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» Approximate algorithms for neural-Bayesian approaches
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CVPR
2005
IEEE
16 years 2 days ago
A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...
Qiang Ji, Yang Wang 0002
ECCV
1996
Springer
15 years 12 months ago
Euclidean Reconstruction: From Paraperspective to Perspective
In this paper we describe a method to perform Euclidean reconstruction with a perspective camera model. It incrementally performs reconstruction with a paraperspective camera in or...
Stéphane Christy, Radu Horaud
ICIP
2003
IEEE
15 years 11 months ago
Deformable face mapping for person identification
This paper introduces a novel deformable model for face mapping and its application to automatic person identification. While most face recognition techniques directly model the f...
Florent Perronnin, Jean-Luc Dugelay, Kenneth Rose
EMO
2009
Springer
174views Optimization» more  EMO 2009»
15 years 4 months ago
Constraint Programming
To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision...
Pascal Van Hentenryck
FDL
2008
IEEE
15 years 4 months ago
VHDL-AMS Implementation of a Numerical Ballistic CNT Model for Logic Circuit Simulation
—This paper introduces a novel numerical carbon nanotube transistor (CNT) modelling approach which brings in a flexible and efficient cubic spline non-linear approximation of t...
Dafeng Zhou, Tom J. Kazmierski, Bashir M. Al-Hashi...