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Pattern recognition

Known as: Pattern Recognition and Learning, Pattern recognition (machine learning), Pattern (disambiguation) 
Pattern recognition is a branch of machine learning that focuses on the recognition of patterns and regularities in data, although it is in some… 
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Related topics

Related topics

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Algorithmic tradingAutomated X-ray inspectionBioinformaticsBranch and bound

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2012
Review
2012
Computer and Machine Vision, Fourth Edition: Theory, Algorithms, Practicalities
Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically… 
2011
2011
Capturing the relative distribution of features for action recognition
This paper presents an approach to the categorisation of spatio-temporal activity in video, which is based solely on the relative… 
Highly Cited
2007
Highly Cited
2007
THz-Wave Spectroscopy Applied to the Detection of Illicit Drugs in Mail
A series of experiments in the field of THz-wave spectroscopy is described. The measurement of absorption spectra of solid… 
2006
2006
Workflow Clustering Method Based on Process Similarity
Process-centric information systems have been accumulating a mount of process models. Process designers continue to create new… 
Highly Cited
2003
Highly Cited
2003
TREC 2003 QA at BBN: Answering Definitional Questions
For definitional QA, we adopted a hybrid approach that combines several complementary technology components. Information… 
Highly Cited
2002
Highly Cited
2002
Bionic (Topological) Pattern Recognition——A New Model of Pattern Recognition Theory and Its Applications
A new model of pattern recognition principles,witch is based on "matter cognition"instead of "matter classification"in… 
1997
1997
Selection for individual traits in the early generations of a potato breeding program dedicated to producing cultivars with tubers having long shape and russet skin
Early generation selection in a potato breeding program involves visual assessment of economic worth based on appearance… 
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Review
1993
Review
1993
The usefulness of spatial pattern analysis in understanding the pathogenesis of neurodegenerative disorders, with particular reference to plaque formation in Alzheimer's disease
Discrete, microscopic lesions are developed in the brain in a number of neurodegenerative diseases. These lesions may not be… 
1990
1990
Correspondenceless Stereo and Motion: Planar Surfaces
It is shown that a binocular observer can recover the depth and three-dimensional motion of a rigid planar patch without using… 
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