712 search results - page 70 / 143 » Pruning Training Sets for Learning of Object Categories |
GECCO
2007
Springer
14 years 3 months ago
2007
Springer
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
ICCV
2005
IEEE
14 years 11 months ago
2005
IEEE
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
ICCV
2007
IEEE
14 years 11 months ago
2007
IEEE
We explore the problem of classifying images by the object categories they contain in the case of a large number of object categories. To this end we combine three ingredients: (i...
KDD
2006
ACM
14 years 9 months ago
2006
ACM
We introduce a novel framework (BLOSOM) for mining (frequent) boolean expressions over binary-valued datasets. We organize the space of boolean expressions into four categories: p...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Human beings have the ability to learn to recognize a new visual category based on only one or few training examples. Part of this ability might come from the use of knowledge fro...