Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Minimizing Acquisition Maximizing Inference -- A demonstration on print
  error detection   Is it possible to detect a feature in an image without ever looking at it?
Images are known to have sparser representation in Wavelets and other similar
transforms. Compressed Sensing is a technique which proposes simultaneous
acquisition and compression of any signal by taking very few random linear
measurements (M). The quality of reconstruction directly relates with M, which
should be above a certain threshold for a reliable recovery. Since these
measurements can non-adaptively reconstruct the signal to a faithful extent
using purely analytical methods like Basis Pursuit, Matching Pursuit, Iterative
thresholding, etc., we can be assured that these compressed samples contain
enough information about any relevant macro-level feature contained in the
(image) signal. Thus if we choose to deliberately acquire an even lower number
of measurements - in order to thwart the possibility of a comprehensible
reconstruction, but high enough to infer whether a relevant feature exists in
an image - we can achieve accurate image classification while preserving its
privacy. Through the print error detection problem, it is demonstrated that
such a novel system can be implemented in practise.

27
The categories of this paper are: comp-gas
2
The categories of this paper are: math
26
The categories of this paper are: bayes-an
10
The categories of this paper are: q-bio
9
The categories of this paper are: nlin
37
The categories of this paper are: supr-con
6
The categories of this paper are: astro-ph
23
The categories of this paper are: solv-int
22
The categories of this paper are: chao-dyn
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg
17
The categories of this paper are: q-fin
36
The categories of this paper are: cmp-lg
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph