Using various image categorisation algorithms with a set of test data - Algorithms implemented include k-Nearest Neighbours (kNN), Support Vector Machine (SVM), then also either of the previously ...

Abstract In this paper, sixty-eight research articles published between 2000 and 2017 as well as textbooks which employed four classification algorithms: K-Nearest-Neighbor (KNN), Support Vector ...

Enhancing classification performance of functional near-infrared spectroscopy-brain-computer interface using adaptive estimation of general linear model coefficients.

Using various image categorisation algorithms with a set of test data - Algorithms implemented include k-Nearest Neighbours (kNN), Support Vector Machine (SVM), then also either of the previously ...

This paper presents a novel locally linear KNN model with the goal of not only developing efficient representation and classification methods, but also establishing a relation between them so as to ...