Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SpectralWeight: a spectral graph wavelet framework for weight prediction
  of pork cuts   In this paper, we propose a novel approach for the quality assessment of pork
carcasses using 3D shape analysis. First, we make a 3D model of a pork
half-carcass using a 3D scanner and then we take advantage of spectral graph
wavelet signature (SGWS) to build a local spectral descriptor. Next, we
aggregate the extracted features using the bag-of-geometric-words paradigm to
globally represent the half-carcass shape. We then employ partial least-squares
regression to predict the weight of pork cuts for the quality assessment of
carcasses. Our results demonstrate that SpectralWeight can predict the weight
of different pork cuts and tissues with high accuracy. Although in this study
we evaluate the performance of SGWS for the weight prediction of pork
dissection, our framework is fairly general and enables new ways to estimate
the quality and economical value of carcasses of different animals.

9
The categories of this paper are: nlin
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
33
The categories of this paper are: plasm-ph
28
The categories of this paper are: alg-geom
11
The categories of this paper are: hep-lat
10
The categories of this paper are: q-bio
24
The categories of this paper are: dg-ga
0
The categories of this paper are: hep-ph
13
The categories of this paper are: quant-ph
2
The categories of this paper are: math
31
The categories of this paper are: ao-sci
22
The categories of this paper are: chao-dyn