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Graphs for Pattern Recognition : Infeasible Systems of Linear Inequalities
This monograph deals with mathematical constructions that are foundational in such an important area of data mining as pattern recognition. By using combinatorial and graph theoretic techniques, a closer look is taken at ...
Supervised Pattern Recognition
(Wiley, 2018-12)
Supervised Pattern Recognition
(Wiley, 2018-12)
Unilateral Jaccard similarity coefficient
(CEUR-WS, 2015)
Similarity measures are essential to solve many pattern recognition problems such as classification, clustering, and retrieval problems. Various similarity measures are categorized in both syntactic and semantic relationships. ...
Parkinson's disease identification through Optimum-Path Forest
(2010-12-01)
Artificial intelligence techniques have been extensively used for the identification of several disorders related with the voice signal analysis, such as Parkinson's disease (PD). However, some of these techniques flaw by ...
Automatic classification of fish germ cells through optimum-path forest
(2011-12-26)
The spermatogenesis is crucial to the species reproduction, and its monitoring may shed light over some important information of such process. Thus, the germ cells quantification can provide useful tools to improve the ...
Parkinson's disease identification through Optimum-Path Forest
(2010-12-01)
Artificial intelligence techniques have been extensively used for the identification of several disorders related with the voice signal analysis, such as Parkinson's disease (PD). However, some of these techniques flaw by ...