567 search results - page 59 / 114 » Learning Pedestrian Dynamics from the Real World |
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
In this paper we propose a new clustering algorithm which combines the FCM clustering algorithm with the supervised learning normal mixture model; we call the algorithm as the FCM...
AAAI
2008
15 years 4 days ago
2008
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
In real world, an image is usually associated with multiple labels which are characterized by different regions in the image. Thus image classification is naturally posed as both ...