Results 121 to 130 of about 24,502 (300)

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky   +5 more
wiley   +1 more source

Causally-Informed Instance-Wise Feature Selection for Explaining Visual Classifiers

open access: yesEntropy
We propose a novel interpretability framework that integrates instance-wise feature selection with causal reasoning to explain decisions made by black-box image classifiers.
Li Tan
doaj   +1 more source

Mutual features for pattern classification

open access: yes, 2009
The mean of a data set is one trivial representation of data from one class. This thesis discusses mutual interdependence analysis (MIA) that is successfully used to extract moreinvolved representations, or “mutual features”, accounting for samples in ...
Claussen, Heiko
core  

Augmented Mutual Information for Multi-word Extraction [PDF]

open access: yes, 2009
In order to extract multi-words from documents, mutual information (MI), as a statistical method, is the most popular solution under consideration. However, there are two kinds of deficiencies inherent in MI. One is the problem of unilateral cooccurrence,
Tang, Xijin   +3 more
core  

Assessing the Mean Neuronal Firing Rate Information Hypothesis via Mutual Information

open access: yes, 2018
While it is currently well accepted that the mean neuronal firing rate (MNFR) is a key parameter encoding information about sensory and motor events, in some cases the measured information due to MNFR is not adequate to explain the total neuron signal ...
Zdor, Greg W, Zdor, Greg
core   +1 more source

Affecting the Properties of Copper–Graphene Electroconductive Composite by Severe Plastic Deformation

open access: yesAdvanced Engineering Materials, EarlyView.
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich   +3 more
wiley   +1 more source

MISEP - Linear and Nonlinear ICA Based on Mutual Information

open access: yes, 2002
Linear Independent Components Analysis (ICA) has become an important signal processing and data analysis technique, the typical application being blind source separation in a wide range of signals, such as biomedical, acoustical and astrophysical ones ...
Almeida, Luis B.
core  

Quadrature-based image registration method using Mutual Information

open access: yes, 2004
Mutual information (MI) is a popular entropy-based similarity measure used in the medical imaging field for multimodal registration. The basic concept behind any approach using MI is to find a transformation, which when applied to an image, will maximize
Fookes, Clinton B., Maeder, Anthony J.
core   +1 more source

Multimodal Data‐Driven Microstructure Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang   +4 more
wiley   +1 more source

Generalised Mutual Information for Discriminative Clustering

open access: yes, 2022
International audienceIn the last decade, recent successes in deep clustering majorly involved the mutual information (MI) as an unsupervised objective for training neural networks with increasing regularisations. While the quality of the regularisations
Bouveyron, Charles   +6 more
core  

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