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检索条件"机构=Key Laboratory of Intelligent Information Perception and Processing Technology"

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Geodesic distance based aproach for sentence similarity computation

Geodesic distance based aproach for sentence similarity comp...

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Hui-Fang Ma Qing He Zhong-Zhi Shi Chinese Academy of Sciences Beijing China The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

This paper presents a novel approach based on geodesic distance for sentence similarity computation, which can be used in a query-based information retrieval system. Unlike the traditional distance methods, geodesic distance takes into account the spatial relationships of sentences, which better reflects the intrinsic geometric structure of sentence manifold. Experiments demonstrate that the proposed method shows a better correlation to human intuition compared with traditional Euclidean method.

关键词： Distance measurement Manifolds Level measurement Euclidean distance Machine learning Correlation Helium

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Acquiring Commonsense Knowledge about Properties of Concepts from Text

Acquiring Commonsense Knowledge about Properties of Concepts...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Ya-nan Cao Cungen Cao Liangjun Zang Yao Zhu Shi Wang Dongsheng Wang Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

Commonsense knowledge plays an important role in various areas such as natural language understanding, information retrieval, etc. This paper presents a method for acquiring commonsense knowledge about properties of concepts by analyzing how adjectives are used with nouns in everyday language. We firstly mine a large scale corpus for potential concept-property pairs using lexico-syntactic patterns and then filter erroneously acquired ones based on heuristic rules and statistical approaches. For each concept, we automatically select the commonsensical properties and evaluate their applicability. Finally, we generate commonsense knowledge represented with explicit fuzzy quantifiers. Experimental results demonstrate the effectiveness of our approach.

关键词： Natural languages information retrieval Fuzzy systems Laboratories information processing Computers Large-scale systems Filters Text recognition Statistical distributions

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Object retrieval based on spatially frequent items with informative patches

Object retrieval based on spatially frequent items with info...

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Ke Gao Shouxun Lin Junbo Guo Dongming Zhang Yongdong Zhang Yufeng Wu Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

Spatial relation of local image patches plays an important role in object-based image retrieval. An approach called spatial frequent items is proposed as an extension of Bag-of-Words method by introducing spatial relations between patches. Spatial frequent items are defined as frequent pairs of adjacent local image patches in polar coordinates, and exploited using data mining. Based on these frequent configurations, we develop a method to encode patches and their spatial relations for image indexing and retrieval. Besides, to avoid the interference of background patches, informative patches are filtrated based on their local entropy and self-similarity in the preprocess stage. Experimental results demonstrate that our method can be 8.6% more effective than the state-of-art object retrieval methods.

关键词： Entropy Visualization Filtration Data mining Distance measurement Image retrieval Detectors

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Extracting Part-Whole Relations from Unstructured Chinese Corpus

Extracting Part-Whole Relations from Unstructured Chinese Co...

引用

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Xinyu Cao Cungen Cao Shi Wang Han Lu Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

An important problem in text mining is the automatic extraction of semantic relations. The paper provides a domain independent method for automatic extraction of part-whole relations in Chinese corpusa. The method consists of there phases. First, a set of lexico-syntactical patterns for part-whole relations are designed using known pairs of concepts encoding part-whole relations as seeds, and manually filtering the extracted sentences. Second, Pairs of concepts are extracted using the patterns from a training corpus, which may reflect part-whole relations. Finally, the extracted pairs of concepts are further confirmed using a set of heuristic rules generated based on an analysis of Chinese syntactical and semantic features. Based on a test corpus, the method achieves satisfactory results.

关键词： Hard disks Zinc Fuzzy systems Data mining information processing Computers Filters Text mining Encoding Filtering

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Spatio-temporal visual consistency for video copy detection

Spatio-temporal visual consistency for video copy detection

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2008 5th International Conference on Visual information Engineering (VIE 2008)

作者： Xiao Wu Jintao Li Yongdong Zhang Sheng Tang Chinese Academy of Sciences Beijing China Institute of Computing Technology Key Laboratory of Intelligent Information Processing Chinese Academy and Sciences Beijing China

Video copy detection is essentially a problem of large scale pattern matching. Various copy attacks which change the visual appearance impose hazard on this task. Based on the spatio-temporal consistency, our algorithm aims to utilize the invariant pattern of visual information for video matching. Position correlation of trajectory feature points is calculated as the signature for fast detection. Experiments using benchmarked dataset and commonly happened copy attacks verify the robustness and efficiency of our algorithm.

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A statistical framework for replay detection in soccer video

A statistical framework for replay detection in soccer video

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Ying Yang Shouxun Lin Yongdong Zhang Sheng Tang Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

A novel statistical framework for replay detection is presented in this paper. Unlike current methods, the proposed framework exploits both inherent characters and transition relations of replay and non-replay scenes based on annotation of the video, which realizes segments and classifies video stream into replay and non-replay shots simultaneously. After annotation, the detected replay segment is further verified and its boundaries are adjusted to get more accurate replay segment considering probability distribution of lengths of replay and non-replay shots. Experimental results on soccer video are promising, demonstrating the effectiveness of the proposed framework.

关键词： Layout Streaming media Gunshot detection systems Probability distribution Laboratories information processing Computers Event detection Cameras Machine learning

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Face Recognition Based on Possibilistic Partition and Fuzzy Integral

Face Recognition Based on Possibilistic Partition and Fuzzy ...

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IEEE International Conference on Networking, Sensing and Control

作者： Chanjuan Wang Qiang Zhang Xiaopeng Wei Changjun Zhou Liaoning Key Laboratory of Intelligent Information Processing Dalian University Dalian China School of Mechanical Engineering Dalian University of Technology Dalian China

Aiming at the characters of possibilistic partition and ICA (independent component analysis), a new algorithm by using PCV (Possibilistic C-Varieties) to preprocess and partition the data simultaneously is given in this paper. In addition, the recognition rate is improved by fuzzy integral, which fuses the features of multi-information-sources to achieve the optimal match between personal expectation and impersonal evidence. The computer simulation illustrates the effectivity of this method on the ORL database.

关键词： Face recognition Independent component analysis Data mining Principal component analysis Feature extraction Fuses Clustering algorithms Fuzzy sets Statistics Partitioning algorithms

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Hierarchical background subtraction using local pixel clustering

Hierarchical background subtraction using local pixel cluste...

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作者： Zhong, Bineng Yao, Hongxun Shan, Shiguang Chen, Xilin Gao, Wen Department of Computer Science and Engineering Harbin Institute of Technology China Digital Media Research Center Institute of Computing Tech. CAS Beijing China Key Laboratory of Intelligent Information Processing CAS Beijing China Digital Media Institute Peking University Beijing China

ISBN: (纸本)9781424421756

We propose a robust hierarchical background subtraction technique which takes the spatial relations of neighboring pixels in a local region into account to detect objects in difficult conditions. Our algorithm combines a per-pixel with a per-region background model in a hierarchical manner, which accentuates the advantages of each. This is a natural combination because the two models have complementary strengths. The per-pixel background model is achieved by mixture of Gaussians Models (GMM) with RGB feature. Although precisely describing background change in high resolution, it suffers from the sensitivity to quick variations in dynamic environment. To tolerate these quick variations, we further develop a novel GMM based per-region background model, which is updated by the cluster centers obtained from a k-means clustering of the pixels' RGB feature in the region. Numerical and qualitative experimental results on challenging videos demonstrate the robustness of the proposed method. © 2008 IEEE.

关键词： Pixels

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A DDL-Based Model for Web Service Composition in Context-Aware Environment

A DDL-Based Model for Web Service Composition in Context-Awa...

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IEEE International Conference on Web Services (ICWS)

作者： Wenjia Niu Zhongzhi Shi Changlin Wan Liang Chang Hui Peng Graduate School of Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

Dynamic description logic (DDL) is among the few emerging service composition solutions through logical reasoning. To overcome low efficiency and lacking context-aware support of DDL reasoning, we propose a new DDL-based service composition model, which supports context-based service pre-filtering over DDL reasoning space. The pre-filtering runs under the BPEL workflow and a distributed reasoning algorithm need to reasoning different contexts after pre-filtering.

关键词： Context modeling Web services Context-aware services Filtering Logic information processing Computers Artificial intelligence Distributed algorithms Filters

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Spatial-temporal attention analysis for home video

Spatial-temporal attention analysis for home video

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Xuekan Qiu Shuqiang Jiang Huiying Liu Qingming Huang Longbing Cao Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Sydney University of Technology Sydney Australia

In this paper, by considering the multiple spatial-temporal characteristic of visual perception system, we propose a novel home video attention analysis method. Firstly, each frame of the video is segmented into regions which are more informative than pixels and image blocks. Then the saliency of each region is analyzed by combining static, motion and location attentions. Finally a region based saliency map is generated for each frame, and an attention score curve is obtained for the video clip by combining attention scores of all regions in each frame. Both of them can be utilized in wide applications. This method takes advantage of the properties of human visual perception and can well present the attention information of home videos. Experimental results show the effectiveness of this approach.

关键词： Cameras Image segmentation Multimedia communication Multimedia systems Streaming media Pixel Visualization

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