Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Replicating Active Appearance Model by Generator Network   A recent Cell paper [Chang and Tsao, 2017] reports an interesting discovery.
For the face stimuli generated by a pre-trained active appearance model (AAM),
the responses of neurons in the areas of the primate brain that are responsible
for face recognition exhibit strong linear relationship with the shape
variables and appearance variables of the AAM that generates the face stimuli.
In this paper, we show that this behavior can be replicated by a deep
generative model called the generator network, which assumes that the observed
signals are generated by latent random variables via a top-down convolutional
neural network. Specifically, we learn the generator network from the face
images generated by a pre-trained AAM model using variational auto-encoder, and
we show that the inferred latent variables of the learned generator network
have strong linear relationship with the shape and appearance variables of the
AAM model that generates the face images. Unlike the AAM model that has an
explicit shape model where the shape variables generate the control points or
landmarks, the generator network has no such shape model and shape variables.
Yet the generator network can learn the shape knowledge in the sense that some
of the latent variables of the learned generator network capture the shape
variations in the face images generated by AAM.

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The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph
15
The categories of this paper are: nucl-ex
32
The categories of this paper are: atom-ph
27
The categories of this paper are: comp-gas
29
The categories of this paper are: funct-an
4
The categories of this paper are: cond-mat
11
The categories of this paper are: hep-lat
9
The categories of this paper are: nlin
34
The categories of this paper are: chem-ph
3
The categories of this paper are: physics
10
The categories of this paper are: q-bio
23
The categories of this paper are: solv-int
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The categories of this paper are: quant-ph
31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc