TY - CHAP
T1 - Dimensionality reduction using stacked Kernel Discriminant Analysis for multi-label classification
AU - Tahir, Muhammad
AU - Bouridane, Ahmed
AU - Kittler, Josef
PY - 2013
Y1 - 2013
N2 - Multi-label classification in which each instance may belong to more than one class is a challenging research problem. Recently, a considerable amount of research has been concerned with the development of "good" multi-label learning methods. Despite the extensive research effort, many scientific challenges posed by e.g. curse-of-dimensionality and correlation among labels remain to be addressed. In this paper, we propose a new approach to multi-label classification which combines stacked Kernel Discriminant Analysis using Spectral Regression (SR-KDA) with state-of-the-art instance-based multi-label (ML) learning method. The proposed system is validated on two multi-label databases. The results indicate significant performance gains when compared with the state-of-the art multi-label methods for multi-label classification.
AB - Multi-label classification in which each instance may belong to more than one class is a challenging research problem. Recently, a considerable amount of research has been concerned with the development of "good" multi-label learning methods. Despite the extensive research effort, many scientific challenges posed by e.g. curse-of-dimensionality and correlation among labels remain to be addressed. In this paper, we propose a new approach to multi-label classification which combines stacked Kernel Discriminant Analysis using Spectral Regression (SR-KDA) with state-of-the-art instance-based multi-label (ML) learning method. The proposed system is validated on two multi-label databases. The results indicate significant performance gains when compared with the state-of-the art multi-label methods for multi-label classification.
KW - Dimensionality reduction
KW - KDA using spectral regression
KW - multi-label classification
UR - http://capitadiscovery.co.uk/northumbria-ac/items/1744041
UR - http://capitadiscovery.co.uk/northumbria-ac/items/1744041
U2 - 10.1007/978-3-642-38067-9_25
DO - 10.1007/978-3-642-38067-9_25
M3 - Chapter
SN - 978-3-642-38066-2
VL - 7872
T3 - Lecture Notes in Computer Science
SP - 283
EP - 294
BT - Multiple Classifier Systems
PB - Springer
CY - London
ER -