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» Adaptive Discriminative Generative Model and Its Application...
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CVPR
2009
IEEE
16 years 9 months ago
Discriminatively Trained Particle Filters for Complex Multi-Object Tracking
This work presents a discriminative training method for particle filters in the context of multi-object tracking. We are motivated by the difficulty of hand-tuning the many mode...
Alan Fern, Robin Hess
132
Voted
IPC
2007
IEEE
15 years 8 months ago
Mining User Models for Effective Adaptation of Context-Aware Applications
Current context-aware adaptation techniques are limited in their support for user personalisation. Complex codebases, a reliance on developer modification and an inability to auto...
Shiu Lun Tsang, Siobhán Clarke
TIP
2010
97views more  TIP 2010»
14 years 8 months ago
Image Clustering Using Local Discriminant Models and Global Integration
In this paper, we propose a new image clustering algorithm, referred to as Clustering using Local Discriminant Models and Global Integration (LDMGI). To deal with the data points s...
Yi Yang, Dong Xu, Feiping Nie, Shuicheng Yan, Yuet...
132
Voted
WMCSA
2000
IEEE
15 years 6 months ago
Using history to improve mobile application adaptation
Prior work has shown the value of changing application fidelity to adapt to varying resource levels in a mobile environment. Choosing the right fidelity requires us to predict i...
Dushyanth Narayanan, Jason Flinn, Mahadev Satyanar...
100
Voted
ICASSP
2009
IEEE
15 years 8 months ago
Combining VTS model compensation and support vector machines
It is difficult to adapt discriminative classifiers, particularly kernel based ones such as support vector machines (SVMs), to handle mismatches between the training and test da...
Mark J. F. Gales, Federico Flego