In virtually all of the published RCM classification papers, refractory to preventives and refractory to abortives are the main criteria for labeling a patient as having refractory headache [2, 3].
Others argue that the multiplicity of the eyes and patterns in robotically logical but visually discordant structures are typical of an algorithm making sense of a command, supplementing their arguments with CNN image classification papers with previous, similar visual examples.
We also implement constellation model-based approach that uses the dense representation of scale-invariant feature transform (SIFT) features as presented in the work of Ma and Grimson (Edge-based rich representation for vehicle classification. Paper presented at the international conference on computer vision, 2006, pp. 1185 1192) with slight modification.
As a taxonomy is commonly regarded a hierarchical classification, this paper takes a top-down approach step-wise subdividing the set of data types into non-redundant partitions.
Based on feature mining and pattern classification, this paper presents a steganalysis technique against reversible data hiding by histogram modification of pixel differences scheme (HMPD).
For the objective of minimum error rate in the defect classification, this paper compares six wavelet transform-based classification methods, using different discriminative training approaches to the design of the feature extractor and classifier.
Using Eurostat's socio-economic objectives i.e. the Nomenclature for the Analysis and Comparison of Scientific Programmes and Budgets (NABS 2007 classification), this paper addresses the impact of the recent economic downturn on governments' science and technology (S&T) budgets across the 27 EU countries.
To improve the performance of multi-class classification, this paper proposes an improved approach, called multi-state-mapping (MSM) with SVM based on hierarchical architecture, which maps the data set with all classes into different feature spaces at the different states of the decomposition of a multi-class classification problem in terms of a binary tree architecture.
In order to simplify the design process and to avoid the problem of floor classification, this paper presents a methodology for predicting vibration response metrics due to pedestrian footfalls for any floor type having natural frequency in the range 1 20 Hz.
A major methodological limitation of this study is the data extraction protocol, because the classification of papers as positive and negative was not blind to the papers' discipline and methodology.
This methodology proved more robust than the classification of papers through the Medline MeSH key-words, which tend to include papers with only marginal interest for the field.
