1061 search results - page 156 / 213 » Integrity Constraints for Linked Data |
FTCGV
2011
13 years 1 months ago
2011
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
WAPCV
2004
Springer
14 years 3 months ago
2004
Springer
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
ISQED
2003
IEEE
14 years 3 months ago
2003
IEEE
In this paper, we evaluate the dependencies between tools, data and environment in process design kits, and present a framework for systematically analyzing the quality of the des...
ACIIDS
2009
IEEE
14 years 3 months ago
2009
IEEE
In this paper, two concepts from different research areas are addressed together, namely functional dependency (FD) and multidimensional association rule (MAR). FD is a class of i...
ICMLA
2007
13 years 11 months ago
2007
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...