Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial
  Expression Recognition   In domains where computational resources and labeled data are limited, such
as in robotics, deep networks with millions of weights might not be the optimal
solution. In this paper, we introduce a connectivity scheme for pyramidal
architectures to increase their capacity for learning features. Experiments on
facial expression recognition of unseen people demonstrate that our approach is
a potential candidate for applications with restricted resources, due to good
generalization performance and low computational cost. We show that our
approach generalizes as well as convolutional architectures in this task but
uses fewer trainable parameters and is more robust for low-resolution faces.

21
The categories of this paper are: adap-org
17
The categories of this paper are: q-fin
13
The categories of this paper are: quant-ph
29
The categories of this paper are: funct-an
27
The categories of this paper are: comp-gas
4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn
12
The categories of this paper are: nucl-th
25
The categories of this paper are: patt-sol
30
The categories of this paper are: q-alg
24
The categories of this paper are: dg-ga
28
The categories of this paper are: alg-geom
14
The categories of this paper are: math-ph
23
The categories of this paper are: solv-int
0
The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph