Visual Domain Adaptation

被引:621
作者
Patel, Vishal M.
Gopalan, Raghuraman
Li, Ruonan [1 ]
Chellappa, Rama [2 ,3 ,4 ,5 ,6 ,7 ]
机构
[1] Harvard Univ, Cambridge, MA 02138 USA
[2] Univ Maryland UMD, Engn, College Pk, MD USA
[3] Univ Maryland UMD, Elect & Commun Engn Dept, College Pk, MD USA
[4] Int Assoc Pattern Recognit, Adelaide, SA, Australia
[5] Opt Soc Amer, Washington, DC USA
[6] Amer Assoc Advancement Sci, Cambridge, MA USA
[7] Assoc Comp Machinery, New York, NY USA
关键词
OBJECT RECOGNITION; KERNEL; MODEL; CLASSIFICATION;
D O I
10.1109/MSP.2014.2347059
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
引用
收藏
页码:53 / 69
页数:17
相关论文
共 102 条
  • [1] [Anonymous], 2010, P 18 ACM INT C MULT
  • [2] [Anonymous], 2010, Advances in neural information processing systems
  • [3] [Anonymous], 2009, Fast convex optimization algorithms for exact recovery of a corrupted low-rank matrix
  • [4] [Anonymous], 2012, P 29 INT C MACHINE L
  • [5] [Anonymous], 2013, Decaf: A deep convolutional activation feature for generic visual recognition
  • [6] [Anonymous], 2007, Proceedings of the National Conference on Artificial Intelligence
  • [7] [Anonymous], THESIS U ILLINOIS UR
  • [8] Aytar Y, 2011, IEEE I CONF COMP VIS, P2252, DOI 10.1109/ICCV.2011.6126504
  • [9] Unsupervised Domain Adaptation by Domain Invariant Projection
    Baktashmotlagh, Mahsa
    Harandi, Mehrtash T.
    Lovell, Brian C.
    Salzmann, Mathieu
    [J]. 2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2013, : 769 - 776
  • [10] Balakrishnan s, 2013, ICML workshop on challenges in representation learning