3097 search results - page 1 / 620 » Adaptive Manifold Learning |
ICMLA
2008
13 years 6 months ago
2008
We are interested in learning an adaptive local metric on a lower dimensional manifold for query
NIPS
2004
13 years 6 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...
NIPS
2004
13 years 6 months ago
2004
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...
PAKDD
2005
ACM
13 years 10 months ago
2005
ACM
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
This paper investigates compression of 3D objects in computer graphics using manifold learning. Spectral compression uses the eigenvectors of the graph Laplacian of an object'...