We test our model's generalization ability, its transfer ability to address car property classification issue and various image feature extractors' impact on our model.
The results indicate that with a combination of two morphological and four texture properties, classification levels attain 91 94% accuracy, depending on the type of classification model (LDA or KNN).
Four pedons from the alluvial plain of Drama (NE Greece) were investigated in order to provide detailed information on their morphology, chemical, physical and mineralogical properties, classification and genesis.
In addition, property based classifications such as vitamins, flavours and fragrances, drugs and FEMA compounds have been defined through lists of specific compounds.
This is a good property for classification.
Fundamental radiometric quantities, optical properties and classifications will be introduced to the reader, providing the framework of marine optics terminology needed throughout the book.
In this sense, this kind of linear supervised distance in SLLE is not a good property for classification since it will go to a great extent to decrease the discriminating power of the low-dimensional embedded data representations produced with SLLE.
This property enables classification trees, unlike logistic regression models, to be readily interpreted by people with little statistical knowledge.
Much of the following discussion relating to the purpose and properties of classifications was inspired by Ernst Mayr, one of the leading evolutionary biologists of the past century [ 1].
Chemical composition and internal structure together constitute the essence of a mineral and determine its physical properties; thus, classification should rely on both.
