Gestalt-based feature similarity measure in trademark database-Reference-Cited by-同舟云学术

Gestalt-based feature similarity measure in trademark database

Published:2006-05 Issue:5 Volume:39 Page:988-1001
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Jiang Hui,Ngo Chong-Wah,Tan Hung-Khoon

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference35 articles.

1. Laws of Organization in Perceptual Forms;Wertheomer,1950

2. An n2.5 algorithm for maximum matching in bipartite graphs;Hopcroft;SIAM J. Comput.,1973

3. Faster scaling algorithms for network problems;Gabow;SIAM J. Comput.,1989

4. The hungarian method for the assignment problem;Kuhn;Nav. Res. Logistics Q.,1955

5. P.K. Agarwal, K. Varadarajan, Approximation algorithms for bipartite and non-bipartite matching in the plane, in: ACM-SIAM Symposium on Discrete Algorithms, 1999, pp. 805–814.

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-input trademark element recognition with transformer;Multimedia Tools and Applications;2024-02-29

2. WiFiTuned: Monitoring Engagement in Online Participation by Harmonizing WiFi and Audio;INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION;2023-10-09

3. Trademark image retrieval via transformation-invariant deep hashing;Journal of Visual Communication and Image Representation;2019-02

4. Microscopic malaria parasitemia diagnosis and grading on benchmark datasets;Microscopy Research and Technique;2018-09

5. Rouleaux red blood cells splitting in microscopic thin blood smear images via local maxima, circles drawing, and mapping with original RBCs;Microscopy Research and Technique;2018-04-10