890 search results - page 3 / 178 » Learning Generic Prior Models for Visual Computation |
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
SCALESPACE
2007
Springer
13 years 11 months ago
2007
Springer
Incorporating shape priors in image segmentation has become a key problem in computer vision. Most existing work is limited to a linearized shape space with small deformation modes...
ITICSE
2004
ACM
13 years 11 months ago
2004
ACM
The use of generic and generative methods for the development and application of interactive educational software is a relatively unexplored area in industry and education. Advant...
VL
2000
IEEE
13 years 10 months ago
2000
IEEE
This paper outlines DIAPLAN, a visual rule-based programming language and environment that is based on the computational model of graph transformation. Thanks to its genericity, D...