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检索条件"机构=Key Laboratory of the Ministry of Education for Data Engineering and Knowledge Engineering"
3233 条 记 录,以下是411-420 订阅
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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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Applying model-transformation techniques to ontology evolution
Applying model-transformation techniques to ontology evoluti...
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2nd International Conference on Grid Service engineering and Management, GSEM 2005 - Co-located with the 6th International Conference on Net.ObjectDays 2005, NODe 2005
作者: Jin, Longfei Liu, Lei Guo, Degui Key Laboratory of Symbolic Computation Knowledge Engineering of Ministry of Education of China Jilin University Changchun China
Ontology evolution in the Model Driven Semantic Web can be looked as a process of model transformations. A model-transformation based conceptual framework for ontology evolution is presented in the paper. Applications... 详细信息
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S-SimRank: Combining Content and Link Information to Cluster Papers Effectively and Efficiently
S-SimRank: Combining Content and Link Information to Cluster...
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4th International Conference on Advanced data Mining and Applications
作者: Cai, Yuanzhe Li, Pei Liu, Hongyan He, Jun Du, Xiaoyong Key Labs of Data Engineering and Knowledge Engineering Ministry of Education China Department of Computer Science Renmin University of China China Department of Management Science and Engineering Tsinghua University China
Both Content analysis and link, analysis have its advantages in measuring relationships among documents. In this paper. we propose a new method to combine these two methods to compute the similarity of research papers... 详细信息
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Combining greedy method and genetic algorithm to identify transcription factor binding sites
Combining greedy method and genetic algorithm to identify tr...
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6th International Conference on Hybrid Intelligent Systems and 4th Conference on Neuro-Computing and Evolving Intelligence, HIS-NCEI 2006
作者: Wanyu, Wang Xiaoyu, Chang Chunguang, Zhou Key Laboratory of Symbol Computation and Knowledge Engineering Juin University Ministry of Education Changchun 130012 China
Identification of Transcription Factor Binding Sites (TFBS) from the upstream region of genes remains a highly important and unsolved problem particularly in higher eukaryotic genomes. In this paper, we propose a nove... 详细信息
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Design for network camera based on DSP
Design for network camera based on DSP
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2006 International Conference on Hybrid Information Technology, ICHIT 2006
作者: Zhezhou, Yu Yuchen, Xie Congying, Lv Chunguang, Zhou Faner, Meng Lei, Liu Key Laboratory of Symbolic Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China
The hardware design of the DSP-based network camera is described in this paper which includes the implementation of CCD camera, DSP, Flash, SDRAM, CPLD, and Ethernet. The program of JPEG2000has been tested on the desi... 详细信息
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Spatial reasoning based spatial data mining for precision agriculture
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APWeb 2006 International Workshops: XRA, IWSN, MEGA, and ICSE
作者: Wang, Sheng-Sheng Liu, Da-You Wang, Xin-Ying Liu, Jie Key Laboratory of Symbolic Computing and Knowledge Engineering of Jilin University Ministry of Education 130012 Changchun China
knowledge discovery in spatial databases represents a particular case of discovery, allowing the discovery of relationships that exist between spatial and non-spatial data. Spatial reasoning ought to play a very impor... 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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Computing minimal diagnosis with binary decision diagrams algorithm
Computing minimal diagnosis with binary decision diagrams al...
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6th International Conference on Fuzzy Systems and knowledge Discovery, FSKD 2009
作者: Wang, Kun Li, Zhan-Shan Ai, Yang Zhang, Yong-Gang Key Laboratory of Symbolic Computation Knowledge Engineering for Ministry of Education Jilin University Jilin Changchun China
In this paper we propose an algorithm of computing minimal diagnosis based on BDD (Binary Decision Diagram). First we give the concept of disjunction equations, and map the collection of conflict sets into disjunction... 详细信息
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Graph-based fast image segmentation
Graph-based fast image segmentation
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Joint IAPR International Workshops on Structural, Syntactic, and Statistical Pattern Recognition, SSPR 2006 and SPR 2006
作者: Han, Dongfeng Li, Wenhui Lu, Xiaosuo Li, N. Wang, Yi Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education Jilin University Changchun 130012 China
In this paper, we describe a fast semi-automatic segmentation algorithm. A nodes aggregation method is proposed for improving the running time and a Graph-Cuts method is used to model the segmentation problem. The who... 详细信息
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