139 search results - page 1 / 28 » Stochastic exploration and active learning for image retriev... |
IVC
2007
13 years 4 months ago
2007
This paper deals with content-based image retrieval. When the user is looking for large categories, statistical classification techniques are efficient as soon as the training se...
ICCV
2003
IEEE
13 years 10 months ago
2003
IEEE
Concept learning in content-based image retrieval (CBIR) systems is a challenging task. This paper presents an active concept learning approach based on mixture model to deal with...
PR
2007
13 years 4 months ago
2007
In relevance feedback algorithms, selective sampling is often used to reduce the cost of labeling and explore the unlabeled data. In this paper, we proposed an active learning alg...
ICITA
2005
IEEE
13 years 10 months ago
2005
IEEE
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...
SAC
2005
ACM
13 years 10 months ago
2005
ACM
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...