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Statistical classification

Known as: Classifier, Classification (machine learning), Classification 
In machine learning and statistics, classification is the problem of identifying to which of a set of categories (sub-populations) a new observation… 
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Papers overview

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Highly Cited
2014
Highly Cited
2014
The limitations of current state-of-the-art methods for single-view depth estimation and semantic segmentations are closely tied… 
Review
2013
Review
2013
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential… 
Highly Cited
2009
Highly Cited
2009
This paper investigates the design of a system for recognizing objects in 3D point clouds of urban environments. The system is… 
Review
2007
Review
2007
Abstract. Perhaps the most straightforward classifier in the arsenal ormachine learning techniques is the Nearest Neighbour Classi… 
Review
2002
Review
2002
The basic nearest neighbour classifier suffers from the indiscriminate storage of all presented training instances. With a large… 
Highly Cited
2001
Highly Cited
2001
In this paper, we propose an efficient method for personal identification by analyzing iris patterns that have a high level of… 
Highly Cited
1999
Highly Cited
1999
A joint conditional probability model is proposed to represent a measure of a future landslide hazard, and five estimation… 
Highly Cited
1998
Highly Cited
1998
This paper describes experiments in Machine Learning for text classification using a new representation of text based on WordNet… 
Highly Cited
1990
Highly Cited
1990
A fuzzy supervised classification method in which geographical information is represented as fuzzy sets is described. The… 
Review
1979
Review
1979
  • P. Young
  • 1979
  • Corpus ID: 7232872