Independent Component Analysis¶
Hyvärinen, A., & Oja, E. (2000). Independent Component Analysis: Algorithms and Applications. Neural Networks, 13(4), 4-5.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Signal Extraction
- In statistics and machine learning, regression decomposes outcomes into a fitted signal and a residual, PCA and ICA decompose a high-dimensional observation into target components and discarded variance, and denoising autoencoders learn the signal model implicitly.
This sourceCanonical reference for ICA and blind source separation (the cocktail-party problem) decomposing observations into target components and discarded variance.
- In statistics and machine learning, regression decomposes outcomes into a fitted signal and a residual, PCA and ICA decompose a high-dimensional observation into target components and discarded variance, and denoising autoencoders learn the signal model implicitly.
Verification¶
This reference passed the adversarial substantiation pipeline: it was checked to exist and to support the claim it is attached to. See how references were verified.
Registry ID ref:af29037c9ede · see in the full table