14 search results - page 3 / 3 » Iterative Hyperplane Merging: A Framework for Manifold Learn... |
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
We propose a graph-based semi-supervised symmetric matching framework that performs dense matching between two uncalibrated wide-baseline images by exploiting the results of sparse...
ICIP
2006
IEEE
14 years 6 months ago
2006
IEEE
Linear techniques are widely used to reduce the dimension of image representation spaces in applications such as image indexing and object recognition. Optimal Component Analysis ...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
CVPR
2009
IEEE
13 years 8 months ago
2009
IEEE
Ranking large scale image and video collections usually expects higher accuracy on top ranked data, while tolerates lower accuracy on bottom ranked ones. In view of this, we propo...