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Newsletter September 2014

dice detection in an image

Object detection


Have you ever thought of detecting objects using machine learning tools?
Here is a step by step example. First we use a classifier to detect candidate regions, and then a powerful segmentation tool to identify each object.
Watch this 4 minute video to find out more.

Free Tickets for Vision 2014

Visit us at Vision trade fair on 4-6 November


We will present our latest developments at the world's leading machine vision trade fair in Stuttgart. We will be happy to meet you at our booth 1-H85. Come by to see examples of industrial classifier design!
Interested to discuss the future of machine learning for industrial vision application? Join our talk at the industrial vision days on November 6 at 12:30. See the full schedule
Would you like a FREE admission ticket? Just request one by email.
Looking forward to meet you at Vision!

perClass course 24-28 November 2014


training course on industrial machine learning

Want to learn how to build the best classifier for your problem?
Join us in the 24-28 November 2014 course in Delft, The Netherlands.
In this intensive 5-day course, you gain a proven methodology to solve your pattern recognition challenges. Lectures and hands-on exercises on industrial problems such as:

  • image-based defect detection
  • texture classification
  • hyperspectral object sorting
  • classification of database records
You're the expert in your field! Bring your data and learn how to build robust classifiers for your domain. Read testimonials

Learn more about the industrial pattern recognition course register now to the machine learning course for industry
perClass dedicated routing for measuring classifier speed

Measuring classifier speed

Feature highlights

Apart of accurate classifier, fast processing is the major requirement in applications such as on-line sorting or defect detection. The classifier has only a limited time to return the results, typically few milliseconds. When designing a classifier is, therefore, important to reliably measure classifier execution speed.
Read this knowledge base article to find out more.

perClass referenced in recent books

Books recommending perClass

From the blog

We are happy to share that perClass is recommended by authors of several recent books. Several different areas are covered, including laser spectroscopy, analysis of seismic events and classifier fusion.

  • Combining Pattern Classifiers: Methods and Algorithms, Ludmila I.Kuncheva, ISBN-13: 978-1118315231, September 2014 amazon
  • Laser Spectroscopy for Sensing: Fundamentals, Techniques and Applications, Matthieu Baudelet, ISBN: 978-0-85709-273-1, January 2014 amazon
  • Earthquake Research and Analysis - Seismology, Seismotectonic and Earthquake Geology Edited by Dr Sebastiano D'Amico, ISBN 978-953-307-991-2, 2012, Chapter 19 by Mauricio Orozco-Alzate et.al. intech open