23 search results - page 1 / 5 » Scalable Metric Learning for Co-Embedding |
IJCAI
2007
14 years 8 days ago
2007
In recent years, metric learning in the semisupervised setting has aroused a lot of research interests. One type of semi-supervised metric learning utilizes supervisory informatio...
CVPR
2008
IEEE
15 years 26 days ago
2008
IEEE
We introduce a method that enables scalable image search for learned metrics. Given pairwise similarity and dissimilarity constraints between some images, we learn a Mahalanobis d...
ECCV
2010
Springer
2010
Springer
Backprojection Revisited: Scalable Multi-view Object Detection and Similarity Metrics for Detections
14 years 4 months ago
Hough transform based object detectors learn a mapping from the image domain to a Hough voting space. Within this space, object hypotheses are formed by local maxima. The votes con...
ICML
2009
IEEE
14 years 11 months ago
2009
IEEE
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
CVPR
2012
IEEE
12 years 1 months ago
2012
IEEE
In this paper, we raise important issues on scalability and the required degree of supervision of existing Mahalanobis metric learning methods. Often rather tedious optimization p...