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7th International Conference on Machine Learning and Cybernetics, ICMLC

作者： Qing, He Wei-Zhong, Zhao Zhong-Zhi, Shi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Graduate University Chinese Academy of Sciences Beijing 100039 China

ISBN: (纸本)9781424420964

Firstly, a new Clustering algorithm based on Hyper Surface (CHS) is put forward in this paper. CHS needs no domain knowledge to determine input parameters. However, it is difficult to process locally dense data for CHS. Then, an efficient clustering algorithm CHSMST is proposed, which is based on CHS and Minimum Spanning Tree. In the first step, CHSMST applies CHS to obtain initial clusters. After interacting, minimum spanning tree is introduced to handle locally dense data with which it is hard for CHS to deal. The experiments show that CHSMST can discover clusters with arbitrary shape. Moreover, the run time of CHSMST increases moderately as the scale of data set becomes large. © 2008 IEEE.

关键词： Data mining

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Partial matching strategy for Phrase-based statistical machine translation

Partial matching strategy for Phrase-based statistical machi...

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46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-08: HLT

作者： He, Zhongjun Liu, Qun Lin, Shouxun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Graduate University of Chinese Academy of Sciences Beijing 100049 China

ISBN: (纸本)9781932432046

This paper presents a partial matching strategy for phrase-based statistical machine translation (PBSMT). Source phrases which do not appear in the training corpus can be translated by word substitution according to partially matched phrases. The advantage of this method is that it can alleviate the data sparseness problem if the amount of bilingual corpus is limited. We incorporate our approach into the state-of-the-art PBSMT systemMoses and achieve statistically significant improvements on both small and large corpora. © 2008 Association for Computational Linguistics.

关键词： Computer aided language translation

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A hierarchical framework for movie content analysis: Let computers watch films like humans

A hierarchical framework for movie content analysis: Let com...

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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops

作者： Anan, Liu Sheng, Tang Yongdong, Zhang Yan, Song Jintao, Li Zhaoxuan, Yang Virtual Reality Laboratory Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Department of Electronic Engineering Tianjin University Tianjin 300072 China

ISBN: (纸本)9781424423408

In this paper, we specially propose a hierarchical framework for movie content analysis. The purpose of our work is trying to realize computers' understanding for movie content, especially "Who, What, Where, How" which occur in the storyline by imitating human perception and cognition. The framework consists of two hierarchies. As for the low level part, we originally construct the human attention model with temporal information motivated by the Weber-Fechner Law to depict the variation of human perception in multiple modalities. As for the high level part, we focus on semantic understanding of different granularities of videos and simulate human cognition for movie content. Based on this hierarchical framework, we present its applications on semantic retrieval, video summarization and content filter. The promising results of users' subjective assessment indicate that the proposed framework is applicable for automatic analysis of movie content by computers. © 2008 IEEE.

关键词： Semantics

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Tangible augmented user interface for interactive simulation of the jaw motion

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Journal of information and Computational Science 2008年第5期5卷 2071-2076页

作者： Ji, Lianen Lu, You Zhang, Fengjun Department of Computer Science and Technology China University of Petroleum Beijing 102249 China Laboratory of Human-Computer Interaction and Intelligent Information Processing Institute of Software Chinese Academy of Sciences Beijing 100080 China

This paper presents a novel 3D interactive system for simulation and visualization of the human jaw motion. Based on the visual tracking technique, teeth plaster cast and marker cards is used for manipulating virtual teeth model and controlling the simulation of jaw motion. Through introducing their interactive semantic attributes, these physical interface elements are classified into various interaction types. Furthermore, various interaction tasks and techniques are seamlessly merged into a uniform interface framework, which integrates physical space with virtual space together. This innovative 3D interface can effectively exploit the dentist's existing skills and provide more intuitive and natural 3D interaction techniques than traditional ones. 1548-7741/Copyright © 2008 Binary information Press October 2008.

关键词： Augmented reality

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Probing Dynamical Character of Neural Circuits by Using Fuzzy Logic

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AIP Conference Proceedings 2008年第1期1060卷 160-165页

作者： Hong Hu Zhongzhi Shi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Science Beijing 100080 China

Analytical study or designing of large‐scale nonlinear neural circuits, especially for chaotic neural circuits, is a difficult task. Here we analyze the function of neural systems by probing the fuzzy logical framework of the neural cells’ dynamical equations. In this paper, the fuzzy logical framework of neural cells is used to understand the nonlinear dynamic attributes of a common neural system, and we proved that if a neural system works in a non‐chaotic way, a suitable fuzzy logical framework can be found and we can analyze or design such kind neural system similar to analyze or design a digit computer, but if a neural system works in a chaotic way, an approximation is needed for understanding the function of such neural system.

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Adaptive multiple feedback strategies for interactive video search

Adaptive multiple feedback strategies for interactive video ...

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2008 International Conference on Image and Video Retrieval, CIVR 2008

作者： Luan, Huanbo Zheng, Yantao Neo, Shi-Yong Zhang, Yongdong Lin, Shouxun Chua, Tat-Seng Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Graduate School Chinese Academy of Sciences Beijing 100039 China School of Computing National University of Singapore Singapore 117590 Singapore

ISBN: (纸本)9781605580708

In this paper, we propose adaptive multiple feedback strategies for interactive video retrieval. We first segregate interactive feedback into 3 distinct types (recall-driven relevance feedback, precision-driven active learning and locality-driven relevance feedback) so that a generic interaction mechanism with more flexibility can be performed to cover different search queries and different video corpuses. Our system facilitates expert searchers to flexibly decide on the types of feedback they want to employ under different situations. To cater to the large number of novice users (non-expert users), an adaptive option is built-in to learn the expert user behavior so as to provide recommendations on the next feedback strategy, leading to a more precise and personalized search for the novice users. Experimental results on TRECVID news video corpus demonstrate that our proposed adaptive multiple feedback strategies are effective. Copyright 2008 ACM.

关键词： Behavioral research

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Symmetrical Invariant LBP Texture Descriptor and Application for Image Retrieval

Symmetrical Invariant LBP Texture Descriptor and Application...

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Congress on Image and Signal processing, CISP

作者： Zhiping Shi Fei Ye Qing He Zhongzhi Shi Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing China

In this paper, we present a symmetrical invariant LBP (SILBP) texture descriptor based on the texture pattern equivalent, which is defined according to visual perception of textures. Then we extend the SILBP to linear SILBP. Our experiments on image retrieval show that the proposed texture discriptor has the advantages of symmetrical invariant, rotation robustness and computing simplicity.

关键词： Image retrieval Histograms Visual perception Robustness Humans Image texture Content based retrieval Wavelet transforms Signal processing information retrieval

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Verification algorithm of a sequential circuit's equivalence based on state transfer graph

Verification algorithm of a sequential circuit's equivalence...

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2nd International Symposium on information Technologies and Applications in Education, ISITAE 2008

作者： Li, Wei Yang, Desheng Lu, Ying Zhang, Yichao Institute of Computer Science and Technology Anhui University Hefei China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9780863419133

An equivalence verification algorithm of sequential circuits [1] based on state transfer graph (STG) is presented in this paper, which obtains some certain useful information through verifying the corresponding state transfer graphs' isomorphism, namely that two corresponding sequential circuits' equivalence . And the verifying includes two steps: firstly, find out all state pairs of the vertexes, which are being verified;secondly verify the equivalence of state pairs, if all the state pairs can be matched as equal state pairs, thus we can come to a conclusion that the corresponding circuits have the same sequential behavior. The algorithm mainly verifies ISCAS85 circuits and some simple state transfer graphs, and the final experiment data shows that the algorithm introduced in the paper will obtain better results compared to BDD(Binary Decision Diagram) and SET(Symbolic Trajectory Evaluation) methods. © 2008 IET.

关键词： Timing circuits

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AAAI 2008 workshop reports

AAAI 2008 workshop reports

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作者： Anand, Sarabjot Singh Bunescu, Razvan Carvcdho, Vitor Chomicki, Jan Conitzer, Vincent Cox, Michael T. Dignum, Virginia Dodds, Zachary Dredze, Mark Furcy, David Gabrilovich, Evgeniy Göker, Mehmet H. Guesgen, Hans Hirsh, Haym Jannach, Dietmar Junker, Ulrich Ketter, Wolfgang Kobsa, Alfred Koenig, Sven Lau, Tessa Lewis, Lundy Matson, Eric Metzler, Ted Mihalcea, Rada Mobasher, Bamshad Pineau, Joelle Poupart, Pascal Raja, Anita Ruml, Wheeler Sadeh, Norman Shani, Guy Shapiro, Daniel Smith, Trey Taylor, Matthew E. Wagstaff, Kiri Walsh, William Zhou, Rong Department of Computer Science University of Warwick United Kingdom School of Electrical Engineering and Computer Science Ohio University United States Microsoft Live Labs United States computer science and engineering University at Buffalo United States Computer science and economics Duke University United States Intelligent Computing group of BBN Technologies Utrecht University Netherlands Department of Computer science Harvey Mudd College United States University of Pennsylvania United States University of Wisconsin United States Yahoo Research PricewaterhouseCoopers Center for Advanced Research United States Department of Computer science School of Engineering and Advanced Technology Massey University New Zealand Departent of Computer science Rutgers University United States Department of Computer Science Dortmund University of Technology. Germany ILOG Rotterdam School of Management Erasmus University Netherlands Donald Bren School of Information and Computer Sciences University of California Irvine United States Depatrment of Computer science University of Southern California United States IBM Almaden Research Center United States Department of Computer Information Technology Southern New Hampshire University United States Computer and Information Technology Program College of Technology Purdue University United States Hughes Program for Religion and Science Dialogue Oklahoma City University United States Department of Computer Science and Engineering University of North Texas United States School of Computing DePaul University United States Department of Computer Science McGill University Canada School of Computer Science University of Waterloo Canada Department of Software and Information Systems University of North Carolina Charlotte United States University of New Hampshire United States Microsoft Research Institute for the Study of Learning and Expertise Applied Reactivity Inc. United States NASA Ames Research Center Carnegie Mellon University West

AAAI was pleased to present the AAAI-08 Workshop Program, held Sunday and Monday, July 13-14, in Chicago, Illinois, USA. The program included the following 15 workshops: Advancements in POMDP Solvers;AI Education Workshop Colloquium;Coordination, Organizations, Institutions, and Norms in Agent Systems, Enhanced Messaging;Human Implications of Human-Robot Interaction;intelligent Techniques for Web Personalization and Recommender Systems;Metareasoning: Thinking about Thinking;Multidisciplinary Workshop on Advances in Preference Handling;Search in Artificial Intelligence and Robotics;Spatial and Temporal Reasoning;Trading Agent Design and Analysis;Transfer Learning for Complex Tasks;What Went Wrong and Why: Lessons from AI Research and Applications;and Wikipedia and Artificial Intelligence: An Evolving Synergy. Copyright © 2009, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Human robot interaction

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The Data Selection Criteria for HSC and SVM Algorithms

The Data Selection Criteria for HSC and SVM Algorithms

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International Conference on Natural Computation (ICNC)

作者： Qing He Fuzhen Zhuang Zhongzhi Shi The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China

This paper makes a discussion of consistent subsets (CS) selection criteria for hyper surface Classification (HSC) and SVM algorithms. The consistent subsets play an important role in the data selection. Firstly, the paper proposes that minimal consistent subset for a disjoint cover set (MCSC) plays an important role in the data selection for HSC. The MCSC can be applied to select a representative subset from the original sample set for HSC. MCSC has the same classification model with the entire sample set and can totally reflect its classification ability. Secondly, the number of MCSC is calculated. Thirdly, by comparing the performance of HSC and SVM on corresponding CS, we argue that it is not reasonable that using the same train data set to train different classifiers and then testing the classifiers by the same test data set for different algorithms. The experiments show that algorithms can respectively select the proper data set for training, which ensures good performance and generalization ability. MCSC is the best selection for HSC, and support vector set is the effective selection for SVM.

关键词： Support vector machines Support vector machine classification Nearest neighbor searches Neural networks Testing Laboratories information processing Computers Helium Databases

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