• Publications
  • Influence
Data Mining - Concepts and Techniques
  • P. Perner
  • Computer Science
  • Künstliche Intell.
  • 2002
Mining knowledge for HEp-2 cell image classification
TLDR
An image analysis and feature extraction algorithm was developed based on an expert's image reading and based on the automatic extracted features to give the expert new insights into the necessary features and the classification knowledge. Expand
Machine Learning and Data Mining in Pattern Recognition
  • P. Perner
  • Computer Science
  • Lecture Notes in Computer Science
  • 21 July 2009
TLDR
Data mining techniques that use metrics defined on sets of partitions of finite sets such as decision tree induction, feature selection, and data discretization are discussed. Expand
Machine Learning and Data Mining in Pattern Recognition
  • P. Perner
  • Computer Science
  • Lecture Notes in Computer Science
  • 30 August 2011
Motion Tracking of Animals for Behavior Analysis
TLDR
This paper presents an object-oriented method used in order to record the behavior of pigs in stabling, which was used instead of a block- oriented method. Expand
Image mining: issues, framework, a generic tool and its application to medical-image diagnosis
TLDR
The developed methodology of data mining in picture-archiving systems was applied in other medical tasks, such as in lung-nodule diagnosis in X-ray images, lymph-node diagnosis in MRI and investigation of breast MRI. Expand
An Architecture for a CBR Image Segmentation System
TLDR
This paper proposes a novel architecture for image segmentation method based on CBR, which can adapt to changing image qualities and environmental conditions, and shows how it performs on medical images. Expand
An architecture for a CBR image segmentation system
TLDR
The whole architecture of the proposed method for image segmentation based on CBR is described, as well as the methods used for the various components of the systems, and how the technique performs on medical images is shown. Expand
Case-Based Reasoning on Images and Signals
  • P. Perner
  • Engineering, Computer Science
  • Studies in Computational Intelligence
  • 12 December 2007
TLDR
This book is the first edited book that deals with the special topic of signals and images within Case-Based Reasoning (CBR) and it is hoped that scientists and computer science experts from industry, medicine and biotechnology who like to work on the special topics of CBR for signals and image will find this work useful. Expand
Why Case-Based Reasoning Is Attractive for Image Interpretation
TLDR
A new approach for an image interpretation system is introduced and its components are reviewed to introduce a new approach and review its components. Expand
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