61 search results - page 1 / 13 » Using Relevance Feedback to Learn Both the Distance Measure ... |
KES
2005
Springer
13 years 10 months ago
2005
Springer
Much of the world’s data is in the form of time series, and many other types of data, such as video, image, and handwriting, can easily be transformed into time series. This fact...
ICMCS
2007
IEEE
13 years 11 months ago
2007
IEEE
This paper introduces a flexible learning approach for image retrieval with relevance feedback. A semantic repository is constructed offline by applying the k-nearest-neighborbase...
CVPR
2001
IEEE
14 years 6 months ago
2001
IEEE
A new scheme of learning similarity measure is proposed for content-based image retrieval (CBIR). It learns a boundary that separates the images in the database into two parts. Im...
SIGIR
1999
ACM
13 years 8 months ago
1999
ACM
There has been much recent interest in retrieval of time series data. Earlier work has used a fixed similarity metric (e.g., Euclidean distance) to determine the similarity betwee...
ICMCS
2000
IEEE
13 years 9 months ago
2000
IEEE
Relevance feedback [1] has been a powerful tool for interactive Content-Based Image Retrieval (CBIR). During the retrieval process, the user selects the most relevant images and p...