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...
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...
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...
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 ...
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...