1839 search results - page 92 / 368 » Feature Selection in Clustering Problems |
138
Voted
ICMCS
2006
IEEE
15 years 9 months ago
2006
IEEE
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
116
Voted
ICNC
2005
Springer
15 years 9 months ago
2005
Springer
The problem of automatic classification of ultrasound images is addressed. For texture analysis of ultrasound images quantifiable indexes, called features, are used. Classificat...
130
Voted
JSS
2010
14 years 10 months ago
2010
Software product-lines (SPLs) are software architectures that can be readily reconfigured for different project requirements. A key part of an SPL is a model that captures the rul...
130
Voted
GECCO
2004
Springer
15 years 9 months ago
2004
Springer
In this paper we show how genetic programming can be used to discover useful texture feature extraction algorithms. Grey level histograms of different textures are used as inputs ...
124
Voted
CORR
2010
Springer
15 years 28 days ago
2010
Springer
In this paper we describe a procedure to reduce the size of the input feature vector. A complex pattern recognition problem like face recognition involves huge dimension of input ...