50 search results - page 5 / 10 » Pinview: Implicit Feedback in Content-Based Image Retrieval |
ECML
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. In this paper, the Ssair (Semi-Supervised Active Image Retrieval) approach, which attempts to exploit unlabeled data to improve the performance of content-based image ret...
CISST
2004
13 years 9 months ago
2004
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
IDEAL
2005
Springer
14 years 1 months ago
2005
Springer
It is known that no single descriptor is powerful enough to encompass all aspects of image content, i.e. each feature extraction method has its own view of the image content. A pos...
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...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
We present a Bayesian framework for content-based image retrieval which models the distribution of color and texture features within sets of related images. Given a userspecified ...