2507 search results - page 262 / 502 » Learning Low-Level Vision |
CVPR
2000
IEEE
14 years 11 months ago
2000
IEEE
Many problems in vision can be formulated as Bayesian inference. It is important to determine the accuracy of these inferences and how they depend on the problem domain. In recent...
CVPR
2005
IEEE
14 years 11 months ago
2005
IEEE
We present a novel, generic image classification method based on a recent machine learning algorithm (ensembles of extremely randomized decision trees). Images are classified usin...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Learning a discriminant becomes substantially more difficult when the datasets are high-dimensional and the available samples are few. This is often the case in computer vision an...
ICCV
2003
IEEE
14 years 11 months ago
2003
IEEE
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
ICCV
2003
IEEE
14 years 11 months ago
2003
IEEE
Most of the work on 3-D object recognition from range data has used an alignment-verification approach in which a specific 3-D object is matched to an exact instance of the same o...