Vilnis, 2021 - Google Patents

Geometric representation learning

Vilnis, 2021

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Document ID
13710110322619299518
Author
Vilnis L
Publication year
Publication venue
Doctoral dissertations

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In this chapter we introduce a method that moves beyond vector point representations to potential functions [1], or continuous densities in latent space. In particular we explore Gaussian function embeddings (with diagonal covariance), in which both means and …
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    • G06F17/3071—Clustering or classification including class or cluster creation or modification
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