1880 search results - page 19 / 376 » Robust Learning - Rich and Poor |
111
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CVPR
2003
IEEE
16 years 3 months ago
2003
IEEE
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
115
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CIARP
2006
Springer
15 years 3 months ago
2006
Springer
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
CVPR
2005
IEEE
16 years 3 months ago
2005
IEEE
We present and analyze a novel regularization technique based on enhancing our dataset with corrupted copies of our original data. The motivation is that since the learning algori...
136
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CVPR
2012
IEEE
13 years 4 months ago
2012
IEEE
We describe an online approach to learn non-linear motion patterns and robust appearance models for multi-target tracking in a tracklet association framework. Unlike most previous...