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ICPR
2008
IEEE
14 years 6 months ago
Graph-based classification for multiple observations of transformed patterns
We consider the problem of classification when multiple observations of a pattern are available, possibly under different transformations. We view this problem as a special case o...
Effrosini Kokiopoulou, Pascal Frossard, Stefanos P...
MCS
2010
Springer
13 years 6 months ago
Selecting Structural Base Classifiers for Graph-Based Multiple Classifier Systems
Selecting a set of good and diverse base classifiers is essential for building multiple classifier systems. However, almost all commonly used procedures for selecting such base cla...
Wan-Jui Lee, Robert P. W. Duin, Horst Bunke
MCS
2004
Springer
13 years 10 months ago
Multiple Classifiers System for Reducing Influences of Atypical Observations
Atypical observations, which are called outliers, are one of difficulties to apply standard Gaussian density based pattern classification methods. Large number of outliers makes di...
Sarunas Raudys, Masakazu Iwamura
DATE
2006
IEEE
99views Hardware» more  DATE 2006»
13 years 11 months ago
Multiple-fault diagnosis based on single-fault activation and single-output observation
In this paper, we propose a new circuit transformation technique in conjunction with the use of a special diagnostic test pattern, named SO-SLAT pattern, to achieve higher multipl...
Yung-Chieh Lin, Kwang-Ting Cheng
ICASSP
2011
IEEE
12 years 8 months ago
Compressed classification of observation sets with linear subspace embeddings
We consider the problem of classification of a pattern from multiple compressed observations that are collected in a sensor network. In particular, we exploit the properties of r...
Dorina Thanou, Pascal Frossard