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» Handling variations and uncertainties
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CVPR
2007
IEEE
14 years 1 months ago
Robust Face Alignment for Illumination and Pose Invariant Face Recognition
In building a face recognition system for real-life scenarios, one usually faces the problem that is the selection of a feature-space and preprocessing methods such as alignment u...
Fatih Kahraman, Binnur Kurt, Muhittin Gökmen
MEMOCODE
2007
IEEE
14 years 1 months ago
Combining Multi-Valued Logics in SAT-based ATPG for Path Delay Faults
Due to the rapidly growing speed and the decreasing size of gates in modern chips, the probability of faults caused by the production process grows. Already small variations lead ...
Stephan Eggersglüß, Görschwin Fey,...
ECML
2007
Springer
14 years 1 months ago
Principal Component Analysis for Large Scale Problems with Lots of Missing Values
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
Tapani Raiko, Alexander Ilin, Juha Karhunen
MICCAI
2007
Springer
14 years 1 months ago
Robust Autonomous Model Learning from 2D and 3D Data Sets
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
Georg Langs, Rene Donner, Philipp Peloschek, Horst...
SCALESPACE
2007
Springer
14 years 1 months ago
Towards Segmentation Based on a Shape Prior Manifold
Incorporating shape priors in image segmentation has become a key problem in computer vision. Most existing work is limited to a linearized shape space with small deformation modes...
Patrick Etyngier, Renaud Keriven, Jean-Philippe Po...