Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Simple Classification using Binary Data   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.

31
The categories of this paper are: ao-sci
15
The categories of this paper are: nucl-ex
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom
34
The categories of this paper are: chem-ph
5
The categories of this paper are: gr-qc
33
The categories of this paper are: plasm-ph
23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys
22
The categories of this paper are: chao-dyn
7
The categories of this paper are: hep-th
8
The categories of this paper are: hep-ex
19
The categories of this paper are: eess
35
The categories of this paper are: mtrl-th