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ICIP
2006
IEEE
16 years 8 months ago
Denoising Archival Films using a Learned Bayesian Model
We develop a Bayesian model of digitized archival films and use this for denoising, or more specifically de-graining, individual frames. In contrast to previous approaches our mod...
Teodor Mihai Moldovan, Stefan Roth, Michael J. Bla...
CVPR
2010
IEEE
16 years 3 months ago
Learning Mid-Level Features For Recognition
Many successful models for scene or object recognition transform low-level descriptors (such as Gabor filter responses, or SIFT descriptors) into richer representations of interme...
Y-Lan Boureau, Francis Bach, Yann LeCun, Jean Ponc...
ICANN
2009
Springer
16 years 1 months ago
Learning Features by Contrasting Natural Images with Noise
Abstract. Modeling the statistical structure of natural images is interesting for reasons related to neuroscience as well as engineering. Currently, this modeling relies heavily on...
Michael Gutmann, Aapo Hyvärinen
PRIMA
2009
Springer
16 years 1 months ago
An Adaptive Agent Model for Emotion Reading by Mirroring Body States and Hebbian Learning
In recent years, the topic of emotion reading has increasingly received attention from researchers in Cognitive Science and Artificial Intelligence. To study this phenomenon, in th...
Tibor Bosse, Zulfiqar A. Memon, Jan Treur
SACMAT
2009
ACM
16 years 1 months ago
Automating role-based provisioning by learning from examples
Role-based provisioning has been adopted as a standard component in leading Identity Management products due to its low administration cost. However, the cost of adjusting existin...
Qun Ni, Jorge Lobo, Seraphin B. Calo, Pankaj Rohat...