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IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
—Any system which must learn to perform a large number of behavioral features with limited information handling resources will tend to be constrained within a set of architectura...
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...
ITS
2010
Springer
14 years 1 months ago
2010
Springer
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
JMLR
2010
13 years 3 months ago
2010
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
JMLR
2010
13 years 3 months ago
2010
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...