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ICML
2010
IEEE
11 years 2 months ago
Large Scale Max-Margin Multi-Label Classification with Priors
We propose a max-margin formulation for the multi-label classification problem where the goal is to tag a data point with a set of pre-specified labels. Given a set of L labels, a...
Bharath Hariharan, Lihi Zelnik-Manor, S. V. N. Vis...
BMCBI
2008
220views more  BMCBI 2008»
11 years 1 months ago
Gene prediction in metagenomic fragments: A large scale machine learning approach
Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...
ECCV
2008
Springer
12 years 3 months ago
SERBoost: Semi-supervised Boosting with Expectation Regularization
The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
Amir Saffari, Helmut Grabner, Horst Bischof
IJCAI
2003
11 years 2 months ago
Combining Classification and Transduction for Value Prediction in Speculative Plan Execution
Speculative execution of information gathering plans can dramatically reduce the effect of source I/O latencies on overall performance. However, the utility of speculation is clos...
Greg Barish, Craig A. Knoblock
ECCV
2002
Springer
12 years 3 months ago
On Affine Invariant Clustering and Automatic Cast Listing in Movies
Abstract We develop a distance metric for clustering and classification algorithms which is invariant to affine transformations and includes priors on the transformation parameters...
Andrew W. Fitzgibbon, Andrew Zisserman
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