25 search results - page 4 / 5 » Multiple-Instance Learning with Structured Bag Models |
ECSQARU
2009
Springer
13 years 12 months ago
2009
Springer
To explore the Perturb and Combine idea for estimating probability densities, we study mixtures of tree structured Markov networks derived by bagging combined with the Chow and Liu...
ACL
2006
13 years 6 months ago
2006
We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— The number of XML documents produced and available on the Internet is steadily increasing. It is thus important to devise automatic procedures to extract useful information fro...
CVPR
2010
IEEE
13 years 3 months ago
2010
IEEE
Our goal is to fit the multiple instances (or structures) of a generic model existing in data. Here we propose a novel model selection scheme to estimate the number of genuine str...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
In this paper, we present a novel approach for automatically learning a compact and yet discriminative appearance-based human action model. A video sequence is represented by a ba...