20 search results - page 1 / 4 » Feature selection using Haar wavelet power spectrum |
BMCBI
2006
13 years 5 months ago
2006
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
ICISP
2010
Springer
13 years 10 months ago
2010
Springer
High-resolution nuclear magnetic resonance (NMR) spectra contain important biomarkers that have potentials for early diagnosis of disease and subsequent monitoring of its progressi...
ICIP
2005
IEEE
14 years 6 months ago
2005
IEEE
Wavelet transform based image coding algorithms have the two inherent scalable features of SNR scalability and spatial (or resolution) scalability. However, fine scalability is sup...
FGR
2008
IEEE
13 years 11 months ago
2008
IEEE
Many facial image analysis methods rely on learningbased techniques such as Adaboost or SVMs to project classifiers based on the selection of local image filters (e.g., Haar and...
ICARCV
2002
IEEE
13 years 10 months ago
2002
IEEE
The focus of this work is on the problem of feature selection and classification for on-road vehicle detection. In particular, we propose using quantized Haar wavelet features an...