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浏览/检索结果:
共77条,第1-10条
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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:73/28
  |  
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
收藏
  |  
浏览/下载:102/0
  |  
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
Online Active Continual Learning for Robotic Lifelong Object Recognition
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:
Nie, Xiangli
;
Deng, Zhiguang
;
He, Mingdong
;
Fan, Mingyu
;
Tang, Zheng
收藏
  |  
浏览/下载:79/0
  |  
提交时间:2023/11/16
Task analysis
Robots
Data models
Object recognition
Learning systems
Training
Heuristic algorithms
Catastrophic forgetting
lifelong object recognition
online active learning (OAL)
online continual learning (OCL)
Spike Attention Coding for Spiking Neural Networks
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 7
作者:
Liu, Jiawen
;
Hu, Yifan
;
Li, Guoqi
;
Pei, Jing
;
Deng, Lei
收藏
  |  
浏览/下载:68/0
  |  
提交时间:2023/11/16
Rate coding
spike attention coding (SAC)
spiking neural networks (SNNs)
temporal coding
AAformer: Auto-Aligned Transformer for Person Re-Identification
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 11
作者:
Zhu, Kuan
;
Guo, Haiyun
;
Zhang, Shiliang
;
Wang, Yaowei
;
Liu, Jing
;
Wang, Jinqiao
;
Tang, Ming
收藏
  |  
浏览/下载:93/0
  |  
提交时间:2023/11/16
Auto-alignment
part-level representation
person re-identification (re-ID)
transformer
PSAQ-ViT V2: Toward Accurate and General Data-Free Quantization for Vision Transformers
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 12
作者:
Li, Zhikai
;
Chen, Mengjuan
;
Xiao, Junrui
;
Gu, Qingyi
收藏
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浏览/下载:46/0
  |  
提交时间:2023/11/17
Data-free quantization
model compression
patch similarity
quantized vision transformers (ViTs)
Description-Enhanced Label Embedding Contrastive Learning for Text Classification
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14
作者:
Zhang, Kun
;
Wu, Le
;
Lv, Guangyi
;
Chen, Enhong
;
Ruan, Shulan
;
Liu, Jing
;
Zhang, Zhiqiang
;
Zhou, Jun
;
Wang, Meng
收藏
  |  
浏览/下载:94/0
  |  
提交时间:2023/11/17
Contrastive learning (CL)
label embedding
representation learning
text classification
Semisupervised Progressive Representation Learning for Deep Multiview Clustering
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:
Chen, Rui
;
Tang, Yongqiang
;
Xie, Yuan
;
Feng, Wenlong
;
Zhang, Wensheng
收藏
  |  
浏览/下载:78/0
  |  
提交时间:2023/11/17
Representation learning
Training
Data models
Task analysis
Complexity theory
Semisupervised learning
Optimization
Deep clustering
multiview clustering
progressive sample learning
semisupervised learning
Rethinking Pretraining as a Bridge From ANNs to SNNs
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14
作者:
Lin, Yihan
;
Hu, Yifan
;
Ma, Shijie
;
Yu, Dongjie
;
Li, Guoqi
收藏
  |  
浏览/下载:173/0
  |  
提交时间:2023/03/20
Training
Task analysis
Neurons
Pipelines
Artificial neural networks
Feature extraction
Transfer learning
Event-driven dataset
neural network (NN) analysis
pretraining technique
spiking NN (SNN)
transfer learning
Multi-View Multi-Label Fine-Grained Emotion Decoding From Human Brain Activity
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Fu, Kaicheng
;
Du, Changde
;
Wang, Shengpei
;
He, Huiguang
Adobe PDF(4570Kb)
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收藏
  |  
浏览/下载:240/61
  |  
提交时间:2022/12/27
Decoding
Brain modeling
Functional magnetic resonance imaging
Predictive models
Emotion recognition
Dimensionality reduction
Pattern recognition
Fine-grained emotion decoding
multi-label learning
multi-view learning
product of experts (PoEs)
variational autoencoder