Murty, M and Avinash, M (2023) Non-linear Schemes for Representation. [Book Chapter]
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Official URL: https://doi.org/10.1007/978-981-19-7908-8_5
Abstract
In this chapter we deal with various nonlinear feature extraction schemes. In nonlinear feature extraction, the extracted features may be viewed as nonlinear combinations of the originally given features. Two popular neural network architectures employed are self-organizing map (SOM) and autoencoder (AE). We examine both of them in this chapter.
| Item Type: | Book Chapter |
|---|---|
| Publication: | SpringerBriefs in Computer Science |
| Publisher: | Springer |
| Additional Information: | The copyright for this article belongs to Springer. |
| Keywords: | Conformal mapping; Extraction; Feature extraction; Network architecture, Auto encoders; Given features; Neural network architecture; Non linear; Nonlinear combination; Nonlinear feature extraction; Self-organizing-maps, Self organizing maps |
| Department/Centre: | Division of Electrical Sciences > Computer Science & Automation |
| Date Deposited: | 20 May 2023 04:38 |
| Last Modified: | 20 May 2023 04:38 |
| URI: | https://eprints.iisc.ac.in/id/eprint/81578 |
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