2312 search results - page 221 / 463 » On the Dimensionality of Face Space |
195
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VISUALIZATION
2005
IEEE
16 years 5 days ago
2005
IEEE
As standard volume rendering is based on an integral in physical space (or “coordinate space”), it is inherently dependent on the scaling of this space. Although this dependen...
177
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NIPS
2008
15 years 8 months ago
2008
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
178
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CACM
2010
15 years 6 months ago
2010
Data represented geometrically in high-dimensional vector spaces can be found in many applications. Images and videos, are often represented by assigning a dimension for every pix...
176
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MOC
2002
15 years 6 months ago
2002
We consider the approximation properties of finite element spaces on quadrilateral meshes. The finite element spaces are constructed starting with a given finite dimensional space ...
176
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
In dimensionality reduction approaches, the data are typically embedded in a Euclidean latent space. However for some data sets this is inappropriate. For example, in human motion...