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88
Voted
ICML
2008
IEEE
15 years 11 months ago
2008
IEEE
In high-dimensional classification problems it is infeasible to include enough training samples to cover the class regions densely. Irregularities in the resulting sparse sample d...
83
Voted
CIKM
2008
Springer
15 years 7 days ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
85
Voted
MMM
2007
Springer
15 years 4 months ago
2007
Springer
A new segmentation algorithm for multifont Farsi/Arabic texts based on conditional labeling of up and down contours was presented in [1]. A preprocessing technique was used to adju...
ICCV
2007
IEEE
16 years 6 days ago
2007
IEEE
In this paper we present a novel boosting algorithm for supervised learning that incorporates invariance to data transformations and has high generalization capabilities. While on...
107
Voted
EPIA
2009
Springer
15 years 2 months ago
2009
Springer
Abstract. Robots need to ground their external vocabulary and internal symbols in observations of the world. In recent works, this problem has been approached through combinations ...