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TREC Video Retrieval Evaluation, TRECVID 2009

作者： Xue, Xiangyang Zheng, Yingbin Liu, Hong Wen, Zhaohui Guo, Xiaochuan Wei, Renzhong Lu, Hong Zhang, Qi Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University China

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English-Chinese Bi-Directional OOV translation based on Web mining and supervised learning

English-Chinese Bi-Directional OOV translation based on Web ...

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Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language processing of the AFNLP, ACL-IJCNLP 2009

作者： Zhang, Yuejie Wang, Yang Xue, Xiangyang School of Computer Science Shanghai Key Laboratory of Intelligent Information Processing Fudan University Shanghai 200433 China

ISBN: (纸本)9781617382581

In Cross-Language information Retrieval (CLIR), Out-of-Vocabulary (OOV) detection and translation pair relevance evaluation still remain as key problems. In this paper, an English- Chinese Bi-Directional OOV translation model is presented, which utilizes Web mining as the corpus source to collect translation pairs and combines supervised learning to evaluate their association degree. The experimental results show that the proposed model can successfully filter the most possible translation candidate with the lower computational cost, and improve the OOV translation ranking effect, especially for popular new words. © 2009 ACL and AFNLP.

关键词： Supervised learning

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Combining different visual vocabularies with different sizes for image categorization

Combining different visual vocabularies with different sizes...

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2009 2nd Asia-Pacific Conference on Computational Intelligence and Industrial Applications, PACIIA 2009

作者： Luo, Hui-Lan Wei, Hui Ren, Yuan Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University Shanghai 200433 China School of Information Engineering Jiangxi University of Science and Technology Ganzhou Jiangxi Province China

ISBN: (纸本)9781424446070

In this paper, the advantages of ensemble methods are applied to image categorization. A novel method is introduced for image categorization by combining various visual vocabularies with different sizes in the popular vocabulary approach. The vocabulary approach describes an image as a bag of discrete visual codewords, where the frequency distributions of these words are used for image categorization. Based on vocabularies of various sizes, a classifier ensemble is learned, which can jointly exploit different information with various granularities. High classification accuracies of the proposed algorithm are demonstrated on four different datasets. ©2009 IEEE.

关键词： Classification (of information)

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Research on time dependent vehicle routing problem with simultaneous delivery and pickup

Research on time dependent vehicle routing problem with simu...

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5th International Conference on Natural Computation, ICNC 2009

作者： Zhang, Tao Zhang, Yue-Jie Lai, Wen-Wei Hu, Jia-Yan School of Information Management and Engineering Shanghai University of Finance and Economics Shanghai 200433 China School of Computer Science Shanghai Key Laboratory of Intelligent Information Processing Fudan University Shanghai 200433 China

ISBN: (纸本)9780769537368

Considering that travel routing costs change with time against the background of reverse logistics, this paper presents the time dependent vehicle routing problem of simultaneous delivery and pick-up(TDVRPSDP), and establishes the mixed integer programming model of TD-VRPSDP. The pheromone updating strategy based on rank-based ant colony system and max-min ant system algorithm are used for solving TD-VRPSDP. Time heuristic in Ant Colony System (ACS) is designed for the constraint of dynamic routing characteristics and time windows in TDVRPSDP. Eight group test instances are generated in the numerical simulation experiments. The results show that the ACS designed in this paper can solve TDVRPSDP well. © 2009 IEEE.

关键词： Pickups

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A 5-Parameter bundld adjustment method for image mosaic

A 5-Parameter bundld adjustment method for image mosaic

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8th IEEE/ACIS International Conference on computer and information science, ICIS 2009

作者： Fang, Xianyong Luo, Bin Zhao, Haifeng Zhang, Yiwen Key Lab. of Intelligent Computing and Signal Processing of MOE School of Computer Science and Technology Anhui University China

ISBN: (纸本)9780769536415

A 5-parameter bundle adjustment method is proposed in this paper for global mosaic of an image sequence. By decomposing the rotation matrix into a 3-parameter rotation axis and a rotation angle, to each image, there are 5 parameters that need estimate for rotation axis, rotation angle and focal length. The proposed method minimizes the distance between feature matches in 3D space so that these 5 parameters are refined gradually for final stitching of all images together. Experimental results suggest that this method is an useful extension to existing research with the advantages of real 3D camera motion, accurate 5-parameter rotation decomposition and reliable 3D feature definition. © 2009 IEEE.

关键词： Rotation

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Towards keyword search over relational databases in DHT networks

Towards keyword search over relational databases in DHT netw...

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15th International Conference on Parallel and Distributed Systems, ICPADS '09

作者： Yu, Jian Guan, Jihong Xu, Jianliang Zhou, Shuigeng Department of Computer Science and Technology Tongji University Shanghai 201804 China Department of Computer Science Hong Kong Baptist University Hong Kong Hong Kong Shanghai Key Lab. of Intelligent Information Processing Fudan University Shanghai 200433 China School of Computer Science Fudan University Shanghai 200433 China

ISBN: (纸本)9780769539003

Recent research has shown that keyword search is a friendly and potentially effective way to retrieve information of interest over relational databases. Existing work has generally focused on implementing keyword search in centralized databases. This paper addresses keyword search over distributed databases. We adopts distributed hash tables (DHTs) - a peer-to-peer inspired overlay network technology - as the infrastructure to implement keyword search over relational databases. For this end, we combine IR-based ranking techniques with a P2P-based indexing strategy, and propose an effective approach. Extensive experiments over real-world datasets show that our approach is effective and efficient. © 2009 IEEE.

关键词： Peer to peer networks

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BiodMHC:an online server for the prediction of MHC class Ⅱ-peptide binding affinity

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Journal of Genetics and Genomics 2009年第5期36卷 289-296页

作者： Lian Wang Danling Pan Xihao Hu Jinyu Xiao Yangyang Gao Huifang Zhang Yan Zhang Juan Liu Shanfeng Zhu School of Computer Wuhan University Wuhan 430079 China School of Computer Science Fudan University Shanghaz 200433 China Shanghai Key Lab of Intelligent Information Processing Fudan University Shanghai 200433 China

Effective identification of major histocompatibility complex （MHC） molecules restricted peptides is a critical step in discovering immune epitopes. Although many online servers have been built to predict class Ⅱ MHC-peptide binding affinity, they have been trained on different datasets, and thus fail in providing a unified comparison of various methods. In this paper, we present our implementation of seven popular predictive methods, namely SMM-align, ARB, SVR-pairwise, Gibbs sampler. ProPred, LP-top2, and MHCPred, on a single web server named BiodMHC （http：//***/BiodMHC/***, the software is available upon request）. Using a standard measure of AUC （Area Under the receiver operating characteristic Curves）, we compare these methods by means of not only cross validation but also prediction on independent test datasets. We find that SMM-align, ProPred, SVR-pairwise, ARB, and Gibbs sampler are the five best-performing methods. For the binding affinity prediction of class Ⅱ MHC-peptide, BiodMHC provides a convenient online platform for researchers to obtain binding information simultaneously using various methods.

关键词： MHC Ⅱ MHC-peptide binding predictions web server

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SAR image despeckling based on edge detection and nonsubsampled second generation bandelets

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Journal of Systems Engineering and Electronics 2009年第3期20卷 519-526页

作者： Zhang Wenge~(1,2),Liu Fang~(1,2),Jiao Licheng~(2,3)& Gao Xinbo~(2,3) 1.school of computer science and technology,Xidian Univ.,Xi’an 710071,P.R.China 2.key lab.of intelligent Perception and Image Understanding of Ministry of Education of China,Xi’an 710071,P.R.China 3.Inst,of intelligent information processing,Xidian Univ.,Xi’an 710071,P.R.China School of Computer Science and Technology Xidian Univ. Xi'an 710071 P. R. China Key Lab. of Intelligent Perception and Image Understanding of Ministry of Education of China Xi'an 710071 P. R. China Key Lab. of Intelligent Perception and Image Understanding of Ministry of Education of China Xi'an 710071 P. R. China Inst. of Intelligent Information Processing Xidian Univ. Xi'an 710071 P. R. China

To preserve the sharp features and details of the synthetic aperture radar （SAR） image effectively when despeckling, a despeckling algorithm with edge detection in nonsubsampled second generation bandelet transform （NSBT） domain is proposed. First, the Canny operator is utilized to detect and remove edges from the SAR image. Then the NSBT which has an optimal approximation to the edges of images and a hard thresholding rule are used to approximate the details while despeckling the edge-removed image. Finally, the removed edges are added to the reconstructed image. As the edges axe detected and protected, and the NSBT is used, the proposed algorithm reaches the state-of-the-art effect which realizes both despeckling and preserving edges and details simultaneously. Experimental results show that both the subjective visual effect and the mainly objective performance indexes of the proposed algorithm outperform that of both Bayesian wavelet shrinkage with edge detection and Bayesian least square-Gaussian scale mixture （BLS-GSM）.

关键词： computer image processing synthetic aperture radar speckle edge detection nonsubsampled second generation bandelet transform Canny operator threshold shrinkage.

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A wavelet-domain structure similarity for image quality assessment

A wavelet-domain structure similarity for image quality asse...

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2009 2nd International Congress on Image and Signal processing, CISP'09

作者： Lixiong, Liu Yuanquan, Wang Yuwei, Wu Beijing Lab. of Intelligent Information Technology School of Computer Science Beijing Institute of Technology Beijing China Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin China

ISBN: (纸本)9781424441310

Recent studies have found that adoption of structure similarity index (SSIM) was successful in reflecting human visual characteristic better compared with traditional PSNR metrics. However this method shows some defects when evaluating the quality of blurred images and compressed degraded images at low bit rate. Good quality results were hardly achieved as they do not match the human vision system (HVS) well. This paper is to introduce a new image quality assessment algorithm based on wavelet-domain structure similarity (WDSSIM). The relative importance of the edge information under different scales is considered sufficiently in image quality assessment. The experimental results have demonstrated better consistency with the subjective perception for a large range of image types. ©2009 IEEE.

关键词： Image quality

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Exact solution for mean first-passage time on a pseudofractal scale-free web

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Physical Review E 2009年第2期79卷 021127-021127页

作者： Zhongzhi Zhang Yi Qi Shuigeng Zhou Wenlei Xie Jihong Guan School of Computer Science Fudan University Shanghai 200433 China Shanghai Key Lab of Intelligent Information Processing Fudan University Shanghai 200433 China Department of Computer Science and Technology Tongji University 4800 Cao’an Road Shanghai 201804 China

The explicit determinations of the mean first-passage time (MFPT) for trapping problem are limited to some simple structure, e.g., regular lattices and regular geometrical fractals, and determining MFPT for random walks on other media, especially complex real networks, is a theoretical challenge. In this paper, we investigate a simple random walk on the the pseudofractal scale-free web (PSFW) with a perfect trap located at a node with the highest degree, which simultaneously exhibits the remarkable scale-free and small-world properties observed in real networks. We obtain the exact solution for the MFPT that is calculated through the recurrence relations derived from the structure of PSFW. The rigorous solution exhibits that the MFPT approximately increases as a power-law function of the number of nodes, with the exponent less than 1. We confirm the closed-form solution by direct numerical calculations. We show that the structure of PSFW can improve the efficiency of transport by diffusion, compared with some other structure, such as regular lattices, Sierpinski fractals, and T-graph. The analytical method can be applied to other deterministic networks, making the accurate computation of MFPT possible.

关键词： complex networks diffusion fractals graph theory random processes COMPLEX NETWORKS RANDOM-WALKS FRACTIONAL DYNAMICS FREE NETS DIFFUSION GRAPHS SUBDIFFUSION TRANSPORT MEDIA MODEL

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