290 search results - page 16 / 58 » Learning hierarchical similarity metrics |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
A typical goal for transfer learning algorithms is to utilize knowledge gained in a source task to learn a target task faster. Recently introduced transfer methods in reinforcemen...
WWW
2005
ACM
14 years 8 months ago
2005
ACM
While several hierarchical classification methods have been applied to web content, such techniques invariably rely on a pre-defined taxonomy of documents. We propose a new techni...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper, we address the problems of deformable object matching (alignment) and segmentation with cluttered background. We propose a novel hierarchical log-linear model (HLLM...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tas...
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Voted
FLAIRS
2004
13 years 9 months ago
2004
er provides new techniques for abstracting the state space of a Markov Decision Process (MDP). These techniques extend one of the recent minimization models, known as -reduction, ...