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ICPR
2002
IEEE
14 years 8 months ago
Robust Appearance-Based Object Recognition Using a Fully Connected Markov Random Field
This paper presents a new kernel method for appearance-based object recognition, highly robust to noise and occlusion. It consists of a fully connected Markov Random Field that in...
Barbara Caputo, Sahla Bouattour, Heinrich Niemann
IWIA
2006
IEEE
14 years 1 months ago
High Robustness Requirements in a Common Criteria Protection Profile
The development of a Common Criteria protection profile for high-robustness separation kernels requires explicit modifications of several Common Criteria requirements as well as e...
Thuy D. Nguyen, Timothy E. Levin, Cynthia E. Irvin...
ICIP
2006
IEEE
14 years 9 months ago
Low Cost Robust Blur Estimator
A novel local blur estimation method is presented in the paper. Focal blur process is usually modeled as a Gaussian low-pass filtering and then the problem of blur estimation is t...
Hao Hu, Gerard de Haan
GBRPR
2009
Springer
14 years 2 months ago
Edition within a Graph Kernel Framework for Shape Recognition
A large family of shape comparison methods is based on a medial axis transform combined with an encoding of the skeleton by a graph. Despite many qualities this encoding of shapes ...
François-Xavier Dupé, Luc Brun
CORR
2008
Springer
108views Education» more  CORR 2008»
13 years 7 months ago
Hierarchical Bag of Paths for Kernel Based Shape Classification
Graph kernels methods are based on an implicit embedding of graphs within a vector space of large dimension. This implicit embedding allows to apply to graphs methods which where u...
François-Xavier Dupé, Luc Brun