Simple Classification using Binary Data

Deanna Needell; Rayan Saab; Tina Woolf

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arXiv · 1707.01945

Simple Classification using Binary Data

Deanna Needell·Rayan Saab·Tina Woolf

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Abstract

Binary, or one-bit, representations of data arise naturally in many applications, and are appealing in both hardware implementations and algorithm design. In this work, we study the problem of data classification from binary data and propose a framework with low computation and resource costs. We illustrate the utility of the proposed approach through stylized and realistic numerical experiments, and provide a theoretical analysis for a simple case. We hope that our framework and analysis will serve as a foundation for studying similar types of approaches.

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cs.LG cs.NA math.NA stat.ML

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Deanna Needell, Rayan Saab, Tina Woolf. 2017-07-06. Simple Classification using Binary Data. https://arxiv.org/abs/1707.01945

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