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检索条件"机构=Zhuhai Laboratory of Key Laboratory of Symbol Computation and Knowledge Engineering"
269 条 记 录,以下是241-250 订阅
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Solving job-shop scheduling problems by a novel artificial immune system
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18th Australian Joint Conference on Artificial Intelligence, AI 2005: Advances in Artificial Intelligence
作者: Ge, Hong-Wei Sun, Liang Liang, Yan-Chun Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China
The optimization of job-shop scheduling is very important because of its theoretical and practical significance. This paper proposes an efficient scheduling method based on artificial immune systems. In the proposed m... 详细信息
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DualRank: A dual-phase algorithm for optimal profit mining in retailing market
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10th Asian Computing Science Conference, ASIAN 2005
作者: Xu, Xiujuan Jia, Lifeng Wang, Zhe Zhou, Chunguang Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China
We systematically propose a dual-phase algorithm, DualRank, to mine the optimal profit in retailing market. DualRank algorithm has two major phases which are called mining general profit phase and optimizing profit ph... 详细信息
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A hidden markov model and immune particle swarm optimization-based algorithm for multiple sequence alignment
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18th Australian Joint Conference on Artificial Intelligence, AI 2005: Advances in Artificial Intelligence
作者: Ge, Hong-Wei Liang, Yan-Chun Jilin University Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education Changchun 130012 China
Multiple sequence alignment (MSA) is a fundamental and challenging problem in the analysis of biologic sequences. In this paper, an immune particle swarm optimization (IPSO) is proposed, which is based on the models o... 详细信息
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Mining maximal sequential patterns
Mining maximal sequential patterns
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2005 International Conference on Neural Networks and Brain Proceedings, ICNNB'05
作者: Guan, En-Zheng Chang, Xiao-Yu Wang, Zhe Zhou, Chun-Guang Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China
To solve the problem that when patterns are long, frequent sequential patterns mining may generate an exponential number of results, which often makes decision-makers perplexed for there is too much useless repeated i... 详细信息
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Robust estimation of the fundamental matrix based on an error model
Robust estimation of the fundamental matrix based on an erro...
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International Conference on Machine Learning and Cybernetics, ICMLC 2005
作者: Zhong, Hui-Xiang Feng, Yue-Ping Pang, Yun-Jie Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China
A new method is presented for robustly estimating fundamental matrix from matched points. The method comprises two parts. The first uses a robust technique-the random sample consensus (RANSAC) to discard outliers in a... 详细信息
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An extended system method for consistent fundamental matrix estimation
An extended system method for consistent fundamental matrix ...
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International Conference on Intelligent Computing, ICIC 2005
作者: Zhong, Huixiang Feng, Yueping Pang, Yunjie Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China
This paper is concerned with solution of the consistent fundamental matrix estimation in a quadratic measurement error model. First an extended system for determining the estimator is proposed, and an efficient implem... 详细信息
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An integration of cotraining and KNN for LPU problem
An integration of cotraining and KNN for LPU problem
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2nd Indian International Conference on Artificial Intelligence, IICAI 2005
作者: Xin, RuiMing Zuo, WanLi Yang, Ping Key Laboratory of Symbol Computation and Knowledge Engineering College of Computer Science and Technology JiLin University Changchun 130012 China
Under the framework of LPU (learning from positive data and unlabeled data), this paper originally proposes a three-step algorithm. First, Co-Training is employed for filtering out the "suspect positive" dat... 详细信息
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Noise suppression of fluorescein angiogram sequences using bilateral filter
Noise suppression of fluorescein angiogram sequences using b...
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International Conference on Machine Learning and Cybernetics, ICMLC 2005
作者: Guo, Xiao-Xin Lu, Yi-Nan Xu, Zhi-Wen Liu, Zhan-Hui Wang, Yun-Xiao Pang, Yun-Jie Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Qianjin Street 2699 Changchun 130012 China
In this paper, a relatively flexible filter called extended bilateral filter is proposed, by which some particular filters can be designed via selecting an appropriate pixel of interest (POI) and defining a kernel for... 详细信息
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An application of Fourier-Mellin transform in image registration
An application of Fourier-Mellin transform in image registra...
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Fifth International Conference on Computer and Information Technology, CIT 2005
作者: Guo, Xiaoxin Xu, Zhiwen Lu, Yinan Pang, Yunjie Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Qianjin Street 2699 Changchun 130012 China
Fourier-Mellin transform (FMT) is frequently used in content-based image retrieval and digital image watermarking. This paper extends the application of FMT into image registration and proposes an improved registratio... 详细信息
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Qualitative spatial relationships cleaning for spatial data mining
Qualitative spatial relationships cleaning for spatial data ...
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International Conference on Machine Learning and Cybernetics, ICMLC 2005
作者: Sun, Hai-Bin Li, Wen-Hui Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education College of Computer Science and Technology Jilin University Changchun 130012 China
In this article, we investigate the problem of preparing qualitative spatial relations before implementing spatial data mining by checking consistency in a constraint network, which includes topological and cardinal d... 详细信息
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