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arXiv · 1608.02784

Canonical Correlation Inference for Mapping Abstract Scenes to Text

Nikos Papasarantopoulos·Helen Jiang·Shay B. Cohen
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Abstract

We describe a technique for structured prediction, based on canonical correlation analysis. Our learning algorithm finds two projections for the input and the output spaces that aim at projecting a given input and its correct output into points close to each other. We demonstrate our technique on a language-vision problem, namely the problem of giving a textual description to an "abstract scene".

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Nikos Papasarantopoulos, Helen Jiang, Shay B. Cohen. 2017-11-17. Canonical Correlation Inference for Mapping Abstract Scenes to Text. https://arxiv.org/abs/1608.02784

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