Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Lensless-camera based machine learning for image classification   Machine learning (ML) has been widely applied to image classification. Here,
we extend this application to data generated by a camera comprised of only a
standard CMOS image sensor with no lens. We first created a database of
lensless images of handwritten digits. Then, we trained a ML algorithm on this
dataset. Finally, we demonstrated that the trained ML algorithm is able to
classify the digits with accuracy as high as 99% for 2 digits. Our approach
clearly demonstrates the potential for non-human cameras in machine-based
decision-making scenarios.

30
The categories of this paper are: q-alg
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
33
The categories of this paper are: plasm-ph
9
The categories of this paper are: nlin
7
The categories of this paper are: hep-th
17
The categories of this paper are: q-fin
14
The categories of this paper are: math-ph
18
The categories of this paper are: econ
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
6
The categories of this paper are: astro-ph
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
35
The categories of this paper are: mtrl-th
16
The categories of this paper are: stat