78 search results - page 11 / 16 » Multiple instance learning for sparse positive bags |
ICDE
2000
IEEE
14 years 9 months ago
2000
IEEE
In this paper, we develop and test an approach to retrieving images from an image database based on content similarity. First, each picture is divided into many overlapping region...
AUSAI
2005
Springer
14 years 1 months ago
2005
Springer
In content-based image retrieval (CBIR), the user usually poses several labelled images and then the system attempts to retrieve all the images relevant to the target concept defi...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
There has been much work on applying multiple-instance (MI) learning to contentbased image retrieval (CBIR) where the goal is to rank all images in a known repository using a smal...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Automatic image categorization using low-level features is a challenging research topic in computer vision. In this paper, we formulate the image categorization problem as a multi...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Multi-instance multi-label learning (MIML) refers to the
learning problems where each example is represented by a
bag/collection of instances and is labeled by multiple labels.
...