10 citations · 15 across the 5 of their papers we have counts for
5 papers
Sparse Component Analysis (SCA) in Random-valued and Salt and Pepper Noise Removal
Hadi. Zayyani, Seyyedmajid Valiollahzadeh, Massoud. Babaie-Zadeh
In this paper, we propose a new method for impulse noise removal from images. It uses the sparsity of images in the Discrete Cosine Transform (DCT) domain. The zeros in this domain…
Face Detection Using Adaboosted SVM-Based Component Classifier
Seyyed Majid Valiollahzadeh, Abolghasem Sayadiyan, Mohammad Nazari
Recently, Adaboost has been widely used to improve the accuracy of any given learning algorithm. In this paper we focus on designing an algorithm to employ combination of Adaboost…
Feature Selection By KDDA For SVM-Based MultiView Face Recognition
Seyyed Majid Valiollahzadeh, Abolghasem Sayadiyan, Mohammad Nazari
Applications such as face recognition that deal with high-dimensional data need a mapping technique that introduces representation of low-dimensional features with enhanced discrim…
Probabilistic SVM/GMM Classifier for Speaker-Independent Vowel Recognition in Continues Speech
Mohammad Nazari, Abolghasem Sayadiyan, SeyedMajid Valiollahzadeh
In this paper, we discuss the issues in automatic recognition of vowels in Persian language. The present work focuses on new statistical method of recognition of vowels as a basic…
A New Trend in Optimization on Multi Overcomplete Dictionary toward Inpainting
SeyyedMajid Valiollahzadeh, Mohammad Nazari, Massoud Babaie-Zadeh +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 s…