712 search results - page 13 / 143 » Pruning Training Sets for Learning of Object Categories |
ICCV
2009
IEEE
15 years 21 days ago
2009
IEEE
We present a method to learn visual attributes (eg.“red”,
“metal”, “spotted”) and object classes (eg. “car”,
“dress”, “umbrella”) together. We assume imag...
CLOR
2006
13 years 11 months ago
2006
Abstract. We consider the problem of detecting a large number of different classes of objects in cluttered scenes. We present a learning procedure, based on boosted decision stumps...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
We address the problem of visual category recognition by learning an image-to-image distance function that attempts to satisfy the following property: the distance between images ...
ICMI
2009
Springer
14 years 2 months ago
2009
Springer
Social interactions unfold over time, at multiple time scales, and can be observed through multiple sensory modalities. In this paper, we propose a machine learning framework for ...
FLAIRS
2006
13 years 9 months ago
2006
AdaBoost is a well known, effective technique for increasing the accuracy of learning algorithms. However, it has the potential to overfit the training set because its objective i...