78 search results - page 13 / 16 » On sampling in shift invariant spaces |
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
It is now common practice in machine vision to define the variability in an object's appearance in a factored manner, as a combination of shape and texture transformations. I...
CAD
2006
Springer
13 years 7 months ago
2006
Springer
A large amount of 2D drawings have been produced in engineering fields. To reuse and share the available drawings efficiently, we propose two methods in this paper, namely 2.5D sp...
ICIP
2007
IEEE
14 years 9 months ago
2007
IEEE
The problem of human activity recognition via visual stimuli can be approached using manifold learning, since the silhouette (binary) images of a person undergoing a smooth motion...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Basis functions derived from an undirected graph connecting nearby samples from a Markov decision process (MDP) have proven useful for approximating value functions. The success o...
TKDE
2010
13 years 5 months ago
2010
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...