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iamdzg木虫 (正式写手)
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[求助]
麻烦查一下这篇文章的EI检索号
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麻烦查一下这篇文章的EI检索号,谢谢！ Algorithm Research for Vector-linked List Sparse Matrix Multiplication Proceedings 2010 Asia-Pacific Conference on wearable Computing Systems, 2010(4). |
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» 本主题相关价值贴推荐，对您同样有帮助:
- 请帮忙查下如下两篇文章的ei检索号 谢谢！
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- 帮忙查询一篇文章是否被EI或ISTP检索
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- 帮忙查找下这篇文章是不是EI检索哦
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- 急求文章的EI检索号(1篇含SCI号），
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- 各位帮忙查下这两篇文章的EI检索号
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- 急用！！麻烦能查检索的楼主帮忙检索一下我的7篇文章是否被SCI、EI检索，十分感谢！
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sys_gao
木虫 (正式写手)
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【答案】应助回帖
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iamdzg: 金币+5, ★★★很有帮助, 谢谢! 2012-08-05 14:25:11
iamdzg: 金币+5, ★★★很有帮助, 谢谢! 2012-08-05 14:25:11
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Accession number: 20102813070530 Title: Algorithm research for vector-linked list sparse matrix multiplication Authors: Hu, Jikuan1 ; Wang, Weiqing1 Author affiliation: 1 Department of Information Management, Southwest University Rongchang Campus, Chongqing, China Corresponding author: Hu, J. (hujikuan@tom.com) Source title: APWCS 2010 - 2010 Asia-Pacific Conference on Wearable Computing Systems Abbreviated source title: APWCS - Asia-Pac. Conf. Wearable Comput. Syst. Monograph title: APWCS 2010 - 2010 Asia-Pacific Conference on Wearable Computing Systems Issue date: 2010 Publication year: 2010 Pages: 118-121 Article number: 5481220 Language: English ISBN-13: 9780769540030 Document type: Conference article (CA) Conference name: 2010 Asia-Pacific Conference on Wearable Computing Systems, APWCS 2010 Conference date: April 17, 2010 - April 18, 2010 Conference location: Shenzhen, China Conference code: 80933 Sponsor: Intelligent Information Technology Application; Research Association Publisher: IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States Abstract: The storage of non-zero elements of sparse matrix in the linked lists can dispense with transpose operation in the multiplication process, because multiplication shall be conducted only for elements in the two sparse matrices whose line number and column number are the same and whose values are not zero. As a result, the number of multiplications will be reduced. In the meantime, the use of linked list to store the elements of matrix will cut back the times of scanning the matrix elements. The theoretical analysis and experimental results show that algorithm of Vector-linked list sparse matrix multiplication has greater time efficiency and needs less storage space. It will lay the foundation for research in the field of image processing. © 2010 IEEE. Number of references: 10 Main heading: Matrix algebra Controlled terms: Image processing - Industrial research - Vector spaces - Vectors - Wearable computers Uncontrolled terms: Cut back - matrix - Matrix elements - Sparse matrices - Storage spaces - Time efficiencies Classification code: 921.1 Algebra - 921 Mathematics - 912.1 Industrial Engineering - 901.3 Engineering Research - 741 Light, Optics and Optical Devices - 723.2 Data Processing and Image Processing - 722.4 Digital Computers and Systems DOI: 10.1109/APWCS.2010.36 Database: Compendex Compilation and indexing terms, © 2012 Elsevier Inc. Full-text and Local Holdings Links |
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