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QueryProp: Object Query Propagation for High-Performance Video Object Detection
会议论文
Virtual, 2022
作者:
He, Fei
;
Gao, Naiyu
;
Jia, Jian
;
Zhao, Xin
;
Huang, Kaiqi
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/06/16
Web Objectionable Video Recognition Based on Deep Multi-Instance Learning With Representative Prototypes Selection
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 3, 页码: 1222-1233
作者:
Ding, Xinmiao
;
Li, Bing
;
Li, Yangxi
;
Guo, Wen
;
Liu, Yao
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2021/04/27
Feature extraction
Prototypes
Visualization
Support vector machines
Machine learning
Streaming media
Spectrogram
Representative prototype selection
objectionable video recognition
deep learning
Sparse representation based medical ultrasound images denoising with reshaped-RED
会议论文
Guangzhou, China, 2019-05-10
作者:
Pu, Xiaoqiu
;
Li, Zhixin
;
Li, Baopeng
;
Lei, Hao
;
Gao, Wei
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2019/10/10
Ultrasound image
speckle noise
sparse representation
regularization by denoising
variable splitting
Online Similarity Learning for Big Data with Overfitting
期刊论文
IEEE Transactions on Big Data, 2018, 卷号: 4, 期号: 1, 页码: 78-89
作者:
Fan BJ(范保杰)
;
Zeng P(曾鹏)
;
Yu HB(于海斌)
;
Luo JB(罗杰波)
;
Cong Y(丛杨)
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2017/12/21
online learning
similarity learning
low rank
sparse representation
feature selection
overfitting, redundancy
Image Fusion Method Based on Sparse and Redundant Representation
会议论文
作者:
Shi, Jianglin
;
Liu, Changhai
;
Xu, Rong
;
Men, Tao
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/11/19
Sparse Time-Frequency Representation for Incipient Fault Diagnosis of Wind Turbine Drive Train
期刊论文
IEEE Transactions on Instrumentation and Measurement, 2018, 卷号: 67, 页码: 2616-2627
作者:
Yang, Boyuan
;
Liu, Ruonan
;
Chen, Xuefeng
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/11/26
Alternating direction method of multipliers
Incipient fault diagnosis
Redundant dictionaries
Sparse representation
Time-frequency analysis methods
Time-frequency distributions
Time-frequency representations
WignerVille distribution (WVD)
Incipient bearing fault diagnosis based on redundant dictionary pruning
会议论文
作者:
Sun, Ruobin
;
Yang, Zhibo
;
Chen, Xuefeng
;
Tian, Shaohua
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/26
Bearing fault detection
Bearing fault diagnosis
Dictionary learning
Fault characteristics
Learned dictionaries
Redundant dictionaries
Sparse representation
Wind generator systems
Simultaneous spectrum fitting and baseline correction using sparse representation
期刊论文
ANALYST, 2017, 卷号: 142, 期号: 13, 页码: 2460-2468
作者:
Han, Quanjie
;
Xie, Qiong
;
Peng, Silong
;
Guo, Baokui
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2017/09/12
Sparse Representation
Orthogonal self-guided similarity preserving projection for classification and clustering
期刊论文
neural networks, 2017, 卷号: 88, 页码: 1-8
作者:
Fang, Xiaozhao
;
Xu, Yong
;
Li, Xuelong
;
Lai, Zhihui
;
Teng, Shaohua
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2017/05/26
Dimensionality reduction
Intrinsic structure
Subspace clustering
Feature representation
Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 卷号: 13, 页码: 1321-1331
作者:
Yang, Boyuan
;
Liu, Ruonan
;
Chen, Xuefeng
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/26
sparse time-frequency representation
periodical impulse vibration extraction
shift-invariant dictionary learning
Fault diagnosis
wind turbine generator
redundant union of dictionaries
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