Mutual information mi - Open Access .click

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TH‐C‐ValB‐04: Evaluation of the Quality of 3D‐3D Mutual Information (MI) Shared Between Reference and On‐Board DTS Images

Medical Physics, 2006
Purpose: Digital tomosynthesis (DTS) is a fast, low‐dose method for reconstructing 3‐D slices from 2‐D cone‐beam x‐ray projection data acquired with limited source angulation (e.g., 40°). We previously developed a method for reconstructing reference DTS (RDTS) images from a planning CT volume, for registration with on‐board DTS image data.
D Godfrey, L Ren, H Yan, M Oldham, F Yin
openaire +1 more source

MI-GCN: Node Mutual Information-based Graph Convolutional Network

Companion Proceedings of the Web Conference 2022, 2022
Lei Tian, Huaming Wu
openaire +1 more source

GCNS-MI: EEG Recognition of Depression Based on Graph Mutual Information Maximization

SSRN Electronic Journal, 2022
Wei Li +5 more
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Using mutual information (MI) for automated 3D registration in the pelvis and thorax region for radiotherapy treatment planning.

SPIE Proceedings, 2000
Alev Kutan Erdi, Yu Chi Hu, Chen-Shou Chui +2 more
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Analysing the financial performance of sustainable development goals-themed mutual funds in China

Sustainable Production and Consumption, 2021
Carmen-Pilar Martí-Ballester
exaly

Analyzing The Efficiency of Mutual Information (MI) and A Genetic Algorithm (GA) For Selecting Spectral Entropy Features From An EEG Signal

2023 1st International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP), 2023
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Transaction Costs, Portfolio Characteristics, and Mutual Fund Performance

Management Science, 2021
Jeffrey A Busse, Tarun Chordia, Lei Jiang +2 more
exaly

Mutual-information-based registration of medical images: a survey

IEEE Transactions on Medical Imaging, 2003
J P W Pluim, J B A Maintz, Max A Viergever +2 more
exaly

Using mutual information for selecting features in supervised neural net learning

IEEE Transactions on Neural Networks, 1994
Roberto Battiti
exaly

Input feature selection by mutual information based on Parzen window

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
N Kwak, Chong-Ho Choi
exaly

mutual information
fos: computer and information sciences
information theory

entropy
computer vision and pattern recognition cs.cv
rényi divergence

machine learning
feature selection
machine learning cs.lg