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ACCV
2009
Springer
16 years 1 months ago
Levels of Details for Gaussian Mixture Models
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
Vincent Garcia, Frank Nielsen, Richard Nock
AIED
2009
Springer
16 years 1 months ago
Handling Uncertainty and Multiple Perspectives for Learner Modeling by Cognitive Mapping
This research deals with two issues for learner modeling: uncertainty and multiple perspectives. Hence, it proposes a process called cognitive mapping to acquire and describe objec...
Alejandro Peña Ayala
FGR
2008
IEEE
266views Biometrics» more  FGR 2008»
16 years 1 months ago
Bilinear elastically deformable models with application to 3D face and facial expression recognition
In this paper, we explore bilinear and elastically deformable models for addressing jointly 3-dimensional face and facial expression recognition. An elastically deformable model i...
Iordanis Mpiperis, Sotiris Malassiotis, Michael G....
HICSS
2008
IEEE
251views Biometrics» more  HICSS 2008»
16 years 1 months ago
Business Process Modeling: A Service-Oriented Approach
This research concerns the definition of a service-oriented approach for business processes modeling. Business services are reusable process units that contain one or several proc...
Corine Cauvet, Gwladys Guzelian
ICASSP
2008
IEEE
16 years 1 months ago
NeSh: A joint shadowing model for links in a multi-hop network
Accurate analysis and simulation in multi-hop (sensor, ad hoc, and mesh) networks requires accurate representation of physical layer fading processes. Current models either ignore...
Neal Patwari, Piyush Agrawal