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Toplam kayıt 20, listelenen: 1-10
SWCD: a sliding window and self-regulated learning-based background updating method for change detection in videos
(Is&T & Spie, 2018)
Change detection with background subtraction process remains to be an unresolved issue and attracts research interest due to challenges encountered on static and dynamic scenes. The key challenge is about how to update ...
Automated categorization scheme for digital libraries in distance learning: A pattern recognition approach
(2008)
Digital libraries play a crucial role in distance learning. Nowadays, they are one of the fundamental information sources for the students enrolled in this learning system. These libraries contain huge amount of instructional ...
A survey on ECG analysis
(Elsevier Sci LTD, 2018)
The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the heart. In the literature, the ECG signal has been analyzed and utilized for various purposes, such as measuring the heart rate, ...
The Impact of Feature Extraction and Selection on SMS Spam Filtering
(Kaunas University Technology, 2013)
This paper investigates the impact of several feature extraction and feature selection approaches on filtering of short message service (SMS) spam messages in two different languages, namely Turkish and English. The entire ...
A computational morphological lexicon for Turkish: TrLex
(Elsevier Science BV, 2018)
A morphological lexicon that is a computational source should be considered together with derivational morphology especially for agglutinative languages. To the best of our knowledge, in the Turkish language there has been ...
A Multi-Criteria Decision Strategy to Select a Machine Learning Method for Indoor Positioning System
(World Scientific Publ Co Pte LTD, 2018)
Indoor positioning system is an active research area. There are various performance metrics such as accuracy, computation time, precision, and f-score in machine learning based indoor positioning systems. The aim of this ...
On circular traffic sign detection and recognition
(Pergamon-Elsevier Science LTD, 2016)
Automatic traffic sign detection and recognition play crucial roles in several expert systems such as driver assistance and autonomous driving systems. In this work, novel approaches for circular traffic sign detection and ...
Subspace based feature selection for pattern recognition
(Elsevier Science Inc, 2008)
Feature selection is an essential topic in the field of pattern recognition. The feature selection strategy has a direct influence on the accuracy and processing time of pattern recognition applications. Features can be ...
A novel probabilistic feature selection method for text classification
(Elsevier Science BV, 2012)
High dimensionality of the feature space is one of the most important concerns in text classification problems due to processing time and accuracy considerations. Selection of distinctive features is therefore essential ...
Hybrid feature selection for text classification
(Tubitak Scientific & Technical Research Council Turkey, 2012)
Feature selection is vital in the field of pattern classification due to accuracy and processing time considerations. The selection of proper features is of greater importance when the initial feature set is considerably ...