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» Using a Non-prior Training Active Feature Model
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COMPSYSTECH
2009
14 years 7 months ago
A Bayesian approach to recognise facial expressions using vector flows
: Facial expressions play an important role in human nonverbal communication. They can be generated by activation and dilatation of facial muscles. In this paper we describe a syst...
Xiaofan Sun, Léon J. M. Rothkrantz, Dragos ...
ICCV
2007
IEEE
15 years 11 months ago
Real-time Body Tracking Using a Gaussian Process Latent Variable Model
In this paper, we present a tracking framework for capturing articulated human motions in real-time, without the need for attaching markers onto the subject's body. This is a...
Shaobo Hou, Aphrodite Galata, Fabrice Caillette, N...
83
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ISWC
2006
IEEE
15 years 3 months ago
Towards Less Supervision in Activity Recognition from Wearable Sensors
Activity Recognition has gained a lot of interest in recent years due to its potential and usefulness for context-aware wearable computing. However, most approaches for activity r...
Tâm Huynh, Bernt Schiele
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
14 years 10 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
ACL
2008
14 years 11 months ago
Phrase Table Training for Precision and Recall: What Makes a Good Phrase and a Good Phrase Pair?
In this work, the problem of extracting phrase translation is formulated as an information retrieval process implemented with a log-linear model aiming for a balanced precision an...
Yonggang Deng, Jia Xu, Yuqing Gao