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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:110/2
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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
LacGCL: Lightweight message masking with linear attention and cross-view interaction graph contrastive learning for recommendation
期刊论文
INFORMATION PROCESSING AND MANAGEMENT, 2025, 卷号: 62, 期号: 1
作者:
Jia, Haohe
;
Hou, Peng
;
Zhou, Yong
;
Zhu, Hongbin
;
Chai, Hongfeng
Adobe PDF(1539Kb)
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浏览/下载:324/2
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提交时间:2024/11/08
Adversarial machine learning
Federated learning
Computational costs
Cross-view
Dense matrix
Graph neural networks
Graph structures
High-accuracy
Interaction graphs
Learning methods
Matrix operations
Recommendation accuracy
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:
Haotian Tian
;
Lixiang Lian
Adobe PDF(1279Kb)
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浏览/下载:38/2
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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
Data-Driven Optimal Feedback Laws via Kernel Mean Embeddings
预印本
2024
作者:
Bevanda, Petar
;
Hoischen, Nicolas
;
Sosnowski, Stefan
;
Hirche, Sandra
;
Houska, Boris
Adobe PDF(1915Kb)
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浏览/下载:299/2
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提交时间:2024/08/14
kernel mean embeddings
optimal control
machine learning
data-driven control
kernel methods
A novel bilateral stream neural network for melt pool monitoring during laser direct energy deposition
期刊论文
JOURNAL OF INTELLIGENT AND FUZZY SYSTEMS, 2024, 卷号: 46, 期号: 4, 页码: 7727-7738
作者:
Wang, Zhongan
;
Li, Honghai
;
Pang, Minghao
;
Wu, Yingna
;
Yang, Rui
Adobe PDF(702Kb)
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浏览/下载:362/3
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提交时间:2024/06/07
Deposition
High speed cameras
Lakes
Learning algorithms
Machine learning
Metal cutting
Bilateral stream neural network
Bonding conditions
Detection methods
Dilution rate
Energy depositions
Laser direct energy deposition
Melt pool
Melt pool state
Metal parts
Neural-networks
Identification of key genes associated with persistent immune changes and secondary immune activation responses induced by influenza vaccination after COVID-19 recovery by machine learning methods
期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2024, 卷号: 169
作者:
Ren, Jingxin
;
Zhou, XianChao
;
Huang, Ke
;
Chen, Lei
;
Guo, Wei
Adobe PDF(8347Kb)
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浏览/下载:303/0
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提交时间:2024/01/19
Blood
Chemical activation
Gene expression
Machine learning
Patient treatment
Recovery
Vaccines
Blood samples
COVID-19 recovery
Genes expression
Healthy controls
Immune activation
Immune change
Influenza vaccines
Machine learning methods
Machine-learning
Sample sets
Research on beam dynamics optimization of a storage ring based on machine learning
会议论文
2023 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND NEXT GENERATION NETWORKS(ICNGN), Hangzhou, China, 17-18 November 2023
作者:
Ruichun Li
;
Qinglei Zhang
;
Zhentang Zhao
;
Changliang Li
;
Kun Wang
Adobe PDF(601Kb)
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浏览/下载:229/0
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提交时间:2023/11/23
machine learning
calibration and fitting methods
synchrotron light sources
cluster finding
storage ring
convolutional neural network
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
会议论文
PROCEEDINGS OF THE IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2024, Seattle, WA, United states, June 16, 2024 - June 22, 2024
作者:
Li, Hongxia
;
Huang, Wei
;
Wang, Jingya
;
Shi, Ye
Adobe PDF(3593Kb)
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浏览/下载:18/3
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提交时间:2025/03/28
Adversarial machine learning
Collaborative learning
Contrastive Learning
Learning systems
Transfer learning
Visual languages
CLIP
Communication cost
Current fed
Data heterogeneity
Down-stream
Learning frameworks
Learning methods
Local training
Optimal transport
Prompt learning
Federated Learning
Prompt Learning
Optimal Transport
Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time
期刊论文
LIGHT: SCIENCE AND APPLICATIONS, 2023, 卷号: 12, 期号: 1
作者:
Kang, Iksung
;
Wu, Ziling
;
Jiang, Yi
;
Yao, Yudong
;
Deng, Junjing
Adobe PDF(5874Kb)
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浏览/下载:515/0
|
提交时间:2023/06/16
Backpropagation
Complex networks
Electromagnetic fields
Integrated circuits
Iterative methods
Nanotechnology
TomographyAcquisition time
Angular scanning
Complex fields
Computation time
Machine-learning
Nano scale
Simultaneous algebraic reconstruction technique
Three-dimensional object
Tomographic
Tomographic reconstruction
Multiplicative Sparse Tensor Factorization for Multi-View Multi-Task Learning
会议论文
FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS, Krakow, Poland, September 30, 2023 - October 4, 2023
作者:
Wang, Xinyi
;
Sun, Lu
;
Nguyen, Canh Hao
;
Mamitsuka, Hiroshi
Adobe PDF(783Kb)
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收藏
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浏览/下载:549/186
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提交时间:2023/11/24
Factorization
Learning systems
Machine learning
Heterogeneous data
Learn+
Learning methods
Multi-views
Multiple tasks
Multiple views
Multitask learning
Predictive information
Sparse tensors
Tensor factorization
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