This article primarily concerns the problem of isolated handwritten numeral recognition of
major Indian scripts. The principal contributions presented here are (a) pioneering …

Feature selection is generally considered a very important step in any pattern recognition
process. Its aim is that of reducing the computational cost of the classification task, in an …

This paper deals with the recognition of handwritten Malayalam character using wavelet
energy feature (WEF) and extreme learning machine (ELM). The wavelet energy (WE) is a …

In the framework of handwriting recognition, we present a novel GA–based feature selection
algorithm in which feature subsets are evaluated by means of a specifically devised …

Abstract Machine simulation of human reading has been subject of intensive research for
the last three decades. This paper presents a summary about the recent advances in terms …

Quantitative algebras (QAs) are algebras over metric spaces defined by quantitative
equational theories as introduced by us in 2016. They provide the mathematical foundation …

Feature selection remains one of the most important steps for usability of a model for both
supervised and unsupervised classification. For a dataset, with n features, the number of …

This paper addresses the issue of class related reject thresholds for cascading classifier
systems. It has been demonstrated in the literature that class related reject thresholds …

Abstract The Toxicological Prioritization Index (ToxPi) is a visual analysis and decision
support tool for dimension reduction and visualization of high throughput, multi-dimensional …

The study of human emotions, traditionally a cornerstone in fields like psychology and
neuroscience, has been profoundly impacted by the advent of artificial intelligence (AI) …