Human activity recognition (HAR) is one of the most important and challenging problems in
the computer vision. It has critical application in wide variety of tasks including gaming …

This paper describes the research made toward improving medical case retrieval for
Alzheimer's Disease (AD). Our approach considers using Magnetic Resonance Images as …

This paper proposes a hybrid Rao-Nelder–Mead (Rao-NM) algorithm for image template
matching is proposed. The developed algorithm incorporates the Rao-1 algorithm and NM …

Image retrieval refers to searching for specific pattern when browsing digital images in large
databases. It is a fundamental topic in visual pattern recognition. The original image retrieval …

The aim of the paper is to present image retrieval for Alzheimer's Disease (AD) based on
brain atrophy pattern captured by the SPARE-AD (Spatial Pattern of Abnormality for …

The aim of this paper is to enhance medical case retrieval for Alzheimer's disease on the
basis of the domain knowledge. We approached the problem in a longitudinal manner, and …

In this thesis, we performed research towards finding an efficient way to organize and
represent the data from the medical cases with the aim to improve their retrieval from the …