FUNDAMENTAL PERFORMANCE LIMITS OF STATISTICAL PROBLEMS: FROM DETECTION THEORY TO SEMI-SUPERVISED LEARNING
Ph.D
Saved in:
Main Author: | HE HAIYUN |
---|---|
Other Authors: | ELECTRICAL & COMPUTER ENGINEERING |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/231542 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
IMPROVING SEMI-SUPERVISED 3D OBJECT DETECTION
by: YEO QI XUN
Published: (2023) -
Semi-supervised co-training and active learning based approach for multi-view intrusion detection
by: Mao C.-H., et al.
Published: (2018) -
Semi-supervised spam detection in Twitter stream
by: Sedhai, Surendra, et al.
Published: (2018) -
RoSAS: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision
by: XU, Hongzuo, et al.
Published: (2023) -
S2match: self-paced sampling for data-limited semi-supervised learning
by: Guan, Dayan, et al.
Published: (2025)