78 search results - page 2 / 16 » Learning similarity measures in non-orthogonal space |
CVPR
2011
IEEE
13 years 5 months ago
2011
IEEE
Supervised methods for learning an embedding aim to map high-dimensional images to a space in which perceptually similar observations have high measurable similarity. Most approac...
CVPR
2004
IEEE
14 years 1 months ago
2004
IEEE
Relevance feedback approaches based on support vector machine (SVM) learning have been applied to significantly improve retrieval performance in content-based image retrieval (CBI...
SIGIR
2008
ACM
13 years 9 months ago
2008
ACM
In most IR clustering problems, we directly cluster the documents, working in the document space, using cosine similarity between documents as the similarity measure. In many real...
CVPR
2006
IEEE
14 years 3 months ago
2006
IEEE
The performance of many computer vision and machine learning algorithms critically depends on the quality of the similarity measure defined over the feature space. Previous works...
CACM
2010
13 years 8 months ago
2010
As it becomes increasingly viable to capture, store, and share large amounts of image and video data, automatic image analysis is crucial to managing visual information. Many prob...