392 search results - page 73 / 79 » A visual analytics approach to model learning |
NIPS
2004
13 years 9 months ago
2004
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
ML
2006
ACM
13 years 8 months ago
2006
ACM
Most game programs have a large number of parameters that are crucial for their performance. While tuning these parameters by hand is rather difficult, efficient and easy to use ge...
CORR
2011
Springer
13 years 3 months ago
2011
Springer
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
CVPR
2007
IEEE
14 years 2 months ago
2007
IEEE
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
SCALESPACE
2007
Springer
14 years 2 months ago
2007
Springer
Incorporating shape priors in image segmentation has become a key problem in computer vision. Most existing work is limited to a linearized shape space with small deformation modes...