Ali Julazadeh

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In this paper, A novel classification approach based on sparse representation framework is proposed. The method finds the minimum Euclidian distance between an input patch (pattern) and atoms (templates) of a learnt-base dictionary for different classes to perform the classification task. A mathematical approach is developed to map the sparse representation(More)
Segmenting lateral ventricle in medical images plays an important role in medical diagnosis. The volume of lateral ventricle increases with age and it is an important indicator of Alzheimer's, schizophrenia, and depressive disorders. In this article a new approach based on sparse representation and dictionary learning as a pre process of the existing active(More)
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