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BViT: Broad Attention-Based Vision Transformer
期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2023, 页码: 1 - 12
作者:
Nannan Li
;
Yaran Chen
;
Weifan Li
;
Zixiang Ding
;
Dongbin Zhao
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/06/27
Broad attention
broad connection
image classification
parameter-free attention
vision transformer
Hyper-parameter-evolutionary latent factor analysis for high-dimensional and sparse data from recommender systems
期刊论文
NEUROCOMPUTING, 2021, 卷号: 421, 页码: 316-328
作者:
Chen, Jiufang
;
Yuan, Ye
;
Ruan, Tao
;
Chen, Jia
;
Luo, Xin
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2021/02/24
Big Data
Intelligent Computation
Latent Factor Analysis
Evolutionary Computing
Learning Algorithm
High-dimensional and Sparse Data
Parameter Free
A simple tridiagonal loading method for robust adaptive beamforming
期刊论文
Signal Processing, 2019, 卷号: 157, 页码: 103-107
作者:
Zhang, Ming
;
Chen, Xiaoming
;
Zhang, Anxue
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/19
Adaptive beamformers
Parameter-free methods
Regularization
Robust adaptive beamforming
Sample covariance matrix
Symmetric tridiagonal matrix
Tridiagonal
User-defined parameters
Optimization of the Process of Electrochemical Micro-Machining of Titanium Alloy Using a Water-Free Electrolyte
期刊论文
Journal of Tianjin University Science and Technology, 2019, 卷号: Vol.52 No.2, 页码: 217-223
作者:
Ao, S.
;
Li, K.
;
Liu, W.
;
Zhang, H.
;
Zhang, W.
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/11/21
Electrochemical micro-machining
Ethylene glycol
Process parameter
Titanium alloy
Water-free electrolyte
Unsupervised Feature Selection via Adaptive Multimeasure Fusion
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 9, 页码: 2886-2892
作者:
Zhang, Rui
;
Nie, Feiping
;
Wang, Yunhai
;
Li, Xuelong
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  |  
浏览/下载:10/0
  |  
提交时间:2019/12/11
Adaptive multimeasure fusion
feature selection (FS)
parameter-free
similarity
steerable sparsity
unsupervised learning
Correlations of surface free energy and solubility parameters for solid substances
期刊论文
JOURNAL OF COLLOID AND INTERFACE SCIENCE, 2019, 卷号: 544, 页码: 8-13
作者:
Yu, Weiyan
;
Hou, Wanguo
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/11
Surface free energy
Solubility parameter
Polymer
Layered material
Molar volume
A Robust Paramter-Free Thresholding Method for Image Segmentation
期刊论文
IEEE ACCESS, 2019, 卷号: 7
作者:
Cao, Xinhua
;
Li, Taihao
;
Li, Hongli
;
Xia, Shunren
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/06
Segmentation
parameter-free thresholding
objective function
histogram
Toward Spectral Library-Free Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry Bacterial Identification
期刊论文
JOURNAL OF PROTEOME RESEARCH, 2018, 卷号: 17, 期号: 6
作者:
Cheng, Ding
;
Qiao, Liang
;
Horvatovich, Peter
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/05
bacterial identification
proteomics
MALDI-TOF
library-free
double-cross validation
ribosomal proteins
UniProt
MALDI-TOF peak annotation
parameter optimization
data filtering
Skew-symmetric Nitsche's formulation in isogeometric analysis: Dirichlet and symmetry conditions, patch coupling and frictionless contact
期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2018, 卷号: 341, 页码: 188-220
作者:
Hu, Qingyuan
;
Chouly, Franz
;
Hu, Ping
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/02
Isogeometric
Nitsche
Parameter-free
Contact
Patch coupling
Boundary conditions
Deblurring retinal optical coherence tomography via a convolutional neural network with anisotropic and double convolution layer
期刊论文
IET COMPUTER VISION, 2018, 卷号: 12, 期号: 6, 页码: 900-907
作者:
Lian, Jian
;
Hou, Sujuan
;
Sui, Xiaodan
;
Xu, Fangzhou
;
Zheng, Yuanjie
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/12/11
biomedical optical imaging
neural nets
eye
optical tomography
medical image processing
learning (artificial intelligence)
deconvolution
convolution
image restoration
retinal optical coherence
tomography
double convolution layer
image pre-processing tasks
optical coherence tomography systems
degradation effects
current
deblurring research
suitable degradation models
deconvolution
operators
model-based solutions
nonmodel architecture
deep
convolutional neural network
parameter-free situations
deep learning
strategy
traditional model
neural network architectures
retinal OCT
images
state-of-the-art model
OCT deblurring methods
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