169 search results - page 28 / 34 » Reductions among high dimensional proximity problems |
MM
2005
ACM
14 years 1 months ago
2005
ACM
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
MM
2004
ACM
14 years 29 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 ...
ICIP
2002
IEEE
14 years 9 months ago
2002
IEEE
Users of image databases often prefer to retrieve relevant images by categories. Unfortunately, images are usually indexed by low-level features like color, texture and shape, whi...
SSDBM
2007
IEEE
14 years 1 months ago
2007
IEEE
In high dimensional data, clusters often only exist in arbitrarily oriented subspaces of the feature space. In addition, these so-called correlation clusters may have complex rela...
VRCAI
2006
ACM
14 years 1 months ago
2006
ACM
Recent developments in the fields of parallel rendering and high resolution tiled displays have made it possible to apply these technologies to build large and scalable stereo di...