133 search results - page 22 / 27 » Tracking of Multiple Targets Using Online Learning for Refer... |
156
Voted
ECRTS
2006
IEEE
15 years 8 months ago
2006
IEEE
There is an increasing demand to introduce adaptive capabilities in distributed real-time and embedded (DRE) systems that execute in open environments where system operational con...
103
Voted
ICCS
2005
Springer
15 years 8 months ago
2005
Springer
This study proposes a novel forecasting approach – an adaptive smoothing neural network (ASNN) – to predict foreign exchange rates. In this new model, adaptive smoothing techni...
114
Voted
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
In this study, we propose increasing discriminative power on the maximum a posteriori (MAP)-based mapping function estimation for acoustic model adaptation. Based on the effective...
268
Voted
ECCV
2004
Springer
16 years 4 months ago
2004
Springer
The problem of tracking a varying number of non-rigid objects has two major difficulties. First, the observation models and target distributions can be highly non-linear and non-Ga...
124
click to vote
COLING
2010
14 years 9 months ago
2010
Machine-learned ranking techniques automatically learn a complex document ranking function given training data. These techniques have demonstrated the effectiveness and flexibilit...