270 search results - page 13 / 54 » Large-Scale Many-Class Learning |
CVPR
2010
IEEE
14 years 1 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 ...
CVPR
2011
IEEE
13 years 5 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
13 years 11 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
13 years 11 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
13 years 11 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...