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ECCV
2008
Springer
14 years 11 months ago
Locating Facial Features with an Extended Active Shape Model
We make some simple extensions to the Active Shape Model of Cootes et al. [4], and use it to locate features in frontal views of upright faces. We show on independent test data tha...
Stephen Milborrow, Fred Nicolls
ATAL
2005
Springer
14 years 2 months ago
Using the UML 2.0 activity diagram to model agent plans and actions
The behavior of an agent is defined through the specification of plans and actions. Agents have a set of plans that are selected to be executed according to their goals (and other...
Viviane Torres da Silva, Ricardo Choren, Carlos Jo...
INTERSPEECH
2010
13 years 3 months ago
Memory-based active learning for French broadcast news
Stochastic dependency parsers can achieve very good results when they are trained on large corpora that have been manually annotated. Active learning is a procedure that aims at r...
Frédéric Tantini, Christophe Cerisar...
ICML
2005
IEEE
14 years 9 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
ICPR
2006
IEEE
14 years 10 months ago
Multi-View Active Shape Model with Robust Parameter Estimation
Active Shape Model is an efficient way for localizing objects with variable shapes. When ASM is extended to multiview cases, the parameter estimation approaches in previous works ...
Li Zhang, Haizhou Ai