35 search results - page 5 / 7 » Batch mode Adaptive Multiple Instance Learning for computer ... |
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
NEUROSCIENCE
2001
Springer
14 years 2 days ago
2001
Springer
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
CVPR
2010
IEEE
14 years 25 days ago
2010
IEEE
Long-term persistent tracking in ever-changing environments is a challenging task, which often requires addressing difficult object appearance update problems. To solve them, most...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Multi-instance multi-label learning (MIML) refers to the
learning problems where each example is represented by a
bag/collection of instances and is labeled by multiple labels.
...
CVPR
2010
IEEE
12 years 4 months ago
2010
IEEE
Robust tracking of abrupt motion is a challenging task
in computer vision due to the large motion uncertainty. In
this paper, we propose a stochastic approximation Monte
Carlo (...