59 search results - page 2 / 12 » Learning Kernel Expansions for Image Classification |
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
We propose a family of kernels between images, defined as kernels between their respective segmentation graphs. The kernels are based on soft matching of subtree-patterns of the r...
WEBI
2010
Springer
13 years 3 months ago
2010
Springer
We propose using multi-layer multiple instance learning (MMIL) for image set classification and applying it to the task of cannabis website classification. We treat each image as a...
ICIP
2003
IEEE
14 years 7 months ago
2003
IEEE
In this paper we address the problem of classifying images, by exploiting global features that describe color and illumination properties, and by using the statistical learning pa...
CVPR
2009
IEEE
15 years 29 days ago
2009
IEEE
Most modern computer vision systems for high-level
tasks, such as image classification, object recognition and
segmentation, are based on learning algorithms that are
able to se...
ICCV
2005
IEEE
14 years 7 months ago
2005
IEEE
Discriminative learning is challenging when examples are sets of features, and the sets vary in cardinality and lack any sort of meaningful ordering. Kernel-based classification m...