Results 21 to 30 of about 3,899,370 (385)
Bearing Fault Feature Extraction Method Based on GA-VMD and Center Frequency
Mathematical Problems in Engineering, 2022 To promote the effect of variational mode decomposition (VMD) and further enhance the recognition performances of bearing fault signals, genetic algorithm (GA) is applied to optimize the combination of VMD parameters in this paper, and GA-VMD algorithm ...
Yuxing Li +3 more
semanticscholar +1 more source
Deep Private-Feature Extraction [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2020 We present and evaluate Deep Private-Feature Extractor (DPFE), a deep model which is trained and evaluated based on information theoretic constraints. Using the selective exchange of information between a user's device and a service provider, DPFE enables the user to prevent certain sensitive information from being shared with a service provider, while
Seyed Ali Osia +5 more
openaire +4 more sources
Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox [PDF]
IEEE Geoscience and Remote Sensing Magazine, 2020 Hyperspectral images (HSIs) provide detailed spectral information through hundreds of (narrow) spectral channels (also known as dimensionality or bands), which can be used to accurately classify diverse materials of interest. The increased dimensionality
Behnood Rasti +6 more
semanticscholar +1 more source
A dual quantum image feature extraction method: PSQIFE
IET Image Processing, 2022 In digital image processing, feature extraction occupies a very important position, which is related to the effect of image classification or recognition. At present, effective quantum feature extraction methods are relatively lacking.
Jie Su, Shuhan Lu, Lin Li
doaj +1 more source
Feature extraction for epileptic seizure detection using machine learning
Current Medicine Research and Practice, 2020 Background: Epilepsy is a common neurological disorder and affects approximately 70 million people worldwide. The traditional approach used by neurologists for the detection of seizure is time consuming.
Renuka Mohan Khati, Rajesh Ingle
doaj +1 more source
UAT: Universal Attention Transformer for Video Captioning
Sensors, 2022 Video captioning via encoder–decoder structures is a successful sentence generation method. In addition, using various feature extraction networks for extracting multiple features to obtain multiple kinds of visual features in the encoding process is a ...
Heeju Im, Yong-Suk Choi
doaj +1 more source
UNLABELED SELECTED SAMPLES IN FEATURE EXTRACTION FOR CLASSIFICATION OF HYPERSPECTRAL IMAGES WITH LIMITED TRAINING SAMPLES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Feature extraction plays a key role in hyperspectral images classification. Using unlabeled samples, often unlimitedly available, unsupervised and semisupervised feature extraction methods show better performance when limited number of training samples ...
A. Kianisarkaleh +2 more
doaj +1 more source
Survey of feature selection and extraction techniques for stock market prediction
Financial Innovation, 2023 In stock market forecasting, the identification of critical features that affect the performance of machine learning (ML) models is crucial to achieve accurate stock price predictions.
Htet Htet Htun, Michael Biehl, N. Petkov
semanticscholar +1 more source
Linear feature extraction for ranking [PDF]
Information Retrieval Journal, 2018 We address the feature extraction problem for document ranking in information retrieval. We then propose LifeRank, a Linear feature extraction algorithm for Ranking. In LifeRank, we regard each document collection for ranking as a matrix, referred to as the original matrix.
Gaurav Pandey +4 more
openaire +5 more sources
Bearing Fault Feature Extraction and Fault Diagnosis Method Based on Feature Fusion
Italian National Conference on Sensors, 2021 Bearing is one of the most important parts of rotating machinery with high failure rate, and its working state directly affects the performance of the entire equipment.
Huibin Zhu +4 more
semanticscholar +1 more source