Now showing items 1-3 of 3
Volumetric Histogram-Based Alzheimer's Disease Detection Using Support Vector Machine
(NLM (Medline), 2019)
In this research work, machine learning techniques are used to classify magnetic resonance imaging brain scans of people with Alzheimer's disease. This work deals with binary classification between Alzheimer's disease and ...
Supervised Vocal-Based Emotion Recognition Using Multiclass Support Vector Machine, Random Forests, and Adaboost
(AUDIO ENGINEERING SOC, 2017-07)
This paper investigates and compares three different classifiers-multi-class Support Vector Machine, Adaboost, and random forests-for the purpose of vocal emotion recognition. Additionally, the decisions of all classifiers ...
Reducible dictionaries for single image super-resolution based on patch matching and mean shifting
(IS&T & SPIE, 2017-03)
A single-image super-resolution (SR) method is proposed. The proposed method uses a generated dictionary from pairs of high resolution (HR) images and their corresponding low resolution (LR) representations. First, HR ...