2878 search results - page 67 / 576 » Learning the Common Structure of Data |
105
Voted
ICIP
2004
IEEE
16 years 5 months ago
2004
IEEE
In this paper we present a coherent approach using the hierarchical HMM with shared structures to extract the structural units that form the building blocks of an education/traini...
144
Voted
MICCAI
2009
Springer
15 years 10 months ago
2009
Springer
This paper investigates an approach to model the space of brain images through a low-dimensional manifold. A data driven method to learn a manifold from a collections of brain imag...
151
Voted
IICAI
2003
15 years 4 months ago
2003
Abstract. We introduce a new genetic algorithm approach for learning a Bayesian network structure from data. Our method is capable of learning over all node orderings and structure...
168
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IJCNN
2007
IEEE
15 years 9 months ago
2007
IEEE
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
157
Voted
EMMCVPR
2011
Springer
14 years 3 months ago
2011
Springer
Traditional approaches to Multiple-Instance Learning (MIL) operate under the assumption that the instances of a bag are generated independently, and therefore typically learn an in...