| 基于张量模式的特征提取及分类器设计综述 |
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| 引用本文： | 张丽梅,乔立山,陈松灿. 基于张量模式的特征提取及分类器设计综述[J]. 山东大学学报(工学版), 2009, 39(1): 6-14 |
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| 作者姓名： | 张丽梅 乔立山 陈松灿 |
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| 作者单位： | 张丽梅,乔立山,ZHANG Li-mei,QIAO Li-shan(南京航空航天大学计算机科学与工程系,江苏,南京,210016;聊城大学数学科学学院,山东,聊城,252000);陈松灿,CHEN Song-can(南京航空航天大学计算机科学与工程系,江苏,南京,210016) |
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| 基金项目： | 高等学校博士学科点专项科研基金 |
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| 摘 要： | 摘要：(高阶)张量模式作为传统向量模式的扩展和补充,近年来已引起机器学习、模式识别等领域的广泛关注.对现有张量型学习算法进行总结:针对向量模式表示存在的问题,讨论了设计张量型学习算法的必要性和重要意义;从特征提取和分类器设计2个层面,对现有张量型学习算法进行分类和汇总,并着重从多线性投影方式出发,讨论了其内在联系及优缺点;分析了张量模式与向量模式表示间的本质关系及各自优势;探讨了张量型学习算法有待解决的问题及可能的研究趋势.
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| 关 键 词： | 张量 模式表示 特征提取 降维 分类器设计 |
| 收稿时间： | 2009-01-15 |
A survey of feature extraction and classifier design based on tensor pattern |
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| ZHANG Li-mei,,QIAO Li-shan,CHEN Song-can. A survey of feature extraction and classifier design based on tensor pattern[J]. Journal of Shandong University of Technology, 2009, 39(1): 6-14 |
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| Authors: | ZHANG Li-mei QIAO Li-shan CHEN Song-can |
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| Affiliation: | 1. Department of Computer Science & Engineering;Nanjing University of Aeronautics & Astronautics;Nanjing 210016;China;2. School of Mathematics Sciencee;Liaocheng University;Liaocheng 252000;China |
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| Abstract: | As an extension and complementarity of typical vector patterns,high order tensor patterns have recently attracted attention in the fields of machine learning and pattern recognition. The current tensor-based learning algorithms in terms of the following aspects are summarized:focusing on the existing problems of vector pattern representation,the necessity and importance of designing tensorized learning algorithms were discussed. From the facets of feature extraction and classifier design,some typical tensor... |
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| Keywords: | tensor pattern representation feature extraction dimensionality reduction classifier design |
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