1078 search results - page 15 / 216 » Optimizing Learning in Image Retrieval |
CIVR
2005
Springer
14 years 1 months ago
2005
Springer
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
ICMCS
2005
IEEE
14 years 1 months ago
2005
IEEE
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on On...
ECCV
2000
Springer
14 years 9 months ago
2000
Springer
Abstract. The ability to learn from user interaction is an important asset for content-based image retrieval (CBIR) systems. Over short times scales, it enables the integration of ...
ADBIS
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. The performance of an information retrieval system is usually measured in terms of two different criteria, precision and recall. This way, the optimization of any of its...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...