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expOSE: Accurate Initialization-Free Projective Factorization Using Exponential Regularization
The recently introduced factorization-based pOSE methods formulate a surrogate for the bundle adjustment error without reliance on good initialization.
Disentangled Representations for Manipulation of Sentiment in Text
The ability to change arbitrary aspects of a text while leaving the core message intact could have a strong impact in fields like marketing and politics by enabling e. g. automatic optimization of message impact and personalized language adapted to the receiver's profile.
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