37 search results - page 1 / 8 » Bootstrapping SVM Active Learning by Incorporating Unlabelle... |
CVPR
2003
IEEE
14 years 6 months ago
2003
IEEE
The performance of image retrieval with SVM active learning is known to be poor when started with few labelled images only. In this paper, the problem is solved by incorporating t...
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...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Active learning has been shown as a key technique for improving content-based image retrieval (CBIR) performance. Among various methods, support vector machine (SVM) active learni...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
SVM based image retrieval suffers from the scarcity of labelled samples. In this paper, this problem is solved by incorporating prior knowledge into SVM. Firstly, some prior knowl...
ICMCS
2000
IEEE
13 years 9 months ago
2000
IEEE
One of the difficulties of Content-Based Image Retrieval (CBIR) is the gap between high-level concepts and low-level image features, e.g., color and texture. Relevance feedback wa...