986 search results - page 135 / 198 » Zero-data Learning of New Tasks |
CVPR
2008
IEEE
15 years 12 months ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
We present an active learning framework to simultaneously learn appearance and contextual models for scene understanding tasks (multi-class classification). Existing multi-class a...
CRV
2009
IEEE
15 years 4 months ago
2009
IEEE
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...
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ICDM
2009
IEEE
15 years 4 months ago
2009
IEEE
—Active learning can actively select or construct examples to label to reduce the number of labeled examples needed for building accurate classifiers. However, previous works of...
AUSAI
2003
Springer
15 years 3 months ago
2003
Springer
An important task in machine learning is determining which learning algorithm works best for a given data set. When the amount of data is small the same data needs to be used repea...