Incremental PCA: an alternative approach for novelty detection
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 perform...
| Principais autores: | Nehmzow, Ulrich, Vieira Neto, Hugo |
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| Formato: | Trabalho Apresentado em Evento |
| Idioma: | Inglês |
| Publicado em: |
Curitiba
2013
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http://repositorio.utfpr.edu.br/jspui/handle/1/661 |
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riut-1-6612015-03-07T06:12:31Z Incremental PCA: an alternative approach for novelty detection Nehmzow, Ulrich Vieira Neto, Hugo Robôs móveis Visão por computador Análise de componentes principais Mobile robots Computer vision Principal components analysis 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. 5000 2013-11-21T23:28:36Z 2005 conferenceObject VIEIRA NETO, Hugo; NEHMZOW, Ulrich. Incremental PCA: an alternative approach for novelty detection. In: TOWARDS AUTONOMOUS ROBOTIC SYSTEMS, 10., 2005, Londres. Anais eletrônicos… Londres, 2005. Disponível em: <http://www.iis.ee.ic.ac.uk/~taros05/papers/vieira.pdf>. Acesso em: 16 jul. 2013. 0-905247-03-5 http://repositorio.utfpr.edu.br/jspui/handle/1/661 eng Towards Autonomous Robotic Systems http://www.iis.ee.ic.ac.uk/~taros05/papers/vieira.pdf application/pdf Curitiba |
| institution |
Universidade Tecnológica Federal do Paraná |
| collection |
RIUT |
| language |
Inglês |
| topic |
Robôs móveis Visão por computador Análise de componentes principais Mobile robots Computer vision Principal components analysis |
| spellingShingle |
Robôs móveis Visão por computador Análise de componentes principais Mobile robots Computer vision Principal components analysis Nehmzow, Ulrich Vieira Neto, Hugo Incremental PCA: an alternative approach for novelty detection |
| description |
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. |
| format |
Trabalho Apresentado em Evento |
| author |
Nehmzow, Ulrich Vieira Neto, Hugo |
| author_sort |
Nehmzow, Ulrich |
| title |
Incremental PCA: an alternative approach for novelty detection |
| title_short |
Incremental PCA: an alternative approach for novelty detection |
| title_full |
Incremental PCA: an alternative approach for novelty detection |
| title_fullStr |
Incremental PCA: an alternative approach for novelty detection |
| title_full_unstemmed |
Incremental PCA: an alternative approach for novelty detection |
| title_sort |
incremental pca: an alternative approach for novelty detection |
| publisher |
Curitiba |
| publishDate |
2013 |
| citation |
VIEIRA NETO, Hugo; NEHMZOW, Ulrich. Incremental PCA: an alternative approach for novelty detection. In: TOWARDS AUTONOMOUS ROBOTIC SYSTEMS, 10., 2005, Londres. Anais eletrônicos… Londres, 2005. Disponível em: <http://www.iis.ee.ic.ac.uk/~taros05/papers/vieira.pdf>. Acesso em: 16 jul. 2013. 0-905247-03-5 |
| url |
http://repositorio.utfpr.edu.br/jspui/handle/1/661 |
| _version_ |
1805315536235528192 |
| score |
10,814766 |