203 search results - page 15 / 41 » Learning Better Image Representations Using 'Flobject Analys... |
ICCV
1999
IEEE
15 years 1 months ago
1999
IEEE
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
121
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MICCAI
2000
Springer
15 years 1 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...
ICIP
2006
IEEE
15 years 11 months ago
2006
IEEE
Linear techniques are widely used to reduce the dimension of image representation spaces in applications such as image indexing and object recognition. Optimal Component Analysis ...
142
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ISBI
2011
IEEE
14 years 1 months ago
2011
IEEE
Object boundary extraction is an important task in brain image analysis. Acquiring detailed 3D representations of the brain structures could improve the detection rate of diseases...
ICIAR
2005
Springer
15 years 3 months ago
2005
Springer
Concavity trees have been known for quite some time as structural descriptors of 2-D shape; however, they haven’t been explored further until recently. This paper shows how 2-D s...