Results 221 to 230 of about 500,210 (263)

A Binary Feature Extraction Technique

IEEE Transactions on Computers, 1974
Numerous schemes are available for feature selection in a pattern recognition problem, but the feature extraction process is largely intuitive. A sequential feature extraction scheme is proposed for binary features. A decision function, which is linear and near optimal, is developed concurrently with each feature.
K. S. Grewal, J. D. Patterson
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Software feature extraction using infrequent feature extraction

2016 6th International Annual Engineering Seminar (InAES), 2016
Evolution and maintenance processes are important but time consuming and expensive. It is very important to make the processes effective and efficient. A software developer can use resource like user opinion data to get information, such as user request, bug report, and user experience.
Divi Galih Prasetyo Putri, Daniel Oranova Siahaan   +1 more
openaire   +1 more source

Feature extraction in classification

2013
Feature extraction, or dimensionality reduction, is an essential part of many machine learning applications. The necessity for feature extraction stems from the curse of dimensionality and the high computational cost of manipulating high-dimensional data. In this thesis we focus on feature extraction for classification.
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Logical Networks for Feature Extraction

IEEE Transactions on Systems, Man, and Cybernetics, 1971
The extraction of features for the purpose of reconstituting a pattern set may be particularly useful in those cases where a large number of patterns can be decomposed into a relatively small set of sub-patterns. By the representation of pattern and feature sets as matrices, the concept of feature determination has been extended to multilevel features ...
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Feature Extraction on Binary Patterns

IEEE Transactions on Systems Science and Cybernetics, 1969
The objects and methods of automatic feature extraction on binary patterns are briefly reviewed. An intuitive interpretation for geometric features is suggested whereby such a feature is conceived of as a cluster of component vectors in pattern space.
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Multivariate Feature Extraction

2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2022
Xiangxiang Xu 0001, Lizhong Zheng
openaire   +1 more source

Feature Extraction

2017
Accessibility problem is relevant for audiovisual information, where enormous data has to be explored and processed. Most of the solutions for this specific type of problems point towards a regular need of extracting applicable information features for a given content domain.
openaire   +2 more sources

Joint Feature Selection and Extraction With Sparse Unsupervised Projection

IEEE Transactions on Neural Networks and Learning Systems, 2023
Jingyu Wang, Lin Wang, Feiping Nie
exaly  

Deep feature extraction in lifetime prognostics of lithium-ion batteries: Advances, challenges and perspectives

Renewable and Sustainable Energy Reviews, 2023
Yongzhi Zhang, Ping Ding, Yun Bai
exaly  

Feature Extraction

2006
openaire   +1 more source