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What is Classi fication

Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications
The process of deriving a mathematical function that can predict the membership of a class based on input data.
Published in Chapter:
Machine Learning in Morphological Segmentation
O. Lezoray (Universite de Caen Basse-Normandie, France), G. Lebrun (Universite de Caen Basse-Normandie, France), C. Meurie (INRETS-LEOST, France), C. Charrier (Universite de Caen Basse-Normandie, France), A. Elmotataz (Universite de Caen Basse-Normandie, France), and M. Lecluse (Centre Hospitalier Public du Cotentin, France)
DOI: 10.4018/978-1-60566-314-2.ch021
The segmentation of microscopic images is a challenging application that can have numerous applications ranging from prognosis to diagnosis. Mathematical morphology is a very well established theory to process images. Segmentation by morphological means is based on watershed that considers an image as a topographic surface. Watershed requires input and marker image. The user can provide the latter but far more relevant results can be obtained for watershed segmentation if marker extraction relies on prior knowledge. Parameters governing marker extraction varying from image to image, machine learning approaches are of interest for robust extraction of markers. We review different strategies for extracting markers by machine learning: single classifier, multiple classifier, single classifier optimized by model selection.
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Motivational Matrix for Educational Games
A taxonomy according to dominant characteristics of some entities.
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Image Processing and Machine Learning Techniques for Facial Expression Recognition
The task that categorizes feature vectors into appropriate categories. Each category is called a class.
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Image Processing and Machine Learning Techniques for the Segmentation of cDNA
It is a procedure in which individual items are placed into groups based on quantitative information on one or more characteristics inherent in the items and based on a training set of previously labelled items.
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Exploiting the Strategic Potential of Data Mining
A technique in data mining that attempts to group data according to pre-specified categories such as “loyal customers” vs. “customers likely to switch.”
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