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出处:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
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Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14
作者:
Qi, Xingqun
;
Sun, Muyi
;
Wang, Zijian
;
Liu, Jiaming
;
Li, Qi
;
Zhao, Fang
;
Zhang, Shanghang
;
Shan, Caifeng
Adobe PDF(6718Kb)
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浏览/下载:75/29
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提交时间:2024/02/22
Face photo-sketch synthesis
generative adversarial network
graph representation learning
intraclass and interclass
iterative cycle training (ICT)
Conditional Goal-Oriented Trajectory Prediction for Interacting Vehicles
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:
Li, Ding
;
Zhang, Qichao
;
Lu, Shuai
;
Pan, Yifeng
;
Zhao, Dongbin
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浏览/下载:106/0
  |  
提交时间:2023/12/21
Trajectory
Predictive models
Behavioral sciences
Pipelines
Task analysis
Feature extraction
Vehicle dynamics
Conditional prediction
goal-oriented trajectory prediction
hierarchical vectorized representation
joint trajectory prediction
marginal prediction
Machine Learning for Structure Determination in Single-Particle Cryo-Electron Microscopy: A Systematic Review
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 452-472
作者:
Wu, Jia-Geng
;
Yan, Yang
;
Zhang, Dong-Xu
;
Liu, Bo-Wen
;
Zheng, Qing-Bing
;
Xie, Xiao-Liang
;
Liu, Shi-Qi
;
Ge, Sheng-Xiang
;
Hou, Zeng-Guang
;
Xia, Ning-Shao
收藏
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浏览/下载:237/0
  |  
提交时间:2022/03/17
Machine learning
Periodic structures
Task analysis
Proteins
Photomicrography
Coronaviruses
Machine learning algorithms
Clustering
deep learning (DL)
image processing
machine learning
neural network (NN)
single-particle cryo-electron microscopy (cryo-EM)
Meta-Prototypical Learning for Domain-Agnostic Few-Shot Recognition
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 1-7
作者:
Wang RQ(王瑞琪)
;
Zhang XY(张煦尧)
;
Liu CL(刘成林)
Adobe PDF(1403Kb)
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浏览/下载:226/46
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提交时间:2022/01/27
domain-agnostic few-shot recognition
image classification
meta-learning
prototypical learning
Complex-Valued Discrete-Time Neural Dynamics for Perturbed Time-Dependent Complex Quadratic Programming With Applications
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3555-3569
作者:
Qi, Yimeng
;
Jin, Long
;
Wang, Yaonan
;
Xiao, Lin
;
Zhang, Jiliang
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浏览/下载:184/0
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提交时间:2021/01/07
Computational modeling
Convergence
Mathematical model
Recurrent neural networks
Perturbation methods
Robots
Numerical models
Complex domain
discrete-time neural dynamics (DTND)
quasi-Newton Broyden-Fletcher-Goldfarb-Shanno (BFGS)
quadratic programming (QP)
Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 6, 页码: 2064-2076
作者:
Li, Haoran
;
Zhang, Qichao
;
Zhao, Dongbin
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Adobe PDF(4274Kb)
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浏览/下载:352/110
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提交时间:2020/08/03
Robot sensing systems
Navigation
Entropy
Neural networks
Task analysis
Planning
Automatic exploration
deep reinforcement learning (DRL)
optimal decision
partial observation
Semantically Modeling of Object and Context for Categorization
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 4, 页码: 1013-1024
作者:
Zhang, Chunjie
;
Cheng, Jian
;
Tian, Qi
收藏
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浏览/下载:283/0
  |  
提交时间:2019/12/16
Context modeling
object categorization
object modeling
semantic representation
Image-Specific Classification With Local and Global Discriminations
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 9, 页码: 4479-4486
作者:
Zhang, Chunjie
;
Cheng, Jian
;
Li, Changsheng
;
Tian, Qi
Adobe PDF(571Kb)
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浏览/下载:661/280
  |  
提交时间:2017/09/14
Global information
image-specific classification
local information
object categorization
Object Categorization Using Class-Specific Representations
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 9, 页码: 4528-4534
作者:
Zhang, Chunjie
;
Cheng, Jian
;
Li, Liang
;
Li, Changsheng
;
Tian, Qi
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Adobe PDF(1061Kb)
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浏览/下载:7145/355
  |  
提交时间:2017/09/24
Class-specific Representation
Image Classification
Object Categorization
Visual Representation
Structured Weak Semantic Space Construction for Visual Categorization
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 8, 页码: 3442-3451
作者:
Zhang, Chunjie
;
Cheng, Jian
;
Tian, Qi
Adobe PDF(1950Kb)
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浏览/下载:504/225
  |  
提交时间:2017/09/14
Exemplar classifier training
image classification
structure learning
visual categorization
weak semantic space