Titlebook: Recent Advances in Information and Communication Technology 2019; Proceedings of the 1 Pongsarun Boonyopakorn,Phayung Meesad,Herwig Unger C

Misgiving

DEFER

鈍劍

幼稚

盟軍

Integrate

機(jī)械

Feature Comparison for Automatic Bug Report Classificationpriate or confusing features. Therefore, this work aims to study and discover the most proper features for binary bug report classification. This study compares seven features such as unigram, bigram, camel case, unigram+bigram, unigram+camel case, bigram+ camel case, and all features together. The

VEN

A Novel Three Phase Approach for Single Sample Ear Recognitiondatasets viz. IIT Delhi and CP show the efficacy of the proposed approach. The proposed method achieves more than 70% and approximately 80% rank-1 recognition accuracy on IIT Delhi and CP databases respectively.

肉身

CURT