78 search results - page 2 / 16 » Agnostic Learning vs. Prior Knowledge Challenge |
SLSFS
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
CGF
2011
12 years 9 months ago
2011
Classical approaches to shape correspondence base their computation purely on the properties, in particular geometric similarity, of the shapes in question. Their performance stil...
CVPR
2010
IEEE
13 years 9 months ago
2010
IEEE
Lymph nodes have high clinical relevance but detection is challenging as they are hard to see due to low contrast and irregular shape. In this paper, a method for fully automatic ...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
Kernel functions are often cited as a mechanism to encode prior knowledge of a learning task. But it can be difficult to capture prior knowledge effectively. For example, we know ...