843 search results - page 5 / 169 » Learning aspect models with partially labeled data |
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Active learning strategies can be useful when manual labeling
effort is scarce, as they select the most informative
examples to be annotated first. However, for visual category
...
AAAI
2010
13 years 8 months ago
2010
Modeling human behavior requires vast quantities of accurately labeled training data, but for ubiquitous people-aware applications such data is rarely attainable. Even researchers...
ICANN
2009
Springer
13 years 12 months ago
2009
Springer
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
PAMI
2007
13 years 6 months ago
2007
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
In this work, we study the problem of within-network relational learning and inference, where models are learned on a partially labeled relational dataset and then are applied to ...