2507 search results - page 68 / 502 » Learning Low-Level Vision |
ACCV
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. Computation time is an important performance characteristic of computer vision algorithms. This paper shows how existing (slow) binary-valued decision algorithms can be a...
ECCV
2010
Springer
13 years 11 months ago
2010
Springer
Confronted with the high-dimensional tensor-like visual data, we derive a method for the decomposition of an observed tensor into a low-dimensional structure plus unbounded but spa...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
The aim of this work is to learn a shape prior model
for an object class and to improve shape matching with the
learned shape prior. Given images of example instances,
we can le...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
ICCV
2001
IEEE
14 years 10 months ago
2001
IEEE
We present a statistical model for organizing image collections which integrates semantic information provided by associated text and visual information provided by image features...