772 search results - page 143 / 155 » Novel Observation Model for Probabilistic Object Tracking |
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...
SIGMOD
2010
ACM
14 years 14 days ago
2010
ACM
Applications ranging from location-based services to multi-player online gaming require continuous query support to monitor, track, and detect events of interest among sets of mov...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Estimating the illumination and the reflectance properties
of an object surface from a sparse set of images is an
important but inherently ill-posed problem. The problem
becomes...
ARC
2009
Springer
14 years 2 months ago
2009
Springer
A system for automatically classifying the trajectory of a moving object in a scene as usual or suspicious is presented. The system uses an unsupervised neural network (Self Organi...
NIPS
1998
13 years 9 months ago
1998
We compare the ability of three exemplar-based memory models, each using three different face stimulus representations, to account for the probability a human subject responded &q...