181 search results - page 21 / 37 » Graph Embedding: A General Framework for Dimensionality Redu... |
CIAC
2010
Springer
15 years 1 months ago
2010
Springer
In this paper, we consider an arbitrary class H of rooted graphs such that each biconnected component is given by a representation with reflectional symmetry, which allows a roote...
KDD
2001
ACM
15 years 10 months ago
2001
ACM
The problem of similarity search (query-by-content) has attracted much research interest. It is a difficult problem because of the inherently high dimensionality of the data. The ...
101
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ICIP
2007
IEEE
15 years 11 months ago
2007
IEEE
Image segmentation with shape priors has received a lot of attention over the past years. Most existing work focuses on a linearized shape space with small deformation modes aroun...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
102
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
This paper proposes a method to recover the embedding
of the possible shapes assumed by a deforming nonrigid
object by comparing triplets of frames from an orthographic
video se...