After probability theory, fuzzy set theory and evidence theory, rough set theory is a new
mathematical tool for dealing with vague, imprecise, inconsistent and uncertain knowledge …

Particle swarm optimization (PSO) is a population-based stochastic algorithm modeled on
the social behaviors observed in flocking birds. Over the past quarter century, the particle …

In this paper, we proposed Harmony Search and Differential Evolution based outlier
detection for medium dimensional numerical datasets. The sparsity coefficient is taken as …

In this paper, a memory-efficient outlier detection (MEOD) approach for streaming data is
proposed. The approach uses a local correlation integral (LOCI) algorithm for outlier …

Abstract We propose two Modified Differential Evolution driven subspace based optimization
models for anomaly detection in customer credit card churn detection, automobile insurance …

This paper presents a method for 3D pose estimation using visual information and a soft-
computing algorithm. The algorithm uses quaternions to represent rotations, and Particle …

Swarm optimization algorithms, inspired by the collective behavior of biological swarms, are
a promising tool for solving the problem of optimizing complex systems where traditional …

Rough set theory and its hybrid models are new emerging techniques to deal with
uncertainties, impreciseness and ambiguities. In past few years, researchers are taking keen …

The outlier detection has many applications and research attention to it is increasing. The
detection rate is a significant measure for outlier mining that evaluates the outlier detection …

Pose estimation is one of the most important tasks in mobile robotics. The problem consist in
estimate the position of the mobile robot using a sensor on the robot. In this work we assume …