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On Feature Extraction via Kernels
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2008Using the kernel trick idea and the kernels-as-features idea, we can construct two kinds of nonlinear feature spaces, where linear feature extraction algorithms can be employed to extract nonlinear features. In this correspondence, we study the relationship between the two kernel ideas applied to certain feature extraction algorithms such as linear ...
Cheng Yang, Liwei Wang 0001, Jufu Feng
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Feature extraction in classification
2013Feature 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, 1971The 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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Multivariate Feature Extraction
2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2022Xiangxiang Xu 0001, Lizhong Zheng
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Joint Feature Selection and Extraction With Sparse Unsupervised Projection
IEEE Transactions on Neural Networks and Learning Systems, 2023Jingyu Wang, Lin Wang, Feiping Nie
exaly
Feature extraction methods for character recognition-A survey
Pattern Recognition, 1996Anil K Jain, Torfinn Taxt
exaly
A survey on feature extraction for pattern recognition
Artificial Intelligence Review, 2011Shifei Ding, Weikuan Jia, Chunyang Su
exaly

