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IEEE CONTROL SYSTEMS MAGAZINE 2017年第1期37卷 151-152页

作者： Antoulas, Athanasios Georgiou, Tryphon T. Khargonekar, Pramod P. Ozguler, A. Bulent Sontag, Eduardo D. Yamamoto, Yutaka JiangSu Provincial Key Lab for Computer Information Processing Technology School of Computer Science and Technology Soochow University Suzhou China

Recounts the career and contributions of Professor Rudolf Emil Kalman.

关键词： Obituaries Kalman, Rudolf Emil

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Global learning of noun phrase anaphoricity in coreference resolution via lab.l propagation

Global learning of noun phrase anaphoricity in coreference r...

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2009 Conference on Empirical Methods in Natural Language processing, EMNLP 2009, Held in Conjunction with ACL-IJCNLP 2009

作者： Zhou, Guo Dong Kong, Fang JiangSu Provincial Key Lab. for Computer Information Processing Technology School of Computer Science and Technology Soochow University Suzhou 215006 China

Knowledge of noun phrase anaphoricity might be profitably exploited in coreference resolution to bypass the resolution of non-anaphoric noun phrases. However, it is surprising to notice that recent attempts to incorporate automatically acquired anaphoricity information into coreference resolution have been somewhat disappointing. This paper employs a global learning method in determining the anaphoricity of noun phrases via a lab.l propagation algorithm to improve learning-based coreference resolution. In particular, two kinds of kernels, i.e. the feature-based RBF kernel and the convolution tree kernel, are employed to compute the anaphoricity similarity between two noun phrases. Experiments on the ACE 2003 corpus demonstrate the effectiveness of our method in anaphoricity determination of noun phrases and its application in learning-based coreference resolution. © 2009 ACL and AFNLP.

关键词： Natural language processing systems

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A parallel ACO approach based on one pheromone matrix

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Ant Colony Optimization and Swarm Intelligence - 5th International Workshop, ANTS 2006, Proceedings

作者： Qiang, Lv Xiaoyan, Xia Peide, Qian School of Computer Science and Technology Soochow Univeristy China Jiangsu Provincial Key Lab. of Computer Information Processing Technology Suzhou China

ISBN: (纸本)3540384820

This paper presents and implements an approach to parallel ACO algorithms. The principal idea is to make multiple ant colonies share and utilize only one pheromone matrix. We call it SHOP (SHaring One Pheromone matrix) approach. We apply this idea to the two currently best instances of ACO sequential algorithms (MMAS and ACS), and try to hybridize these two different ACO instances. We mainly describe how to design parallel ACS and MMAS based on SHOP. We present our computing results of applying our approach to solving 10 symmetric traveling salesman problems, and give comparisons with the relevant sequential versions under the fair computing environment. The experimental results indicate that SHOP-ACO algorithms perform overall better than the sequential ACO algorithms in both the computation time and solution quality. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Global optimization

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Topic-driven multi-document summarization

Topic-driven multi-document summarization

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International Conference on Asian Language processing

作者： Wang, Hongling Zhou, Guodong Jiangsu Provincial Key Lab. for Computer Information Processing Technology School of Computer Science and Technology Soochow University Suzhou 215006 China

ISBN: (纸本)9780769542881

This paper presents a topic-driven framework for generating a generic summary from multi-documents. Our approach is based on the intuition that, from the statistical point of view, the summary's probability distribution over the topics should be consistent with the multi-documents'probability distribution over the inherent topics. Here, the topics are defined as weighted "bag-of-words" and derived by Latent Dirichlet Allocation from a collection of documents, either the given multi-documents or a related large-scale corpus. In this sense, we could represent various kinds of text units, such as word, sentence, summary, document and multi-documents, using a single vector space model via their corresponding probability distributions over the derived topics. Therefore, we are able to extract a sentence or summary by calculating the similarity between a sentence/summary and the given multi-documents via their topic probability distributions. In particular, we propose two methods in similarity measurement: the static method and the dynamic method. While the former is employed to detect the salience of information in a static way, the later further controls redundancy in a dynamic way. In addition, we integrate various popular features to improve the performance. Evaluation on the TAC 2008 update summarization task shows encouraging results. © 2010 IEEE.

关键词： Probability distributions

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Employing the centering theory in pronoun resolution from the semantic perspective

Employing the centering theory in pronoun resolution from th...

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2009 Conference on Empirical Methods in Natural Language processing, EMNLP 2009, Held in Conjunction with ACL-IJCNLP 2009

作者： Kong, Fang Zhou, Guo Dong Zhu, Qiaoming JiangSu Provincial Key Lab. for Computer Information Processing Technology School of Computer Science and Technology Soochow University Suzhou 215006 China

In this paper, we employ the centering theory in pronoun resolution from the semantic perspective. First, diverse semantic role features with regard to different predicates in a sentence are explored. Moreover, given a pronominal anaphor, its relative ranking among all the pronouns in a sentence, according to relevant semantic role information and its surface position, is incorporated. In particular, the use of both the semantic role features and the relative pronominal ranking feature in pronoun resolution is guided by extending the centering theory from the grammatical level to the semantic level in tracking the local discourse focus. Finally, detailed pronominal subcategory features are incorporated to enhance the discriminative power of both the semantic role features and the relative pronominal ranking feature. Experimental results on the ACE 2003 corpus show that the centering-motivated features contribute much to pronoun resolution. © 2009 ACL and AFNLP.

关键词： Semantics

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Approaches to image retrieval using fuzzy set theory

Approaches to image retrieval using fuzzy set theory

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2008 IEEE International Conference Neural Networks and Signal processing, ICNNSP

作者： Li, Yang Xuelong, Hu Jun, Pan School of Information Engineering Yangzhou University Yangzhou Jiangsu 225009 China Jiangsu Province Key Lab. for Image Processing and Image Communication Nanjing University of Posts and Communications Nanjing Jiangsu 210003 China Jiangsu Prov. Key Lab. for Computer Information Processing Technology Suzhou University Suzhou Jiangsu 215006 China

ISBN: (纸本)9781424423118

This paper mainly presents two approaches for image retrieval. There is some faintness in color locating in quantification boundary when image color is quantized. The membership function in fuzzy set theory can describe the fuzzy transition preferably. In this paper, the membership function in HSI color space is adopted to solve the problem above. At the same time, spatial information is integrated with color feature to describe the image content more truly. Due to the importance of texture feature, gray concurrence matrix is extracted. In the second part of this paper, retrieval scheme combining four image feature descriptors is presented, and then follows Fuzzy Hamming Distance (FHD) which is used as a fuzzy similarity measure. We have performed an experiment on a 1000 images database and our results show higher retrieval accuracy. © 2008 IEEE.

关键词： Fuzzy sets

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ADJSA: An adaptable dynamic job scheduling approach based on historical information 2

ADJSA: An adaptable dynamic job scheduling approach based on...

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2nd International Conference on Scalab.e information Systems, InfoScale 2007

作者： Xu, Lan Zhu, Qiao-Ming Gong, Zhengxian Li, Pei-Feng School of Computer Science and Technology Soochow University Suzhou215006 China Key Lab of Computer Information Processing Technology of Jiangsu Province Suzhou215006 China

ISBN: (纸本)9781595937575

Currently, there are many researches focusing on grid scheduling and more and more scheduling algorithms were proposed. However, those algorithms are not satisfied with the requirement of the grid for ignoring its characteristics of dynamics, autonomy, distributing, etc. Therefore, this paper proposes an adaptable dynamic job scheduling approach based on historical information (ADJSA). This approach adjusts the predicting model automatically by using the recent jobs execution historical information and then selects the appropriate resource to execute the job considering dynamic and real-time factors of the Grid.

关键词： Grid computing

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Towards termination criteria of ant colony optimization

Towards termination criteria of ant colony optimization

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3rd International Conference on Natural Computation, ICNC 2007

作者： Lv, Qiang Xia, Oyan School of Computer Science and Technology Suzhou University Suzhou Jiangsu 215006 China Provincial Key Lab. for Computer Information Processing Technology Suzhou Jiangsu 215006 China

ISBN: (纸本)0769528759

Ant colony optimization (ACO for short) has been proved a successful meta-heuristic by a huge of empirical studies. This paper discusses the termination criteria of ACO and therefore provides research ideas to other meta-heuristics. A general discussion about four types of termination criteria has been firstly discussed in this article. Then some measures of convergence based on pheromone have been introduced. And a new termination criterion based on Bayesian approach is presented. Finally a new convergence proof for a class of ACO algorithms is presented. © 2007 IEEE.

关键词： Heuristic methods

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Robust dynamic skeleton extraction for blood vessels based on the level set method

Robust dynamic skeleton extraction for blood vessels based o...

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6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Cui, Zhiming Xu, Jing Feng, Daming Wu, Jian Institute Of Intelligent Information Processing and Application Soochow University Jiangsu 215006 China Department Of Computer S and T Soochow University Jiangsu Province Computer IT Key Lab. 215006 China

ISBN: (纸本)9780769537351

Skeleton has very important applications in objects expression, data compression, computer vision and animation. In the discrete space, the basic skeleton algorithms have two categories: one is thinning, the other is based on the distance transformation, in a high-dimensional space generatedfrom the suiface to form the ridge to create a skeleton. The skeleton which is based on the distance transform algorithm is accurate and smooth, but we must carefully check its continuity. Such a check of the continuity would be very difficult when the skeleton structure is complex. The biggest advantage ofthinning algorithm is that it can ensure that the skeleton is in a row and keeps the main topology of the initial target, but the general position is not accurate. In this paper, combining thinning algorithms and level set model, a dynamic robust vascular skeleton extraction algorithm is proposed. First using thinning technology to generate initial skeleton in a row, and then based on the level set model, it will guide the initial framework to the correct position. In this paper, the skeleton extracted from our algorithm not only maintains the exact location and the smooth appearance in a row at the same time curbs the noise of the border with a good robustness. © 2009 IEEE.

关键词： Blood vessels

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Robust centerline extraction for tree-like blood vessels based on the region growing algorithm and level-set method

Robust centerline extraction for tree-like blood vessels bas...

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6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Xu, Jing Feng, Darning Wu, Jian Cui, Zhirning Institute Ofintelligent Information Processing and Application Soochow University Jiangsu 215006 China Department of Computer S and T Soochow University Jiangsu Province Computer IT Key Lab. 215006 China

ISBN: (纸本)9780769537351

In this paper, we present a tree-like blood vessels based on the region growing algorithm and level sets methodfor computing centerlines for both 2D and 3D shape analysis. Consider the tree-like vascular structure, we first use region growing technology to generate the shortest distance from the given root to all the pixels, ground on the distance can detect all the extreme nodes of branches automatically. Propagate wave-front from a point of skeleton line with the level sets, track the points of the largest curvature on the suiface of the wave-front, through solute differential equations, the skeleton can be gained. The proposed method is computationally inexpensive, not only maintain the position exactly and the shape smoothly and connectedly, and less sensitive to boundary noise. © 2009 IEEE.

关键词： Blood vessels

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