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ACCV
2006
Springer
15 years 6 months ago
Probabilistic Modeling for Structural Change Inference
We view the task of change detection as a problem of object recognition from learning. The object is defined in a 3D space where the time is the 3rd dimension. We propose two com...
Wei Liu, Véronique Prinet
JMLR
2008
141views more  JMLR 2008»
15 years 19 days ago
Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models
In graphical modelling, a bi-directed graph encodes marginal independences among random variables that are identified with the vertices of the graph. We show how to transform a bi...
Mathias Drton, Thomas S. Richardson
PAMI
2012
13 years 3 months ago
Probabilistic Models for Inference about Identity
—Many face recognition algorithms use “distance-based” methods: Feature vectors are extracted from each face and distances in feature space are compared to determine matches....
Simon Prince, Peng Li, Yun Fu, Umar Mohammed, Jame...
ICCV
2007
IEEE
16 years 2 months ago
Spectral Latent Variable Models for Perceptual Inference
Atul Kanaujia, Cristian Sminchisescu, Dimitris N. ...
ALT
2008
Springer
15 years 9 months ago
Dynamic Modeling in Inductive Inference
John Case, Timo Kötzing