440 search results - page 13 / 88 » Learning the structure of manifolds using random projections |
CVPR
2008
IEEE
14 years 1 months ago
2008
IEEE
While low-dimensional image representations have been very popular in computer vision, they suffer from two limitations: (i) they require collecting a large and varied training se...
ACCV
2009
Springer
14 years 1 months ago
2009
Springer
Learning based super-resolution can recover high resolution image with high quality. However, building an interactive learning based super-resolution system for general images is e...
MP
2010
13 years 5 months ago
2010
: Each linear program (LP) has an optimal basis. The space of linear programs can be partitioned according to these bases, so called the basis partition. Discovering the structures...
NIPS
2004
13 years 8 months ago
2004
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
MM
2004
ACM
14 years 23 days ago
2004
ACM
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...