We propose an efficient skin region segmentation methodology using low complexity fuzzy
decision tree constructed over B, G, R colour space. Skin and nonskin training dataset has …

Granular computing is a computational paradigm that mimics human cognition in terms of
grouping similar information together. Compatibility operators such as cardinality …

In this paper we developed a set of ensemble classifiers using simple majority voting
scheme. As part of the ensemble, we used seven classifiers viz., ANFIS, SVM, Linear RBF …

Fuzzy decision trees are powerful, top-down, hierarchical search methodology to extract
human interpretable classification rules. However, they are often criticized to result in poor …

Deep Neural Networks (DNNs) became the standard tool for function approximation with
most of the introduced architectures being developed for high-dimensional input data …

In the highly competitive marketplace, consumer acceptability has become an important
factor in the product design process. However, manufacturers and designers often …

Fuzzy decision tree (FDT) induction is a powerful methodology to extract human
interpretable classification rules. Due to the greedy nature of FDT, there is a chance of FDT …

Fuzzy decision tree (FDT) is a powerful top-down, hierarchical search methodology to
extract human interpretable classification rules. The performance of FDT depends on initial …

Fuzzy decision trees (FDT) are one of the most popular choices for learning and reasoning
from dataset. They have undergone a number of alterations to language and measurement …

In this paper, we propose a framework of general genre (eg, action, comedy, drama,
documentary, musical, etc...) movie video abstraction scheme for embedded devices based …