270 search results - page 13 / 54 » Large-Scale Many-Class Learning |
CVPR
2010
IEEE
15 years 3 months ago
2010
IEEE
Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel ...
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CVPR
2011
IEEE
14 years 7 months ago
2011
IEEE
This paper addresses the problem of similar image retrieval, especially in the setting of large-scale datasets with millions to billions of images. The core novel contribution is ...
NIPS
2007
15 years 1 months ago
2007
To accelerate the training of kernel machines, we propose to map the input data to a randomized low-dimensional feature space and then apply existing fast linear methods. The feat...
FLAIRS
2003
15 years 1 months ago
2003
This paper presents a number of new algorithms for discovering the Markov Blanket of a target variable T from training data. The Markov Blanket can be used for variable selection ...
IAAI
2003
15 years 1 months ago
2003
Large-scale systems for information extraction include many different classifiers and extractors. Experience in building such systems shows that finding an appropriate architect...