中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共10条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
Efficient adaptive learning rate for convolutional neural network based on quadratic interpolation egret swarm optimization algorithm 期刊论文
HELIYON, 2024, 卷号: 10, 期号: 18, 页码: 17
作者:  Wei, Peiyang;  Shang, Mingsheng;  Zhou, Jiesan;  Shi, Xiaoyu
收藏  |  浏览/下载：0/0  |  提交时间：2024/11/05
Convolutional neural network  Multi-domain image classification  Adaptive learning rate  Egret swarm optimization algorithm  Quadratic interpolation  
Highly efficient recognition of similar objects based on ionic robotic tactile sensors 期刊论文
SCIENCE BULLETIN, 2024, 卷号: 69, 期号: 13, 页码: 2089-2098
作者:  Kong, Yongkang;  Cheng, Guanyin;  Zhang, Mengqin;  Zhao, Yongting;  Meng, Wujun;  Tian, Xin;  Sun, Bihao;  Yang, Fuping;  Wei, Dapeng
收藏  |  浏览/下载：9/0  |  提交时间：2024/09/23
Tactile recognition  Conformal ionic gel coating  Flexible sensors  Dual-branch convolutional neural network  
Constructing convolutional neural network by utilizing nematode connectome: A brain-inspired method 期刊论文
APPLIED SOFT COMPUTING, 2023, 卷号: 149, 页码: 10
作者:  Su, Dan;  Chen, Liangming;  Du, Xiaohao;  Liu, Mei;  Jin, Long
收藏  |  浏览/下载：23/0  |  提交时间：2024/01/17
Convolutional neural network  Caenorhabditis elegans  Nematode connectome  
MCFL: multi-label contrastive focal loss for deep imbalanced pedestrian attribute recognition 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2022, 页码: 15
作者:  Chen, Lin;  Song, Jingkuan;  Zhang, Xuerui;  Shang, Mingsheng
收藏  |  浏览/下载：113/0  |  提交时间：2022/08/22
Pedestrian attribute recognition  Multi-label contrastive loss  Deep convolutional neural network  Multi-label learning  Imbalanced learning  
Hyperspectral image classification based on optimized convolutional neural networks with 3D stacked blocks 期刊论文
EARTH SCIENCE INFORMATICS, 2022, 页码: 13
作者:  Zhang, Xiaoxia;  Guo, Yong;  Zhang, Xia
收藏  |  浏览/下载：55/0  |  提交时间：2022/08/22
Convolutional neural network  3D convolution  Hyperspectral image classification  Stacked blocks  Attention mechanism  Spectral-spatial characteristics  
Ranking convolutional neural network for Alzheimer's disease mini-mental state examination prediction at multiple time-points 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 卷号: 213, 页码: 10
作者:  Qiao, Hezhe;  Chen, Lin;  Zhu, Fan
收藏  |  浏览/下载：164/0  |  提交时间：2021/12/28
Alzheimer's Disease (AD)  Convolutional Neural Network (CNN)  Magnetic Resonance Imaging (MRI)  Mini-Mental State Examination (MMSE)  Ranking learning  
cuSCNN: A Secure and Batch-Processing Framework for Privacy-Preserving Convolutional Neural Network Prediction on GPU 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2021, 卷号: 15, 页码: 13
作者:  Bai, Yanan;  Liu, Quanliang;  Wu, Wenyuan;  Feng, Yong
收藏  |  浏览/下载：72/0  |  提交时间：2022/08/22
privacy-preserving  convolutional neural network  homomorphic encryption  GPU computation  deep learning  cloud computing  
Early Alzheimer's disease diagnosis with the contrastive loss using paired structural MRIs 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2021, 卷号: 208, 页码: 11
作者:  Qiao, Hezhe;  Chen, Lin;  Ye, Zi;  Zhu, Fan
收藏  |  浏览/下载：189/0  |  提交时间：2021/10/13
Alzheimer's disease (AD)  Contrastive loss  Magnetic resonance imaging (MRI)  Mini-mental state examination (MMSE)  Convolutional neural network (CNN)  
Robust correlation filter tracking with deep semantic supervision 期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 5, 页码: 754-760
作者:  Wang, Wei;  Chen, Zhaoming;  Douadji, Lyes;  Shi, Mingquan
Adobe PDF(3083Kb)  |  收藏  |  浏览/下载：257/0  |  提交时间：2019/06/24
particle filtering (numerical methods)  learning (artificial intelligence)  target tracking  convolutional neural nets  robust correlation filter tracking  high tracking performance  tracking failure  deep semantic supervision tracking framework  redetection tracking mechanism  particle filtering resampling  CF tracker  deep convolutional neural network  tracking frames  target occlusion  handcrafted features  real-time performance  OTB2013 benchmark datasets  OTB2015 benchmark datasets  
Extensive exploration of comprehensive vehicle attributes using D-CNN with weighted multi-attribute strategy 期刊论文
IET INTELLIGENT TRANSPORT SYSTEMS, 2018, 卷号: 12, 期号: 3, 页码: 186-193
作者:  Yan, Zhuo;  Feng, Youji;  Cheng, Cheng;  Fu, Jianting;  Zhou, Xiangdong;  Yuan, Jiahu
Adobe PDF(3776Kb)  |  收藏  |  浏览/下载：268/0  |  提交时间：2018/06/04
Object Recognition  Feedforward Neural Nets  Learning (Artificial Intelligence)  Comprehensive Vehicle Attributes  D-cnn  Weighted Multiattribute Strategy  Deep Convolutional Neural Network  Surveillance Images  Vehicle Model Recognition  Make Recognition  Mtl Methods  Multitask Learning  Compcars Vehicle Dataset  Manufacturer Recognition