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16th International Conference on Pattern Recognition (ICPR'02) - Volume 2
Pattern Recognition Using Information Slicing Method (pRISM)
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
ASCII Text
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Sameer Singh, Antony Galton, "Pattern Recognition Using Information Slicing Method (pRISM)," Pattern Recognition, International Conference on, vol. 2, pp. 20144, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 2, 2002.
 
 
BibTex
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@article{ 10.1109/ICPR.2002.1048258,
author = {Sameer Singh and Antony Galton},
title = {Pattern Recognition Using Information Slicing Method (pRISM)},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2002},
issn = {1051-4651},
pages = {20144},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1048258},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Pattern Recognition Using Information Slicing Method (pRISM)
SN - 1051-4651
SP
EP
A1 - Sameer Singh,
A1 - Antony Galton,
PY - 2002
KW - null
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
Sameer Singh, University of Exeter
Antony Galton, University of Exeter
In this paper we present a method of partitioning feature space of given data into a number of hypercuboids. We derive the overall complexity of the classification problem as a weighted sum of the hypercube's separability measure and the number of elements present in them. On a total of eight Gaussian distributions and two UCI pattern recognition benchmarks, we quantify the complexity of the classification problem. Also, we discuss how our approach can be used to solve a range of pattern recognition problems in a non-conventional but highly effective manner.
Citation:
Sameer Singh, Antony Galton, "Pattern Recognition Using Information Slicing Method (pRISM)," icpr, vol. 2, pp.20144, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 2, 2002
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