289 search results - page 26 / 58 » Classification of unlabeled point sets using ANSIG |
119
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ICASSP
2009
IEEE
15 years 11 months ago
2009
IEEE
Training accurate acoustic models typically requires a large amount of transcribed data, which can be expensive to obtain. In this paper, we describe a novel semi-supervised learn...
139
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ESANN
2006
15 years 5 months ago
2006
We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...
152
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SDM
2008
SIAM
15 years 5 months ago
2008
SIAM
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
150
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ECCV
2000
Springer
16 years 6 months ago
2000
Springer
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
150
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BMCBI
2010
15 years 4 months ago
2010
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...