Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deciding of HMM parameters based on number of critical points for
  gesture recognition from motion capture data   This paper presents a method of choosing number of states of a HMM based on
number of critical points of the motion capture data. The choice of Hidden
Markov Models(HMM) parameters is crucial for recognizer's performance as it is
the first step of the training and cannot be corrected automatically within
HMM. In this article we define predictor of number of states based on number of
critical points of the sequence and test its effectiveness against sample data.

16
The categories of this paper are: stat
10
The categories of this paper are: q-bio
26
The categories of this paper are: bayes-an
2
The categories of this paper are: math
13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
25
The categories of this paper are: patt-sol
3
The categories of this paper are: physics
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int
22
The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
7
The categories of this paper are: hep-th
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc