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ECCV
2008
Springer
14 years 9 months ago
Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
Cassio Polpo de Campos, Yan Tong, Qiang Ji
ESEC
1999
Springer
14 years 3 days ago
Checking Progress with Action Priority: Is it Fair?
The liveness characteristics of a system are intimately related to the notion of fairness. However, the task of explicitly modelling fairness constraints is complicated in practice...
Dimitra Giannakopoulou, Jeff Magee, Jeff Kramer
CONNECTION
2006
91views more  CONNECTION 2006»
13 years 7 months ago
From unknown sensors and actuators to actions grounded in sensorimotor perceptions
This article describes a developmental system based on information theory implemented on a real robot that learns a model of its own sensory and actuator apparatus. There is no in...
Lars Olsson, Chrystopher L. Nehaniv, Daniel Polani
BMVC
2010
13 years 5 months ago
Embedding Visual Words into Concept Space for Action and Scene Recognition
In this paper we propose a novel approach to introducing semantic relations into the bag-of-words framework. We use the latent semantic models, such as LSA and pLSA, in order to d...
Behrouz Khadem, Elahe Farahzadeh, Deepu Rajan, And...
ACL
2009
13 years 5 months ago
Setting Up User Action Probabilities in User Simulations for Dialog System Development
User simulations are shown to be useful in spoken dialog system development. Since most current user simulations deploy probability models to mimic human user behaviors, how to se...
Hua Ai, Diane J. Litman