Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Non-structural Representation Scheme for Articulated Shapes   For representing articulated shapes, as an alternative to the structured
models based on graphs representing part hierarchy, we propose a pixel-based
distinctness measure. Its spatial distribution yields a partitioning of the
shape into a set of regions each of which is represented via size normalized
probability distribution of the distinctness. Without imposing any structural
relation among parts, pairwise shape similarity is formulated as the cost of an
optimal assignment between respective regions. The matching is performed via
Hungarian algorithm permitting some unmatched regions. The proposed similarity
measure is employed in the context of clustering a set of shapes. The
clustering results obtained on three articulated shape datasets show that our
method performs comparable to state of the art methods utilizing component
graphs or trees even though we are not explicitly modeling component relations.

16
The categories of this paper are: stat
3
The categories of this paper are: physics
8
The categories of this paper are: hep-ex
20
The categories of this paper are: acc-phys
34
The categories of this paper are: chem-ph
36
The categories of this paper are: cmp-lg
35
The categories of this paper are: mtrl-th
5
The categories of this paper are: gr-qc
28
The categories of this paper are: alg-geom
18
The categories of this paper are: econ
0
The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
15
The categories of this paper are: nucl-ex
12
The categories of this paper are: nucl-th