Work

Incremental PCA: an alternative approach for novelty detection

Year: 2005

Type: conference-paper

Abstract: Exploration and inspection of dynamic environments using mobile robots are applications that benefit immensely from novelty detection algorithms. In this paper we propose the use of a new approach for on-line novelty detection based on incremental Principal Component Analysis and compare its performance and functionality with a previously studied technique based on a GWR neural network. We have conducted a series of experiments using visual input from a mobile robot interacting with a controlled laboratory environment that show advantages and disadvantages for each method.

Source: Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)

Authors: Ulrich Nehmzow, Hugo Vieira Neto

Institution: University of Essex

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1507894493

FWCI: 1.25

Cites: 7

Cited by: 26

Related to: 10