[1]马忠丽,刘权勇,武凌羽,等.一种基于联合表示的图像分类方法[J].智能系统学报,2018,13(2):220-226.[doi:10.11992/tis.201611036]
 MA Zhongli,LIU Quanyong,WU Lingyu,et al.Syncretic representation method for image classification[J].CAAI Transactions on Intelligent Systems,2018,13(2):220-226.[doi:10.11992/tis.201611036]
点击复制

一种基于联合表示的图像分类方法

参考文献/References:
[1] CHEN Jie, SHAN Shiguang, HE Chu, et al. WLD: a robust local image descriptor[J]. IEEE transactions on pattern analysis and machine intelligence, 2010, 32(9): 1705-1720.
[2] XU Yong, ZHANG B, ZHONG Zuofeng. Multiple representations and sparse representation for image classification[J]. Pattern recognition letters, 2015, 68: 9-14.
[3] 祝志远, 张庆辉. 基于视觉感知的人体轮廓捕获及自动调焦[J]. 应用科技, 2016, 43(2): 50-53.
ZHU Zhiyuan, ZHANG Qinghui. An auto focus method for capturing body contours based on visual perception[J]. Applied science and technology, 2016, 6: 50-53.
[4] JIAN M, LAM K M, DONG J. Illumination compensation and enhancement for face recognition[C]//Proceedings of Asia—Pacific Signal and Information Processing Association Annual Summit and Conference. Xi’an: APSIPA, 2011.
[5] HUANG Wei, WANG Xiaohui, MA Yanbo, et al. Robust kernel collaborative representation for face recognition[J]. Optical engineering, 2015, 54(5): 53103.
[6] XU Yong, LI Xuelong, YANG Jian, et al. Integrate the original face image and its mirror image for face recognition[J]. Neurocomputing, 2014, 131: 191-199.
[7] PAYNE T, NICELY M C. Non-rectangular and/or non-orthogonal arrangement of gambling elements in a gaming apparatus[P]. US: US6241607, 2001.
[8] MA Zhongli, LIU Quanyong, HAO Liangliang. Multiple collaborative representations for face recognition[C]//Proceedings of 2016 IEEE International Conference on Mechatronics and Automation. Harbin, China: 2016: 1655-1660.
[9] XU Yong, ZHANG D, YANG Jian, et al. A two-phase test sample sparse representation method for use with face recognition[J]. IEEE transactions on circuits and systems for video technology, 2011, 21(9): 1255-1262.
[10] ZHANG Lei, YANG Meng, FENG Xiangchun. Sparse representation or collaborative representation: which helps face recognition?[C]//Proceedings of 2011 International Conference on Computer Vision. Barcelona, Spain: IEEE, 2011: 471-478.
[11] NASEEM I, TOGNERI R, BENNAMOUN M. Robust regression for face recognition[J]. Pattern recognition, 2012, 45(1): 104-118.
[12] WRIGHT J, MA Yi, MAIRAL J, et al. Sparse representation for computer vision and pattern recognition[J]. Proceedings of the IEEE, 2010, 98(6): 1031-1044.
[13] KOH K, KIM S J, BOYD S. An interior-point method for large-scale l1-regularized logistic regression[J]. The journal of machine learning research, 2007, 8: 1519-1555.
[14] PORTUGAL L F, RESENDE M G C, VEIGA G, et al. A truncated primal-infeasible dual-feasible network interior point method[J]. Networks, 2000, 35(2): 91-108.
[15] SMIELIK I, KUHNERT K D. Statistical dependence of pixel intensities for pattern recognition[C]//IEEE International Conference on Industrial Technology. Cape Town, South Africa: IEEE, 2013: 1179-1183.
[16] 吴鹏, 徐洪玲, 宋文龙. 结合小波金字塔的快速NCC图像匹配算法[J]. 哈尔滨工程大学学报, 2017, 38(05): 791-796.
WU Peng, XU Hongling, SONG Wenlong. A fast NCC image matching algorithm based on wavelet pyramid search strategy[J]. Journal of harbin engineering university, 2017, 5(38): 791-796.
[17] SAMARIA F S, HARTER A C. Parameterisation of a stochastic model for human face identification[C]//Proceedings of 1994 IEEE Workshop on Applications of Computer Vision. Sarasota, FL: IEEE, 1994: 138-142.
[18] PHILLIPS P J, MOON H, RIZVI S A, et al. The FERET evaluation methodology for face-recognition algorithms[J]. IEEE transactions on pattern analysis and machine intelligence, 2000, 22(10): 1090-1104.
[19] NENE S A, NAYAR S K, MURASE H. Columbia object image library (COIL-20), CUCS-005-96[R]. 2011.
[20] NENE S A, NAYAR S K, MURASE H. Columbia object image library (COIL-100), CUCS-006-96[R]. Columbia: Columbia University, 1996.
相似文献/References:
[1]李海峰,杜军平.颜色特征的图像分类技术研究[J].智能系统学报,2008,3(2):65.[doi:CNKI:SUN:ZNXT.0.2008-02-017]
[2]李海峰,杜军平.颜色特征的图像分类技术研究[J].智能系统学报,2008,3(2):155.
 LI Hai-feng,DU Jun-ping.Image classification technology based on color features[J].CAAI Transactions on Intelligent Systems,2008,3():155.
[3]姚伏天,钱沄涛.高斯过程及其在高光谱图像分类中的应用[J].智能系统学报,2011,6(5):396.
 YAO Futian,QIAN Yuntao.Gaussian process and its applications in hyperspectral image classification[J].CAAI Transactions on Intelligent Systems,2011,6():396.
[4]尤雅萍,成运,苏松志,等.基于谱域-空域结合特征和图割原理的高光谱图像分类[J].智能系统学报,2015,10(2):201.[doi:10.3969/j.issn.1673-4785.201410040]
 YOU Yaping,CHENG Yun,SU Songzhi,et al.Hyperspectral image classification based on spectral-spatial combination features and graph cut[J].CAAI Transactions on Intelligent Systems,2015,10():201.[doi:10.3969/j.issn.1673-4785.201410040]
[5]张瑞成,胡绪磊.基于小世界网络的Hopfield联想记忆模型[J].智能系统学报,2014,9(2):214.[doi:10.3969/j.issn.1673-4785.201211050]
 ZHANG Ruicheng,HU Xulei.Research on the hopfield associative memory model based on the small-world network[J].CAAI Transactions on Intelligent Systems,2014,9():214.[doi:10.3969/j.issn.1673-4785.201211050]
[6]赵骞,李敏,赵晓杰,等.基于感受野学习的特征词袋模型简化算法[J].智能系统学报,2016,11(5):663.[doi:10.11992/tis.201601001]
 ZHAO Qian,LI Min,ZHAO Xiaojie,et al.Learning receptive fields for compact bag-of-feature model[J].CAAI Transactions on Intelligent Systems,2016,11():663.[doi:10.11992/tis.201601001]
[7]费宇杰,吴小俊.一种局部聚合描述符和组显著编码相结合的编码方法[J].智能系统学报,2017,12(2):172.[doi:10.11992/tis.201602010]
 FEI Yujie,WU Xiaojun.A new feature coding algorithm based on the combination of group salient coding and VLAD[J].CAAI Transactions on Intelligent Systems,2017,12():172.[doi:10.11992/tis.201602010]
[8]姜英,王延江.REM记忆模型在图像分类识别中的应用[J].智能系统学报,2017,12(3):310.[doi:10.11992/tis.201605010]
 JIANG Ying,WANG Yanjiang.Application of REM memory model in image recognition and classification[J].CAAI Transactions on Intelligent Systems,2017,12():310.[doi:10.11992/tis.201605010]
[9]杨梦铎,栾咏红,刘文军,等.基于自编码器的特征迁移算法[J].智能系统学报,2017,12(6):894.[doi:10.11992/tis.201706037]
 YANG Mengduo,LUAN Yonghong,LIU Wenjun,et al.Feature transfer algorithm based on an auto-encoder[J].CAAI Transactions on Intelligent Systems,2017,12():894.[doi:10.11992/tis.201706037]
[10]刘彪,黄蓉蓉,林和,等.基于卷积神经网络的盲文音乐识别研究[J].智能系统学报,2019,14(1):186.[doi:10.11992/tis.201805002]
 LIU Biao,HUANG Rongrong,LIN He,et al.Research on braille music recognition based on convolutional neural networks[J].CAAI Transactions on Intelligent Systems,2019,14():186.[doi:10.11992/tis.201805002]

备注/Memo

收稿日期:2016-11-30。
基金项目:黑龙江省自然科学基金项目(LC201425).
作者简介:马忠丽,女,1974年生,副教授,博士,主要研究方向为机器视觉、模式识别与机器人技术。主持和参与完成国家自然科学基金项目、黑龙江省自然科学基金项目多项,发表学术论文20余篇;刘权勇,男,1990年生,硕士研究生,主要研究方向为图像分类和人脸识别。
通讯作者:刘权勇.E-mail:690175562@qq.com.

更新日期/Last Update: 1900-01-01
Copyright © 《 智能系统学报》 编辑部
地址:(150001)黑龙江省哈尔滨市南岗区南通大街145-1号楼 电话:0451- 82534001、82518134 邮箱:tis@vip.sina.com