We propose a novel non-linear video diffusion approach which is able to focus on parts of a video sequence that are relevant for applications in audio-visual analysis. The diffusi...
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
We present a novel weighted approach for shrinkage functions learning in image denoising. The proposed approach optimizes the shape of the shrinkage functions and maximizes denois...
1 Recently, great attention was intended toward overcomplete dictionaries and the sparse representations they can provide. In a wide variety of signal processing problems, sparsity...
Seyyed Majid Valiollahzadeh, Mohammad Nazari, Mass...
Coping with Information Overload is a major challenge of the 21st century. Huge volumes and varieties of multilingual data must be processed to extract salient information. Previo...
Allen L. Gorin, Carey E. Priebe, John Grothendieck