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» Using a Non-prior Training Active Feature Model
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AMFG
2003
IEEE
168views Biometrics» more  AMFG 2003»
15 years 1 months ago
Efficient Active Appearance Model for Real-Time Head and Facial Feature Tracking
This paper addresses the 3D tracking of pose and animation of the human face in monocular image sequences using Active Appearance Models. The classical appearancebased tracking su...
Fadi Dornaika, Jörgen Ahlberg
92
Voted
EMNLP
2009
14 years 7 months ago
Sinuhe - Statistical Machine Translation using a Globally Trained Conditional Exponential Family Translation Model
We present a new phrase-based conditional exponential family translation model for statistical machine translation. The model operates on a feature representation in which sentenc...
Matti Kääriäinen
ICML
2007
IEEE
15 years 10 months ago
An integrated approach to feature invention and model construction for drug activity prediction
We present a new machine learning approach for 3D-QSAR, the task of predicting binding affinities of molecules to target proteins based on 3D structure. Our approach predicts bind...
David Page, Jesse Davis, Soumya Ray, Vítor ...
INFORMATICALT
1998
91views more  INFORMATICALT 1998»
14 years 9 months ago
Forecasting Automation: an Emerging Branch of Forecasting Engineering
Principles of the framework called time series forecasting automation are presented. It is required in processing massive temporal data sets and creating completely user-oriented f...
Andrey Kharchenko
MVA
1990
133views Computer Vision» more  MVA 1990»
14 years 10 months ago
Using and Generating Environment Models for Indoor Mobile Robots
An autonomous mobile robot must be able to combine uncertain sensory information with prior knowledge of the world. Moreover, these operations have to be performed fast enough for...
Yuval Roth-Tabak, Terry E. Weymouth