A comparison of linear and morphological shared-weight neural networks

被引：0
|
作者：
Won, Y [1 ]
Gader, PD [1 ]
机构：
[1] ELECTR & TELECOMMUN RES INST,ARTIFICIAL INTELLIGENCE SECT,KAJUNG DONG 161,SOUTH KOREA
来源：
NONLINEAR IMAGE PROCESSING VII | 1996年 / 2662卷
关键词：
mathematical morphology; neural networks; shared weight networks; handwritten digit recognition; character recognition; automatic target recognition;
D O I：
10.1117/12.235821
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：81 / 92
页数：12
相关论文
共 50 条
  • [41] Weight Uncertainty in Neural Networks
    Blundell, Charles
    Cornebise, Julien
    Kavukcuoglu, Koray
    Wierstra, Daan
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 37, 2015, 37 : 1613 - 1622
  • [42] System identification by cellular neural networks (CNN): Linear interpolation of nonlinear weight functions
    Reinisch, M
    Geis, G
    Tetzlaff, R
    Bioengineered and Bioinspired Systems II, 2005, 5839 : 353 - 358
  • [43] Some applications of morphological neural networks
    Graña, M
    Raducanu, B
    IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2001, : 2518 - 2523
  • [44] On the application of morphological heteroassociattve neural networks
    Raducanu, B
    Graña, M
    2001 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL I, PROCEEDINGS, 2001, : 501 - 504
  • [45] Special issue on morphological neural networks
    Sussner, P
    Graña, M
    JOURNAL OF MATHEMATICAL IMAGING AND VISION, 2003, 19 (02) : 79 - 80
  • [46] Morphological neural networks for localization and mapping
    Villaverde, I.
    Grana, M.
    d'Anjou, A.
    PROCEEDINGS OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MEASUREMENT SYSTEMS AND APPLICATIONS, 2006, : 9 - +
  • [47] SHAMANN: Shared Memory Augmented Neural Networks
    Bercea, Cosmin I.
    Pauly, Olivier
    Maier, Andreas
    Ghesu, Florin C.
    INFORMATION PROCESSING IN MEDICAL IMAGING, IPMI 2019, 2019, 11492 : 830 - 841
  • [48] Comparison of Generalized Profile Function Models Based on Linear Regression and Neural Networks
    Radonja, Pero
    ELEVENTH SYMPOSIUM ON NEURAL NETWORK APPLICATIONS IN ELECTRICAL ENGINEERING (NEUREL 2012), 2012,
  • [49] A comparison of conventional linear regression methods and neural networks for forecasting educational spending
    Baker, BD
    Richards, CE
    ECONOMICS OF EDUCATION REVIEW, 1999, 18 (04) : 405 - 415
  • [50] Light-Weight Branch-Shared Multi-View Convolutional Neural Networks Crowd Counting
    Wang, Yonghui
    Li, Yang
    Tu, Ke
    2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2022,
12345