23 search results - page 1 / 5 » Scalable Metric Learning for Co-Embedding |
IJCAI
2007
13 years 6 months 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
14 years 6 months 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
13 years 10 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 5 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
11 years 7 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...