Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Generation Drawing/Grinding Trajectoy Based on Hierarchical CVAE   In this study, we propose a method to model the local and global features of
the drawing/grinding trajectory with hierarchical Variational Autoencoders
(VAEs). By combining two separately trained VAE models in a hierarchical
structure, it is possible to generate trajectories with high reproducibility
for both local and global features. The hierarchical generation network enables
the generation of higher-order trajectories with a relatively small amount of
training data. The simulation and experimental results demonstrate the
generalization performance of the proposed method. In addition, we confirmed
that it is possible to generate new trajectories, which have never been learned
in the past, by changing the combination of the learned models.

29
The categories of this paper are: funct-an
6
The categories of this paper are: astro-ph
12
The categories of this paper are: nucl-th
26
The categories of this paper are: bayes-an
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
27
The categories of this paper are: comp-gas
0
The categories of this paper are: hep-ph
13
The categories of this paper are: quant-ph
11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th
25
The categories of this paper are: patt-sol
9
The categories of this paper are: nlin
32
The categories of this paper are: atom-ph
14
The categories of this paper are: math-ph