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Enhancing Edge Intelligence with Highly Discriminant LNT Features

Enhancing Edge Intelligence with Highly Discriminant LNT Features

19 December 2023
Xinyu Wang
Vinod K. Mishra
C.-C. Jay Kuo
ArXivPDFHTML

Papers citing "Enhancing Edge Intelligence with Highly Discriminant LNT Features"

7 / 7 papers shown
Title
RadHop-Net: A Lightweight Radiomics-to-Error Regression for False Positive Reduction In MRI Prostate Cancer Detection
Vasileios Magoulianitis
Jiaxin Yang
Catherine A. Alexander
C.-C. Jay Kuo
MedIm
45
0
0
03 Jan 2025
Green Learning: Introduction, Examples and Outlook
Green Learning: Introduction, Examples and Outlook
C.-C. Jay Kuo
A. Madni
73
71
0
03 Oct 2022
A-PixelHop: A Green, Robust and Explainable Fake-Image Detector
A-PixelHop: A Green, Robust and Explainable Fake-Image Detector
Yao Zhu
Xinyu Wang
Hong-Shuo Chen
Ronald Salloum
C.-C. Jay Kuo
29
17
0
07 Nov 2021
GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds
GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds
Min Zhang
Pranav Kadam
Shan Liu
C.-C. Jay Kuo
3DPC
36
17
0
24 Sep 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
150
675
0
24 Jan 2021
Edge Intelligence: The Confluence of Edge Computing and Artificial
  Intelligence
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
Shuiguang Deng
Hailiang Zhao
Weijia Fang
Jianwei Yin
Schahram Dustdar
Albert Y. Zomaya
74
605
0
02 Sep 2019
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
315
36,381
0
25 Aug 2016
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