76 search results - page 10 / 16 » Nonlinear Dimensionality Reduction using Approximate Nearest... |
MICCAI
2007
Springer
14 years 8 months ago
2007
Springer
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
FOCS
2006
IEEE
14 years 1 months ago
2006
IEEE
We convert cell-probe lower bounds for polynomial space into stronger lower bounds for near-linear space. Our technique applies to any lower bound proved through the richness meth...
SIGMOD
2006
ACM
14 years 7 months ago
2006
ACM
To enable efficient similarity search in large databases, many indexing techniques use a linear transformation scheme to reduce dimensions and allow fast approximation. In this re...
TSMC
2010
13 years 2 months ago
2010
We study the problem of projecting high-dimensional tensor data on an unspecified Riemannian manifold onto some lower dimensional subspace1 without much distorting the pairwise geo...
ICCV
2007
IEEE
14 years 2 months ago
2007
IEEE
We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a category o...