348 search results - page 15 / 70 » Learning Determinantal Point Processes |
DAGM
2004
Springer
14 years 26 days ago
2004
Springer
We compare two approaches to the problem of estimating the depth of a point in space from observing its image position in two
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Traditional computer vision and machine learning algorithms have been largely studied in a centralized setting, where all the processing is performed at a single central location....
3DOR
2010
13 years 2 months ago
2010
While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
DAGM
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Isomap is a highly popular manifold learning and dimensionality reduction technique that effectively performs multidimensional scaling on estimates of geodesic distances....
JMLR
2010
13 years 2 months ago
2010
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...