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A Novel Approach to Quantized Matrix Completion Using Huber Loss Measure

A Novel Approach to Quantized Matrix Completion Using Huber Loss Measure

29 October 2018
Ashkan Esmaeili
F. Marvasti
    MQ
ArXiv (abs)PDFHTML

Papers citing "A Novel Approach to Quantized Matrix Completion Using Huber Loss Measure"

6 / 6 papers shown
Title
PanoFormer: Panorama Transformer for Indoor 360 Depth Estimation
PanoFormer: Panorama Transformer for Indoor 360 Depth Estimation
Zhijie Shen
Chunyu Lin
K. Liao
Lang Nie
Zishuo Zheng
Yao Zhao
ViTMDE
76
89
0
17 Mar 2022
Generative Model Adversarial Training for Deep Compressed Sensing
Generative Model Adversarial Training for Deep Compressed Sensing
Ashkan Esmaeili
GAN
49
0
0
20 Jun 2021
Error Loss Networks
Error Loss Networks
Badong Chen
Yunfei Zheng
Pengju Ren
50
3
0
07 Jun 2021
DeepVir -- Graphical Deep Matrix Factorization for "In Silico" Antiviral
  Repositioning: Application to COVID-19
DeepVir -- Graphical Deep Matrix Factorization for "In Silico" Antiviral Repositioning: Application to COVID-19
Aanchal Mongia
Stuti Jain
Émilie Chouzenoux
A. Majumdar
38
0
0
22 Sep 2020
AI-enabled Blockchain: An Outlier-aware Consensus Protocol for
  Blockchain-based IoT Networks
AI-enabled Blockchain: An Outlier-aware Consensus Protocol for Blockchain-based IoT Networks
Mehrdad Salimitari
M. Joneidi
M. Chatterjee
53
1
0
17 Jun 2019
A Novel Approach to Sparse Inverse Covariance Estimation Using Transform
  Domain Updates and Exponentially Adaptive Thresholding
A Novel Approach to Sparse Inverse Covariance Estimation Using Transform Domain Updates and Exponentially Adaptive Thresholding
Ashkan Esmaeili
F. Marvasti
34
0
0
16 Nov 2018
1