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Progressive self-supervised learning: A pre-training method for crowd counting
期刊论文
PATTERN RECOGNITION LETTERS, 2025, 卷号: 188, 页码: 148-154
作者:
Gu, Yao
;
Zheng, Zhe
;
Wu, Yingna
;
Xie, Guangping
;
Ni, Na
Adobe PDF(2000Kb)
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收藏
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浏览/下载:116/2
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提交时间:2025/02/12
Adversarial machine learning
Contrastive Learning
Federated learning
Crowd counting
Dataset construction
Feature representation
Images classification
Learning methods
Learning process
Modeling performance
Pre-training
Supervised learning approaches
Training methods
GSURE-Based Unsupervised Deep Equilibrium Model Learning for Large-Scale Channel Estimation
会议论文
GLOBECOM 2024 - 2024 IEEE GLOBAL COMMUNICATIONS CONFERENCE, Cape Town, South Africa, 8-12 Dec. 2024
作者:
Adobe PDF(1279Kb)
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收藏
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浏览/下载:48/2
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提交时间:2025/03/18
Adversarial machine learning
Channel estimation
Contrastive Learning
Deep learning
Mean square error
Risk analysis
Risk assessment
Risk perception
Supervised learning
Unsupervised learning
Deep equilibrium model
Equilibrium modelling
Generalized stein unbiased risk estimate
Ground truth
Large-scale channel estimation
Large-scales
Learn+
Learning-based methods
Model learning
Unbiased risk estimates
Self-Supervised Machine Learning Framework for Online Container Security Attack Detection
期刊论文
ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS, 2024, 卷号: 19, 期号: 3
作者:
Tunde-Onadele, Olufogorehan
;
Lin, Yuhang
;
Gu, Xiaohui
;
He, Jingzhu
;
Latapie, Hugo
Adobe PDF(22391Kb)
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收藏
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浏览/下载:242/3
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提交时间:2024/10/25
Adversarial machine learning
Contrastive Learning
Federated learning
Semi-supervised learning
Unsupervised learning
Additional key word and phrasesperformance debugging
Attack detection
Causal analysis
Hybrid learning
Key words
Learning frameworks
Learning schemes
Microservice
Security attacks
Supervised machine learning
Semi-Supervised Learning of Visual Attributes for Automated Assessment of Lung Nodule Malignancy
会议论文
2024 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), Athens, Greece, 27-30 May 2024
作者:
Liyun Chen
;
Linlin Yao
;
Qian Wang
;
Zhong Xue
Adobe PDF(4167Kb)
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收藏
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浏览/下载:203/5
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提交时间:2024/08/26
Adversarial machine learning
Contrastive Learning
Federated learning
Prediction models
Self-supervised learning
Semi-supervised learning
Automated assessment
Classification tasks
Interpretability
Learning models
Lung nodule
Malignancy classification
Prediction modelling
Semi-supervised
Semi-supervised learning
Visual attributes
Harmonizing Generalization and Personalization in Federated Prompt Learning
会议论文
INTERNATIONAL CONFERENCE ON MACHINE LEARNING, Vienna, Austria, July 21, 2024 - July 27, 2024
作者:
Cui, Tianyu
;
Li, Hongxia
;
Wang, Jingya
;
Shi, Ye
Adobe PDF(854Kb)
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收藏
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浏览/下载:237/6
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提交时间:2024/10/11
Adversarial machine learning
Contrastive Learning
Self-supervised learning
Transfer learning
Visual languages
Data heterogeneity
Domain levels
Generalisation
Generalization capability
Generalization capacity
Heterogeneous data
Knowledge guidances
Language model
Modeling abilities
Personalizations
Weakly supervised learning for pattern classification in serial femtosecond crystallography
期刊论文
OPTICS EXPRESS, 2023, 卷号: 31, 期号: 20, 页码: 32909-32924
作者:
Xie, Jianan
;
Liu, Ji
;
Zhang, Chi
;
Chen, Xihui
;
Huai, Ping
Adobe PDF(46123Kb)
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收藏
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浏览/下载:257/0
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提交时间:2024/01/19
Classification (of information)
Crystal structure
Data handling
Diffraction patterns
Electrons
Free electron lasers
Interferometry
Supervised learning
X ray crystallography
Crystals structures
High-resolution structures
Labeled dataset
Laser facilities
Machine learning methods
Patterns classification
Serial femtosecond crystallographies
Supervised methods
Weakly supervised learning
X-ray free electron lasers
Exploiting Contextual Objects and Relations for 3D Visual Grounding
会议论文
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), null,New Orleans,LA, DEC 10-16, 2023
作者:
Yang, Li
;
Yuan, Chunfeng
;
Zhang, Ziqi
;
Qi, Zhongang
;
Xu, Yan
收藏
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浏览/下载:149/0
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提交时间:2024/07/15
3D modeling
Adversarial machine learning
Contrastive Learning
Electric grounding
Natural language processing systems
Object detection
Supervised learning
Three dimensional computer graphics
Visual languages
3D scenes
Contextual information
Detection networks
Modular network
Natural languages
Objects detection
Real world environments
Scene-based
Target object
Visual objects
NCCR: Neighbor and Cluster Consistency Regularization for Improving Graph Node Classification
会议论文
THE 34TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, null,null,ELECTR NETWORK, OCT 31-NOV 02, 2022
作者:
Yang, Feiming
;
Lai, Yurui
Adobe PDF(315Kb)
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收藏
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浏览/下载:397/0
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提交时间:2022/11/19
graph neural networks
regularization
semi-supervised learning
node classification
Computer vision
Graph algorithms
Graph structures
Machine learning
Amount of information
Graph neural networks
Homophily
Learning neural networks
Machine-learning
Node classification
Regularisation
Semi-supervised
Semi-supervised learning
State-of-the-art performance
Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis with Imbalanced Modalities
期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022, 卷号: 41, 期号: 8
作者:
Xiangmin Han
;
Xiaoyan Fei
;
Jun Wang
;
Tao Zhou
;
Shihui Ying
Adobe PDF(2213Kb)
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收藏
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浏览/下载:358/0
|
提交时间:2022/03/04
Computer aided diagnosis
Computer aided instruction
Knowledge management
Neuroimaging
Block diagonal
Block-diagonal low-rank
Classifier algorithms
Doubly supervised transfer classifier
Knowledge transfer
Modality imbalance
Single-modal
Support vector machine plus
Support vectors machine
Transfer learning
SHIL: Self-Supervised Hybrid Learning for Security Attack Detection in Containerized Applications
会议论文
PROCEEDINGS - 2022 IEEE INTERNATIONAL CONFERENCE ON AUTONOMIC COMPUTING AND SELF-ORGANIZING SYSTEMS, ACSOS 2022, Virtual, Online, United states, September 19, 2022 - September 23, 2022
作者:
Lin, Yuhang
;
Tunde-Onadele, Olufogorehan
;
Gu, Xiaohui
;
He, Jingzhu
;
Latapie, Hugo
Adobe PDF(1358Kb)
|
收藏
|
浏览/下载:378/0
|
提交时间:2022/12/02
Errors
Learning systems
Supervised learning
Attack detection
Container security
Data labelling
Hybrid learning
Hybrid machine learning
Learning schemes
Security attack detection
Security attacks
Supervised machine learning
Unsupervised machine learning
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