290 search results - page 16 / 58 » Learning hierarchical similarity metrics |
ICML
2007
IEEE
15 years 10 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
15 years 10 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
15 years 11 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...
82
Voted
ICASSP
2011
IEEE
14 years 1 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...
86
Voted
FLAIRS
2004
14 years 11 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, ...