans Frequency signal processing algorithms Feature extraction Wavelet transforms Pattern recognition Computer science education Neural networks Pattern matching

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Context-aware services composition based on AI planning

Context-aware services composition based on AI planning

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36th Jahrestagung der Gesellschaft fur Informatik e.V. (GI): Informatik fur Menschen, INFORMATIK 2006

作者： Qiu, Lirong Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P. O. Box 2704-28 Beijing 100080 China Graduate School of the Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783885791881

AI planning technologies has proven to be useful for services composition. By treating service as an action, planners do various sorts of reasoning about how to combine services into a plan. However, planners typically support only limited reasoning capabilities which cannot handle the enormous size of the data involved in the planning process over Web. In parallel, the field of context-aware computing has been focusing on providing information that can be used to characterize the situation of an entity, and thereby using context can filter the inappropriate candidate services and adapt to user's preference. The major technical contributions of this paper are: (1) We propose an OWL-SC model for the context-aware composition of Web services. (2) We propose context-aware plan architecture and thus is more scalability and flexibility for the planning process, and thereby improving the efficiency and precision. (3) We propose a hybrid approach to build a plan corresponding to a context-aware service composition, based on global planning and local optimization, considering both the usability and adoption. solution.

关键词： Web services

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A Novel Approach Based on Wavelet-ICA for SAR Image Speckle Suppression

A Novel Approach Based on Wavelet-ICA for SAR Image Speckle ...

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International Conference on signal processing Proceedings (ICSP)

作者： Xiaoguang Lu Ping Han Renbiao Wu Jingxiong Huang Tianjin Key Laboratory for Advanced Signal Processing Civil Aviation University of China Tianjin China ShenZhen Key Laboratory for Intelligent Information Processing ShenZhen University China

In this paper we propose a novel speckle suppression method based on the joint of wavelet transform (WT) and independent component analysis (ICA). The method employs ICA to process the wavelet coefficients of images, extracting the independent components which represent the uncorrupt images. Experimental results based on SAR (synthetic aperture radar) images of MSTAR (moving and stationary target acquisition and recognition) dataset show that the proposed method suppresses speckle effectively, and outperforms ICA and Lee filter

关键词： Speckle Independent component analysis Wavelet analysis Synthetic aperture radar Image analysis Wavelet transforms signal processing algorithms Discrete wavelet transforms signal processing Image recognition

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Logical Connections of Statements in Ontologies

Logical Connections of Statements in Ontologies

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Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

作者： Cungen Cao Yuefei Sui Yu Sun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080

ISBN: (纸本)9781424404759

In the classical formal logics, the negation can only be applied to formulas. An ontology contains descriptions of individuals, concepts and slots;and statements about individuals, concepts and slots. The negation can be applied to concepts, slots and statements, so that the logical implication should be considered for all possible combinations of individuals, concepts, slots and statements. This paper attempts to give such logical implications between individuals, concepts, slots, statements and their negations.

关键词： Ontologies Concepts Individuals Logical implication Negation.

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On Intelligence Science and Recent Progresses

On Intelligence Science and Recent Progresses

引用

IEEE International Conference on Cognitive Informatics

作者： Zhongzhi Shi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781424404759

Summary form only given. Intelligence science is a cross-discipline that dedicates to joint research on basic theory and technology of intelligence by brain science, cognitive science, artificial intelligence and others. Brain science explores the essence of brain, research on the principle and model of natural intelligence in molecular, cell and behavior level. Cognitive science studies human mental activity, such as perception, learning, memory, thinking, consciousness etc. In order to implement machine intelligence, Artificial intelligence attempts simulation, extension and expansion of human intelligence using artificial methodology and technology. The above three disciplines work together to explore new concept, new theory, new methodology. It will be successful and create a brilliant future in the 21 century. Brain science points out that perceptive lobes have special function separately, the occipital lobe processes the visual information, the temporal lobe processes auditory information, the parietal lobe processes the information from the somatic sensors. All of three lobes deal with information perceived from the physical world. Each lobe is covered with cortex where the bodies of neurons are located. Cortex consists of primary, intermediate and advanced areas at least. Information is processed in the primary area first, then is passed to intermediate and advanced areas. Comparing with computer system, the brain is the same as hardware and the mind looks like software. Most work in cognitive science assumes that the mind has mental representations analogous to computer data structures, and computational procedures similar to computational algorithms. Connectionists have proposed novel ideas to use neurons and their connections as inspirations for data structures, and neuron firing and spreading activation as inspirations for algorithms. Cognitive science then works with a complex 3-way analogy among the mind, the brain, and computers. Mind, brain, and comp

关键词： Artificial intelligence Cognitive science Learning systems Neurons Brain modeling Humans Data structures Computational and artificial intelligence Machine intelligence Temporal lobe

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