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» Two-Dimensional Linear Discriminant Analysis
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101
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NN
2006
Springer
127views Neural Networks» more  NN 2006»
15 years 13 days ago
Assessing self organizing maps via contiguity analysis
- Contiguity Analysis is a straightforward generalization of Linear Discriminant Analysis in which the partition of elements is replaced by a more general graph structure. Applied ...
Ludovic Lebart
112
Voted
VLSISP
2002
139views more  VLSISP 2002»
15 years 3 days ago
A Modified Minimum Classification Error (MCE) Training Algorithm for Dimensionality Reduction
Dimensionality reduction is an important problem in pattern recognition. There is a tendency of using more and more features to improve the performance of classifiers. However, not...
Xuechuan Wang, Kuldip K. Paliwal
104
Voted
CVPR
2001
IEEE
16 years 2 months ago
Constructing Facial Identity Surfaces in a Nonlinear Discriminating Space
Recognising face with large pose variation is more challenging than that in a fixed view, e.g. frontal-view, due to the severe non-linearity caused by rotation in depth, selfshadi...
Yongmin Li, Shaogang Gong, Heather M. Liddell
112
Voted
ICIP
2005
IEEE
16 years 2 months ago
Visual tracking via efficient kernel discriminant subspace learning
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
Chunhua Shen, Anton van den Hengel, Michael J. Bro...
89
Voted
INTERSPEECH
2010
14 years 7 months ago
Augmented set of features for confidence estimation in spoken term detection
Discriminative confidence estimation along with confidence normalisation have been shown to construct robust decision maker modules in spoken term detection (STD) systems. Discrim...
Javier Tejedor, Doroteo Torre Toledano, Miguel Bau...