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» A Framework for Multiple-Instance Learning
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150
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ECCV
2008
Springer
16 years 5 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
139
Voted
CVPR
2008
IEEE
15 years 10 months ago
3D face tracking and expression inference from a 2D sequence using manifold learning
We propose a person-dependent, manifold-based approach for modeling and tracking rigid and nonrigid 3D facial deformations from a monocular video sequence. The rigid and nonrigid ...
Wei-Kai Liao, Gérard G. Medioni
169
Voted
ICRA
2008
IEEE
229views Robotics» more  ICRA 2008»
15 years 10 months ago
Learning of moving cast shadows for dynamic environments
Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...
Ajay J. Joshi, Nikolaos Papanikolopoulos
127
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HICSS
2002
IEEE
109views Biometrics» more  HICSS 2002»
15 years 8 months ago
Embedding Self-Management and Generic Learning Support into Courseware Structures
Traditional Computer-Aided Teaching and Learning (CAT/CAL) environments in multimedia-based teleeducation do not empower knowledge consumers (trainees, students etc.) to practice ...
Andreas Auinger, Christian Stary
122
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AIED
2009
Springer
15 years 8 months ago
Towards Automatic Assessment for Project Based Learning Groups
Project course instructors routinely perform their formal assessments based on impressions formed from their mostly indirect experience with the groups they oversee. Nevertheless, ...
Gahgene Gweon, Rohit Kumar, Soojin Jun, Carolyn Pe...