335 search results - page 8 / 67 » Neighborly Embedded Manifolds |
NIPS
2004
13 years 10 months ago
2004
Recently, there have been several advances in the machine learning and pattern recognition communities for developing manifold learning algorithms to construct nonlinear low-dimen...
PAMI
2008
13 years 8 months ago
2008
This paper describes BoostMap, a method for efficient nearest neighbor retrieval under computationally expensive distance measures. Database and query objects are embedded into a v...
CVPR
2003
IEEE
14 years 10 months ago
2003
IEEE
By mapping a set of input images to points in a lowdimensional manifold or subspace, it is possible to efficiently account for a small number of degrees of freedom. For example, i...
CVPR
2010
IEEE
14 years 2 months ago
2010
IEEE
Local features have proven very useful for recognition.
Manifold learning has proven to be a very powerful tool in
data analysis. However, manifold learning application for
imag...
ICMCS
2005
IEEE
14 years 2 months ago
2005
IEEE
Semi-definite Embedding (SDE) has been a recently proposed to maximize the sum of pair wise squared distances between outputs while the input data and outputs are locally isometri...