Parallel Hidden Hierarchical Fields for Multi-scale Reconstruction

被引：0
|
作者：
Liu, Ying [1 ]
Fieguth, Paul [1 ]
机构：
[1] Univ Waterloo, Dept Syst Design Engn, Waterloo, ON N2L 3G1, Canada
来源：
ENERGY MINIMIZATION METHODS IN COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS | 2009年 / 5681卷
关键词：
SEGMENTATION; RELAXATION; MODEL;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In any problem involving images having scale-dependent structures, a key issue is the modeling of these multi-scale characteristics. Because multi-scale phenomena frequently possess nonstationary, piece-wise multi-model behaviour, the classic hidden Markov method can not perform well in modeling such complex images. In this paper we provide a new modeling approach to extend previous hierarchical methods, with multiple hidden fields, to perform reconstruction in more complex, nonstationary contexts.
引用
收藏
页码：70 / 83
页数：14
相关论文
共 50 条
  • [31] Multi-scale Hierarchical Residual Network for Dense Captioning
    Tian, Yan
    Wang, Xun
    Wu, Jiachen
    Wang, Ruili
    Yang, Bailin
    JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2019, 64 : 181 - 196
  • [32] Hierarchical Learning Algorithms for Multi-scale Expert Problems
    Yang, Lin
    Chen, Yu-Zhen Janice
    Hajiesmaili, Mohammad H.
    Herbster, Mark
    Towsley, Don
    PROCEEDINGS OF THE ACM ON MEASUREMENT AND ANALYSIS OF COMPUTING SYSTEMS, 2022, 6 (02)
  • [33] Multi-scale Modeling of Animal Movement and General Behavior Data Using Hidden Markov Models with Hierarchical Structures
    Vianey Leos-Barajas
    Eric J. Gangloff
    Timo Adam
    Roland Langrock
    Floris M. van Beest
    Jacob Nabe-Nielsen
    Juan M. Morales
    Journal of Agricultural, Biological and Environmental Statistics, 2017, 22 : 232 - 248
  • [34] Parallel implementation of exact dilations and multi-scale skeletonization
    Luppe, M
    Costa, LD
    Roda, VO
    REAL-TIME IMAGING, 2003, 9 (03) : 163 - 169
  • [35] Multi-scale parallel gated local feature transformer
    Qu, Hangzhou
    Hu, Zhuhua
    Wu, Jiaqi
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [36] Towards heterogeneous multi-scale computing on large scale parallel supercomputers
    Alowayyed S.
    Vassaux M.
    Czaja B.
    Coveney P.V.
    Hoekstra A.G.
    Supercomputing Frontiers and Innovations, 2019, 6 (04) : 20 - 43
  • [37] A New Method of Multi-Scale Receptive Fields Learning
    Feng, Shaorong
    PROCEEDINGS OF THE 2015 INTERNATIONAL SYMPOSIUM ON COMPUTERS & INFORMATICS, 2015, 13 : 2507 - 2515
  • [38] Cascaded Frequency-Encoded Multi-Scale Neural Fields for Sparse-View CT Reconstruction
    Wu, Jia
    Lin, Jinzhao
    Pang, Yu
    Jiang, Xiaoming
    Li, Xinwei
    Meng, Hongying
    Luo, Yamei
    Yang, Lu
    Li, Zhangyong
    IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, 2025, 11 : 237 - 250
  • [39] Multi-scale conditional reconstruction generative adversarial network
    Chen, Yanming
    Xu, Jiahao
    An, Zhulin
    Zhuang, Fuzhen
    IMAGE AND VISION COMPUTING, 2024, 141
  • [40] Automatic reconstruction of neural morphologies with multi-scale tracking
    Choromanska, Anna
    Chang, Shih-Fu
    Yuste, Rafael
    FRONTIERS IN NEURAL CIRCUITS, 2012, 6
12345