This paper describes the ICFHR 2010 Contest for quantitative evaluation of binarization algorithms. These algorithm are applied to synthetic images of modern pdf documents with noi...
Roberto Paredes, Ergina Kavallieratou, Rafael Duei...
In this paper, we evaluate and investigate two main types of relevance feedback algorithms; the Euclidean and the correlation?based approaches. In the first case, we examine heuri...
In this paper, we try to improve a video object-tracking algorithm using a motion re-estimation scheme. The usual object tracking algorithm is composed of two steps: object projec...
We introduce an expectation maximizationtype (EM) algorithm for maximum likelihood optimization of conditional densities. It is applicable to hidden variable models where the dist...
Iterative shrinkage of sparse and redundant representations are at the heart of many state of the art denoising and deconvolution algorithms. They assume the signal is well approx...