608 search results - page 4 / 122 » Some Solutions to the Missing Feature Problem in Vision |
NIPS
1994
13 years 6 months ago
1994
We present efficient algorithms for dealing with the problem of missing inputs (incomplete feature vectors) during training and recall. Our approach is based on the approximation ...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
This paper presents a novel alternative approach, namely weakly supervised learning (WSL), to learn the pre-image of a feature vector in the feature space induced by a kernel. It ...
ICCV
2007
IEEE
13 years 11 months ago
2007
IEEE
This paper shows that structure from motion is NP-hard for most sensible cost functions when missing data is allowed. The result provides a fundamental limitation of what is possi...
CVPR
1996
IEEE
14 years 7 months ago
1996
IEEE
This paper addresses the general 3-D rigid motion problem, where the point correspondences and the motion parameters between two sets of 3-D points are to be recovered. The existe...
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
In this paper we propose an algorithm to estimate missing
values in tensors of visual data. The values can be missing
due to problems in the acquisition process, or because
the ...