Skip to search formSkip to main contentSkip to account menu

Multifactor dimensionality reduction

Known as: MDR 
Multifactor dimensionality reduction (MDR) is a data mining approach for detecting and characterizing combinations of attributes or independent… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
The conventional structured illumination micro-scopy (SIM) reconstructs the surface through determining the focal position from… 
2019
2019
Facial actions are spatio-temporal signals by nature, and therefore their modeling is crucially dependent on the availability of… 
2017
2017
Providing secure communication in different environments is very vital in an adhoc network. One of the important security threats… 
2017
2017
Local descriptors play a vital role in face analysis. This paper proposes a modified dimensionality reduced local directional… 
2017
2017
To deal with the cost sensitive and semi-supervised learning problems in Multi-view Dimensionality Reduction (MDR), we propose a… 
2016
2016
In the field of contact mechanics of elastic bodies many analytic solutions are well established. In contrast to this only the… 
2015
2015
Recently the method of dimensionality reduction (MDR) has been introduced to solve axisymmetric contact problems easily and… 
2013
2013
Based on the line integral (LI) and maximum difference reduction (MDR) methods, an automated iterative forward modelling scheme… 
2005
2005
As a mean to map ontology concepts, a similarity technique is employed. Especially a context dependent concept mapping is tackled… 
2004
2004
XML and metadata are used to represent the syntax, structure and semantic of information resources. But, various metadata sets…