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检索条件"机构=Key Lab. of Intelligent Information Processing Institute of Computing Technology"

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Forest-to-string statistical translation rules

Forest-to-string statistical translation rules

引用

45th Annual Meeting of the Association for Computational Linguistics, ACL 2007

作者： Liu, Yang Huang, Yun Liu, Qun Lin, Shouxun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing 100080 China

ISBN: (纸本)9781932432862

In this paper, we propose forest-to-string rules to enhance the expressive power of tree-to-string translation models. A forest-to-string rule is capable of capturing non-syntactic phrase pairs by describing the correspondence between multiple parse trees and one string. To integrate these rules into tree-to-string translation models, auxiliary rules are introduced to provide a generalization level. Experimental results show that, on the NIST 2005 Chinese-English test set, the tree-to-string model augmented with forest-to-string rules achieves a relative improvement of 4.3% in terms of BLEU score over the original model which allows tree-to-string rules only. © 2007 Association for Computational Linguistics.

关键词： Forestry

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3D Haar-like features for pedestrian detection

3D Haar-like features for pedestrian detection

引用

IEEE International Conference onMultimedia and Expo, ICME 2007

作者： Xinyi, Cui Yazhou, Liu Shiguang, Shan Xilin, Chen Wen, Gao Harbin Institute of Technology Harbin China Institute of Computing Technology Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Chinese Academy of Sciences Beijing China

ISBN: (纸本)1424410177

One basic observation for pedestrian detection in video sequences is that both appearance and motion information are important to model the moving people. Based on this observation, we propose a new kind of features, 3D Haar-like (3DHaar) features. Motivated by the success of Haarlike features in image based face detection and differential-frame based pedestrian detection, we naturally extend this feature by defining seven types of volume filters in 3D space, instead of using rectangle filter in 2D space. The advantage is that it can not only represent pedestrian's appearance, but also capture the motion information. To validate the effectiveness of the proposed method, we combine the 3DHaar with support vector machine (SVM) for pedestrian detection. Our experiments demonstrate the 3DHaar are more effective for video based pedestrian detection. © 2007 IEEE.

关键词： Face recognition

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Immune genetic algorithm for weapon-target assignment problem

Immune genetic algorithm for weapon-target assignment proble...

引用

2007 Workshop on intelligent information technology Application, IITA 2007

作者： Gao, Shang Zhang, Zaiyue Zhang, Xiaoru Cao, Cungen School of Electronics and Information Jiangsu University of Science and Technology Zhenjiang 212003 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)076953063X

An Immune Genetic Algorithm (IGA) is used to solve weapon-target assignment problem (WTA). The used immune system serves as a local search mechanism for genetic algorithm. Besides, in our implementation, a new crossover operator is proposed to preserve good information contained in the chromosome. A comparison of the proposed algorithm with several existing search approaches shows that the IGA outperforms its competitors on all tested WTA problems. © 2007 IEEE.

关键词： Genetic algorithms

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SAMPLING BASED ON MINIMAL CONSISTENT SUBSET FOR HYPER SURFACE CLASSIFICATION

SAMPLING BASED ON MINIMAL CONSISTENT SUBSET FOR HYPER SURFAC...

引用

2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

作者： QING HE ZHONG-ZHI SHI XIU-RONG ZHAO The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese

For Hyper Surface Classification (HSC), based on the concept of Minimal Consistent Subset for a disjoint Cover set (MCSC), a judgmental sampling method is proposed to select a representative subset from the original sample set in this *** sampling method depends on sample *** can directly solve the nonlinear multi-class classification problems and observe the sample *** sample distribution is obtained by adaptively dividing the sample space, and the classification model of hyper surface is directly used to classify large database based on Jordan Curve Theorem in Topology while sampling for *** number of MCSC is *** has the same classification model with the entire sample set and can totally reflect its classification *** any subset of the sample set that contains MCSC, the classification ability remains the ***, a formula is put forward that can predict the testing accuracy exactly when some samples are deleted from *** MCSC is the best way of sampling from the original sample set for Hyper Surface Classification method.

关键词： Minimal Consistent Subset Disjoint Cover Set Hyper Surface Classification Sampling

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Protein structure superposition by curve moment invariants and iterative closest point

Protein structure superposition by curve moment invariants a...

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2007 1st International Conference on Bioinformatics and Biomedical Engineering, ICBBE

作者： Xu, Dong Li, Hua Gu, Tongjun Key Laboratory of Intelligent Information Processing Key Laboratory of Computer System and Architecture National Research Center for Intelligent Computing Systems Institute of Computing Technology Chinese Academy of Sciences Center for Systems Biology Institute of Biophysics Chinese Academy of Sciences Graduate University Chinese Academy of Sciences

ISBN: (纸本)1424411203

Superimpose one protein tertiary structure to another can help to find similarity between them and further identify functional and evolutionary relationships. We first extract invariant features under rigid body transformation for each protein backbone which is represented by alpha-carbons of all the residues. Then, the invariant features are embedded with Iterative Closest Point algorithm for superposition. With several initialized orientations, pairwise alignment can be achieved accurately only by few iterations. Experiments indicate that our proposed algorithm is competitive with several well-known algorithms and with smallest root mean squared distance. © 2007 IEEE.

关键词： Proteins

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RETRACTED ARTICLE: Geometrical issues for representing protein structure

RETRACTED ARTICLE: Geometrical issues for representing prote...

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2007 1st International Conference on Bioinformatics and Biomedical Engineering, ICBBE

作者： Liu, Jianhui Department of Basic Science Beijing University of Agriculture Beijing 102206 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)1424411203;9781424411207

Predicting functional properties of proteins is needed in a number of applications. A protein is represented as an ordered list of amino acids, where each amino acid has a sequence and a structure component (the terms amino acid and residue are used interchangeably). Since functional properties of proteins usually depend on their actual three-dimensional structures in living organisms, the geometrical configuration of amino acids is of great importance. Focusing on this issue, this paper first abstracts the problem based on the analysis of the already existed approaches. Then a formal approach towards the reasonable representation is presented. In particular, the paper shows that two parameters are not adequate for representing the 3D residue sequence structure. © 2007 IEEE.

关键词： Proteins

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A flexible stem-based local search algorithm for predicting RNA secondary structures including pseudoknots

A flexible stem-based local search algorithm for predicting ...

引用

7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

作者： Chen, Xiang He, Si-Min Bu, Dong-Bo Chen, Run-Sheng Gao, Wen Key Lab. of Intelligent Information Processing Chinese Academy of Sciences Beijing 100080 China Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Insitute of Biophysics Chinese Academy of Sciences Beijing 100101 China Graduate University Chinese Academy of Sciences Beijing 100039 China

ISBN: (纸本)1424415098

We demonstrate a new algorithm named FlexStem to predict RNA secondary structures with pseudoknots. Our approach is based on the free energy minimization criterion, and utilizes a sophisticated energy model that is more accurate and supports more types of pseudoknots. By using a "maximal stem" and "stem merging" strategy, the search space for RNA structure prediction is significantly reduced. We have also developed a greedy search algorithm with perturbation on stems. The FlexStem algorithm is applied to a large number of sequences taken from Sprinzl, Pseudobase and other reliable resource. We find that FlexStem outperforms the well-known optimal and heuristic algorithms such as Mfold, PKNOTS, HotKnots and ILM in overall sensitivity and has comparable results to those algorithms in overall specificity. Performance evaluation demonstrate that FlexStem requires significantly less time than the optimal algorithm PKNOTS. In addition, our algorithm has better prediction results on pseudoknot-free sequences compared to competing algorithms. ©2007 IEEE.

关键词： Heuristic algorithms

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The ICT Statistical Machine Translation Systems for IWSLT 2007 4

The ICT Statistical Machine Translation Systems for IWSLT 20...

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4th International Workshop on Spoken Language Translation, IWSLT 2007

作者： He, Zhongjun Mi, Haitao Liu, Yang Xiong, Deyi Luo, Weihua Huang, Yun Ren, Zhixiang Lu, Yajuan Liu, Qun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences No.6 Kexueyuan South Road Haidian District P.O. Box 2704 Beijing100080 China

In this paper, we give an overview of the ICT statistical machine translation systems for the evaluation campaign of the International Workshop on Spoken Language Translation (IWSLT) 2007. In this year’s evaluation, we participated in the Chinese-English transcript translation task, and developed three systems based on different techniques: a formally syntax-based system Bruin, an extended phrase-based system Confucius and a linguistically syntax-based system Lynx. We will describe the models of these three systems, and compare their performance in detail. We set Bruin as our primary system, which ranks 2 among the 15 primary results according to the official evaluation results. © 2007 International Workshop on Spoken Language Translation, IWSLT 2007. All rights reserved.

关键词： Computer aided language translation

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Distributed application integration based on agent grid intelligent platform

Distributed application integration based on agent grid inte...

引用

2nd International Conference on Innovative computing, information and Control, ICICIC 2007

作者： Wang, Maoguang Shi, Zhongzhi Luo, Jiewen Zeng, Li School of Computer Science and Technology China University of Mining and Technology Xuzhou 221226 China 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

ISBN: (纸本)0769528821

Due to the existence of a large amount of legacy information systems, how to obtain the information and integrate the legacy systems is becoming more and more concerned. This paper introduces the integration pattern based on agent grid. And we propose an agent grid intelligent platform called AGrIP, which can erase information islands and integrate external systems efficiently by encapsulating the distributed application system to agents. AGrIP adopts distributed hierarchical structure, which is capable of integrating external systems to provide the users various services dynamically. AGrIP has proved itself scalab.e and efficient during the industry projects development and application. © 2007 IEEE.

关键词： intelligent agents

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Granular computing in the information Transformation of Pattern Recognition

Granular Computing in the Information Transformation of Patt...

引用

IEEE International Conference on Granular computing (GRC)

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

In the past decade, many papers about granular computing(GrC) have been published, but the key points about granular computing(GrC) are still unclear. In this paper, we try to find the key points of GrC in the information transformation of the pattern recognition. The information similarity is the main point in the original insight of granular computing (GrC) proposed by Zadeh(1997[1]). Many GrC researches are based on equivalence relation or more generally tolerance relation, equivalence relation or tolerance relation can be described by some distance functions and GrC can be geometrically defined in a framework of multiscale covering, at other hand, the information transformation in the pattern recognition can be abstracted as a topological transformation in a feature information space, so topological theory can be used to study GrC. The key points of GrC are (1) there are two granular computing approaches to change a high dimensional complex distribution domain to a low dimensional and simple domain, (2) these two kind approaches can be used in turn if feature vector itself can be arranged in a granular way.

关键词： Pattern recognition Cognition Humans Artificial intelligence lab.ratories information processing Computers Distributed computing Computation theory Computational modeling

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