372 search results - page 18 / 75 » The Tower of Knowledge Scheme for Learning in Computer Visio... |
ICCV
2003
IEEE
14 years 10 months ago
2003
IEEE
Visual learning is expected to be a continuous and robust process, which treats input images and pixels selectively. In this paper we present a method for subspace learning, which...
CVPR
2009
IEEE
15 years 3 months 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...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
Conventional Binarization methods try to obtain optimal results based on the single image only. They make distinct diversity of binarization quality sometimes even for images of t...
ECCV
2010
Springer
14 years 1 months ago
2010
Springer
Learning a new object class from cluttered training images is very challenging when the location of object instances is unknown. Previous works generally require objects covering a...
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...