356 search results - page 5 / 72 » Solving the Small Sample Size Problem of LDA |
ECCV
2004
Springer
14 years 26 days ago
2004
Springer
The null space of the within-class scatter matrix is found to express most discriminative information for the small sample size problem (SSSP). The null space-based LDA takes full ...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Dimensionality reduction is an important pre-processing step for many applications. Linear Discriminant Analysis (LDA) is one of the well known methods for supervised dimensionali...
ICONIP
2010
2010
A New Framework for Small Sample Size Face Recognition Based on Weighted Multiple Decision Templates
13 years 6 months ago
In this paper a holistic method and a local method based on decision template ensemble are investigated. In addition by combining both methods, a new hybrid method for boosting the...
BMCBI
2008
13 years 7 months ago
2008
Background: In many research areas it is necessary to find differences between treatment groups with several variables. For example, studies of microarray data seek to find a sign...
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MICCAI
2000
Springer
13 years 11 months ago
2000
Springer
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...