780 search results - page 24 / 156 » Learning Low-Density Separators |
171
Voted
Publication
This paper presents a multi-output regression model for crowd counting in public scenes. Existing counting by regression methods either learn a single model for global counting, or...
105
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JMLR
2012
13 years 20 days ago
2012
Motivated by the observation that coarse and fine resolutions of an image reveal different structures in the underlying visual phenomenon, we present a model based on the Deep B...
98
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CVPR
2007
IEEE
16 years 7 days ago
2007
IEEE
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
110
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DAGSTUHL
2009
14 years 11 months ago
2009
We introduce and discuss the application of statistical physics concepts in the context of on-line machine learning processes. The consideration of typical properties of very large...
ICALT
2005
IEEE
15 years 3 months ago
2005
IEEE
Based on the overall aims of the AdeLE (Adaptive e-Learning with Eye-Tracking) project, and in particular motivated by the decision of using a strictly separated system’s archit...