accepted on 03 July 2019, published on 24 July 2019 Copyright© 2019 Pooja Kherwa et al.,
licensed to EAI. This is an open access article distributed under the terms of the Creative …

Presents a literature review that covers the following topics related to Latent Semantic
Analysis (LSA):(1) LSA overview;(2) applications of LSA, including information retrieval (IR) …

Algorithms have never been more important. As the recipes of computer programs,
algorithms rule our lives. Although they can be forces for both good and evil, this is not a …

Data mining is the discovery of interesting, unexpected or valuable structures in large
datasets. As such, it has two rather different aspects. One of these concerns large …

Let M be an n¿× n matrix of rank r, and assume that a uniformly random subset E of its
entries is observed. We describe an efficient algorithm, which we call OptSpace, that …

Why doesn't your home page appear on the first page of search results, even when you
query your own name? How do other web pages always appear at the top? What creates …

This book presents a broad overview of numerical methods for students and professionals in
computationally oriented disciplines who need to solve mathematical problems. It differs …

The Handbook of Latent Semantic Analysis is the authoritative reference for the theory
behind Latent Semantic Analysis (LSA), a burgeoning mathematical method used to analyze …

The Handbook of Linear Algebra provides comprehensive coverage of linear algebra
concepts, applications, and computational software packages in an easy-to-use handbook …

Motivation: Many practical pattern recognition problems require non-negativity constraints.
For example, pixels in digital images and chemical concentrations in bioinformatics are non …