Advanced maximum margin learning techniques for large scale vision tasks
Computer science has been experiencing a paradigm shift because of the emergence of “big data”, so is computer vision. The explosion of images and videos on the Internet and the availability of large amounts of annotated data have brought out unprecedented opportunities and fundamental challenges on...
Saved in:
Main Author: | Chen, Lin |
---|---|
Other Authors: | Xu Dong |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/61769 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Large margin classifications and their applications in computer vision
by: Li, Xuchun
Published: (2008) -
Advanced topics in learning to hash for large-scale retrieval
by: Huang, Long-Kai
Published: (2020) -
Batch mode adaptive multiple instance learning for computer vision tasks
by: Li, Wen, et al.
Published: (2013) -
An empirical study on adaptation methods for large-scale vision-language models
by: Wang, Annan
Published: (2023) -
Semisupervised biased maximum margin analysis for interactive image retrieval
by: Zhang, Lining., et al.
Published: (2012)