Testing the Manifold Hypothesis¶
Fefferman, C., Mitter, S., & Narayanan, H. (2016). Testing the Manifold Hypothesis. Journal of the American Mathematical Society, 29(4), 983-1049.
Cited by¶
1 citation across 1 artifact.
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Primes¶
- Manifold
- In statistics and machine learning the manifold hypothesis — that high-dimensional data lies on or near a much lower-dimensional manifold — is the structural premise of dimensionality reduction, representation learning, and many generative models.
This sourceFormalizes and tests the manifold hypothesis that high-dimensional data lies on or near a much-lower-dimensional manifold.
- In statistics and machine learning the manifold hypothesis — that high-dimensional data lies on or near a much lower-dimensional manifold — is the structural premise of dimensionality reduction, representation learning, and many generative models.
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