466 search results - page 24 / 94 » Shape Priors using Manifold Learning Techniques |
108
click to vote
ACCV
2009
Springer
15 years 8 months ago
2009
Springer
This paper develops a supervised dimensionality reduction method, Lorentzian Discriminant Projection (LDP), for discriminant analysis and classification. Our method represents the...
129
click to vote
IJON
2007
15 years 1 months ago
2007
We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...
108
click to vote
PAMI
2002
15 years 1 months ago
2002
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Several leading techniques: Principal Compo...
113
click to vote
PR
2010
15 years 8 days ago
2010
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...
104
click to vote
ICPR
2008
IEEE
15 years 8 months ago
2008
IEEE
The importance of accurate early diagnostics of dyslexia that severely affects the learning abilities of children cannot be overstated. Neuropathological studies have revealed an ...