466 search results - page 10 / 94 » Shape Priors using Manifold Learning Techniques |
105
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BMVC
2010
14 years 9 months ago
2010
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
IPMI
2007
Springer
16 years 16 days ago
2007
Springer
Abstract. Volume segmentation is a relatively slow process and, in certain circumstances, the enormous amount of prior knowledge available is underused. Model-based liver segmentat...
NIPS
2008
15 years 1 months ago
2008
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
104
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ECCV
2004
Springer
16 years 1 months ago
2004
Springer
Abstract. Statistical shape and texture appearance models are powerful image representations, but previously had been restricted to 2D or 3D shapes with smooth surfaces and lambert...
117
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ICCV
2005
IEEE
16 years 1 months ago
2005
IEEE
We propose a novel approach for shape-based segmentation based on a specially designed level set function format. This format permits us to better control the process of object re...