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» A Framework for Multiple-Instance Learning
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PUC
2010
121views more  PUC 2010»
13 years 7 months ago
The BehaviorScope framework for enabling ambient assisted living
Abstract The in-house monitoring of elders using intelligent sensors is a very desirable service that has the potential of increasing autonomy and independence while minimizing the...
Athanasios Bamis, Dimitrios Lymberopoulos, Thiago ...
IJAR
2010
130views more  IJAR 2010»
13 years 7 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
BMVC
2010
13 years 6 months ago
StyP-Boost: A Bilinear Boosting Algorithm for Learning Style-Parameterized Classifiers
We introduce a novel bilinear boosting algorithm, which extends the multi-class boosting framework of JointBoost to optimize a bilinear objective function. This allows style param...
Jonathan Warrell, Philip H. S. Torr, Simon Prince
ICPR
2004
IEEE
14 years 10 months ago
A Probabilistic Framework for Joint Head Tracking and Pose Estimation
Head Tracking and pose estimation are usually considered as two sequential and separate problems: pose is estimated on the head patch provided by a tracking module. However, preci...
Jean-Marc Odobez, Sileye O. Ba
CVPR
2010
IEEE
14 years 5 months ago
Exploring Features in a Bayesian Framework for Material Recognition
We are interested in identifying the material category, e.g. glass, metal, fabric, plastic or wood, from a single image of a surface. Unlike other visual recognition tasks in comp...
Ce Liu, Lavanya Sharan, Edward Adelson, Ruth Rosen...