161 search results - page 6 / 33 » Learning Distance Functions for Image Retrieval |
KDD
2005
ACM
14 years 7 months ago
2005
ACM
Tasks of data mining and information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be for...
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. In this paper we propose a new distance metric for probability density functions (PDF). The main advantage of this metric is that unlike the popular Kullback-Liebler (KL)...
IEEECIT
2005
IEEE
14 years 1 months ago
2005
IEEE
Similarity search leveraging distance-based index structures is increasingly being used for complex data types. It has been shown that for high dimensional uniform vectors with si...
ECCV
2000
Springer
14 years 9 months ago
2000
Springer
A novel algorithm is proposed to learn pattern similarities for texture image retrieval. Similar patterns in di erent texture classes are grouped into a cluster in the feature spac...
CVPR
2001
IEEE
14 years 9 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...