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ENTCS
2006
103views more  ENTCS 2006»
15 years 6 months ago
Supporting SAT based BMC on Finite Path Models
The standard translation of a Bounded Model Checking (BMC) instance into a satisfiability problem, (a.k.a SAT), might produce misleading results in the case when the model under v...
Daniel Geist, Mark Ginzburg, Yoad Lustig, Ishai Ra...
IJCV
2000
164views more  IJCV 2000»
15 years 6 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
FGR
2011
IEEE
271views Biometrics» more  FGR 2011»
14 years 10 months ago
Active conditional models
— Matching images with large geometric and iconic changes (e.g. faces under different poses and facial expressions) is an open research problem in computer vision. There are two ...
Ying Chen, Fernando De la Torre
ICCV
2009
IEEE
16 years 12 months ago
Efficient Discriminative Learning of Parts-based Models
Supervised learning of a parts-based model can be for- mulated as an optimization problem with a large (exponen- tial in the number of parts) set of constraints. We show how thi...
M. Pawan Kumar, Andrew Zisserman, Philip H.S. Torr
ICASSP
2009
IEEE
16 years 1 months ago
Maximum-likelihood estimation of autoregressive models with conditional independence constraints
We propose a convex optimization method for maximum likelihood estimation of autoregressive models, subject to conditional independence constraints. This problem is an extension t...
Jitkomut Songsiri, Joachim Dahl, Lieven Vandenberg...