Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An unsupervised bayesian approach for the joint reconstruction and
  classification of cutaneous reflectance confocal microscopy images   This paper studies a new Bayesian algorithm for the joint reconstruction and
classification of reflectance confocal microscopy (RCM) images, with
application to the identification of human skin lentigo. The proposed Bayesian
approach takes advantage of the distribution of the multiplicative speckle
noise affecting the true reflectivity of these images and of appropriate priors
for the unknown model parameters. A Markov chain Monte Carlo (MCMC) algorithm
is proposed to jointly estimate the model parameters and the image of true
reflectivity while classifying images according to the distribution of their
reflectivity. Precisely, a Metropolis-whitin-Gibbs sampler is investigated to
sample the posterior distribution of the Bayesian model associated with RCM
images and to build estimators of its parameters, including labels indicating
the class of each RCM image. The resulting algorithm is applied to synthetic
data and to real images from a clinical study containing healthy and lentigo
patients.

25
The categories of this paper are: patt-sol
31
The categories of this paper are: ao-sci
30
The categories of this paper are: q-alg
23
The categories of this paper are: solv-int
27
The categories of this paper are: comp-gas
24
The categories of this paper are: dg-ga
29
The categories of this paper are: funct-an
28
The categories of this paper are: alg-geom
35
The categories of this paper are: mtrl-th
7
The categories of this paper are: hep-th
0
The categories of this paper are: hep-ph
34
The categories of this paper are: chem-ph
11
The categories of this paper are: hep-lat
1
The categories of this paper are: cs
26
The categories of this paper are: bayes-an
13
The categories of this paper are: quant-ph