662 search results - page 38 / 133 » Making inferences with small numbers of training sets |
107
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AAAI
2006
15 years 1 months ago
2006
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...
CIKM
2008
Springer
15 years 1 months 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...
ICCSA
2003
Springer
15 years 5 months ago
2003
Springer
A speaker model in speaker recognition system is to be trained from a large data set gathered in multiple sessions. Large data set requires large amount of memory and computation, ...
105
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CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
We present a method for real-time 3D object detection
that does not require a time consuming training stage, and
can handle untextured objects. At its core, is a novel tem-
plat...
FGR
1996
IEEE
15 years 4 months ago
1996
IEEE
Automatic facial feature detection is typically solved by usingmanually segmented imagestotrain a feature detector. In thispaper, we investigate whether it is possible toimprove t...