Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Gaussian Processes Online Observation Classification for RSSI-based
  Low-cost Indoor Positioning Systems   In this paper, we propose a real-time classification scheme to cope with
noisy Radio Signal Strength Indicator (RSSI) measurements utilized in indoor
positioning systems. RSSI values are often converted to distances for position
estimation. However due to multipathing and shadowing effects, finding a unique
sensor model using both parametric and non-parametric methods is highly
challenging. We learn decision regions using the Gaussian Processes
classification to accept measurements that are consistent with the operating
sensor model. The proposed approach can perform online, does not rely on a
particular sensor model or parameters, and is robust to sensor failures. The
experimental results achieved using hardware show that available positioning
algorithms can benefit from incorporating the classifier into their measurement
model as a meta-sensor modeling technique.

21
The categories of this paper are: adap-org
17
The categories of this paper are: q-fin
5
The categories of this paper are: gr-qc
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci
16
The categories of this paper are: stat
33
The categories of this paper are: plasm-ph
8
The categories of this paper are: hep-ex
34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
37
The categories of this paper are: supr-con
19
The categories of this paper are: eess
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an