46 search results - page 3 / 10 » A Multiple Instance Learning Approach for Content Based Imag... |
KAIS
2010
13 years 3 months ago
2010
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
Over the past decade, multiple-instance learning (MIL)
has been successfully utilized to model the localized
content-based image retrieval (CBIR) problem, in which a
bag corresp...
ISBI
2009
IEEE
13 years 11 months ago
2009
IEEE
One of the main challenges for Content-Based Image Retrieval (CBIR) is to achieve meaningful mappings between the high-level semantic concepts and the low-level visual features in...
VISUAL
2000
Springer
13 years 8 months ago
2000
Springer
Abstract. The present work is focused on a global image characterization based on a description of the 2D displacements of the different shapes present in the image, which can be e...
MIR
2010
ACM
13 years 3 months ago
2010
ACM
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...