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Deep Neural Network Self-Distillation Exploiting Data Representation Invariance
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 1, 页码: 257-269
作者:
Xu, Ting-Bing
;
Liu, Cheng-Lin
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/02/16
Training
Nonlinear distortion
Data models
Neural networks
Knowledge engineering
Network architecture
Generalization error
network compression
representation invariance
self-distillation (SD)
Time series piecewise linear representation based on trend feature points
会议论文
Changchun, China, July 1, 2017 - July 2, 2017
作者:
Ma, Dong-Lin
;
Zhang, Yu-Li
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2020/11/15
Data compression ratio
Data mining
Intelligent systems
Intelligent vehicle highway systems
Time series
Fitting error
Local maximum
Low compression ratios
Piecewise linear representation
Stable performance
Time series data mining
Trend feature point
Variation amplitude of slope
NONNEGATIVE MATRIX FACTORIZATION WITH BAND CONSTRAINT
期刊论文
JOURNAL OF COMPUTATIONAL MATHEMATICS, 2018, 卷号: 36, 页码: 761-775
作者:
Zhu, Xiangxiang
;
Li, Jicheng
;
Zhang, Zhuosheng
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  |  
浏览/下载:8/0
  |  
提交时间:2019/11/19
Nonnegative matrix factorization
Image compression
Sparse representation
Band structure
Subspace clustering
Hyperspectral image compression based on simultaneous sparse representation and general-pixels
期刊论文
PATTERN RECOGNITION LETTERS, 2018, 卷号: 116
作者:
Fu, Chuan
;
Yi, Yaohua
;
Luo, Fulin
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/05
Image compression
Hyperspectral image
Simultaneous sparse representation
Image Set Compression with Content Adaptive Sparse Dictionary
会议论文
2017 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING - TECHNIQUES AND APPLICATIONS (DICTA), 2017-01-01
作者:
Li Qiang
;
Wang Jin
;
Li Jinghua
;
Yin Baocai
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  |  
浏览/下载:6/0
  |  
提交时间:2019/12/03
sparse representation
image set compression
dictionary learning
image coding
A Joint Compression Scheme of Video Feature Descriptors and Visual Content
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017
Zhang, Xiang
;
Ma, Siwei
;
Wang, Shiqi
;
Zhang, Xinfeng
;
Sun, Huifang
;
Gao, Wen
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  |  
浏览/下载:8/0
  |  
提交时间:2017/12/03
Video feature descriptor
visual retrieval
video compression
LOSSY COMPRESSION
LOCAL FEATURES
SEARCH
STANDARD
REPRESENTATION
FRAMEWORK
AREAS
PLTD: Patch-Based Low-Rank Tensor Decomposition for Hyperspectral Images
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2017, 卷号: 19, 期号: 1
作者:
Du, Bo
;
Zhang, Mengfei
;
Zhang, Lefei
;
Hu, Ruimin
;
Tao, Dacheng
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/05
Compression
hyperspectral image (HSI)
low-rank decomposition
reconstruction
tensor representation
Analysis of Decorrelation Transform Gain for Uncoded Wireless Image and Video Communication
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016
Xiong, Ruiqin
;
Wu, Feng
;
Xu, Jizheng
;
Fan, Xiaopeng
;
Luo, Chong
;
Gao, Wen
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  |  
浏览/下载:5/0
  |  
提交时间:2017/12/03
Uncoded visual communication
image representation
decorrelation transform
power allocation
energy diversity
transform gain
UNEQUAL ERROR PROTECTION
DIGITAL-ANALOG SCHEME
NOISY CHANNELS
PROGRESSIVE TRANSMISSION
LIMITED RETRANSMISSION
VISUAL COMMUNICATION
RATE ALLOCATION
PET PROTECTION
COMPRESSION
STANDARD
CSPS: An Adaptive Pooling Method for Image Classification
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2016
Wang, Jinzhuo
;
Wang, Wenmin
;
Wang, Ronggang
;
Gao, Wen
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2017/12/03
Class-specific pooling shapes (CSPS)
dictionary sensitivity
image classification
multi-shape matching kernel
representation compression
SPATIAL PYRAMIDS
FEATURES
REPRESENTATION
SCENES
Image Denoising via Bandwise Adaptive Modeling and Regularization Exploiting Nonlocal Similarity
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016
Xiong, Ruiqin
;
Liu, Hangfan
;
Zhang, Xinfeng
;
Zhang, Jian
;
Ma, Siwei
;
Wu, Feng
;
Gao, Wen
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2017/12/03
Image denoising
transform domain modeling
bandwise modeling
adaptive regularization
adaptive soft-thresholding
nonlocal similarity
GAUSSIAN MIXTURE-MODELS
SPARSE REPRESENTATION
LEARNED DICTIONARIES
TRANSFORM-DOMAIN
RESTORATION
NOISE
RECONSTRUCTION
COMPRESSION
ESTIMATORS
REGRESSION
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