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Toplam kayıt 12, listelenen: 1-10
Robust localization and identification of African clawed frogs in digital images
(Elsevier Science BV, 2014-09)
We study the automatic localization and identification of African clawed frogs (Xenopus laevis sp.) in digital images taken in a laboratory environment. We propose a novel and stable frog body localization and skin pattern ...
MIMO sinyalleri için uzay-zaman blok kodu klasifikasyonu
(IEEE, 2014-04-26)
Bilinmeyen haberleşme sinyallerinin gözü kapalı
ve işbirliksiz tanınması için geliştirilen teknikler, hem askeri hem de sivil uygulamalarda kullanım bulmuştur. Çok Girdili Çok Çıktılı (MIMO) haberleşme sistemleri, sinyal ...
Model selection in omnivariate decision trees using Structural Risk Minimization
(Elsevier Science Inc, 2011-12-01)
As opposed to trees that use a single type of decision node, an omnivariate decision tree contains nodes of different types. We propose to use Structural Risk Minimization (SRM) to choose between node types in omnivariate ...
Design and analysis of classifier learning experiments in bioinformatics: survey and case studies
(IEEE Computer Soc, 2012-12)
In many bioinformatics applications, it is important to assess and compare the performances of algorithms trained from data, to be able to draw conclusions unaffected by chance and are therefore significant. Both the design ...
Hierarchical quantization indexing for wavelet and wavelet packet image coding
(Elsevier Science BV, 2010-02)
In this paper, we introduce the quantization index hierarchy, which is used for efficient coding of quantized wavelet and wavelet packet coefficients. A hierarchical classification map is defined in each wavelet subband, ...
Tree Ensembles on the induced discrete space
(Institute of Electrical and Electronics Engineers Inc., 2016-05)
Decision trees are widely used predictive models in machine learning. Recently, K-tree is proposed, where the original discrete feature space is expanded by generating all orderings of values of k discrete attributes and ...
Searching for the optimal ordering of classes in rule induction
(IEEE, 2012-11-15)
Rule induction algorithms such as Ripper, solve a K > 2 class problem by converting it into a sequence of K - 1 two-class problems. As a usual heuristic, the classes are fed into the algorithm in the order of increasing ...
Biometric identification using fingertip electrocardiogram signals
(Springer London Ltd, 2018-07)
In this research work, we present a newly fingertip electrocardiogram (ECG) data acquisition device capable of recording the lead-1 ECG signal through the right- and left-hand thumb fingers. The proposed device is ...
VİSKON-RS : Uzaktan algılama ile hızlı afet hasar analiz yazılımı
(IEEE, 2015-06-19)
Afet sonrası, acil müdahale ekiplerinin yönlendirilmesi ve iyileştirme çalışmalarının planlanması amacıyla hızlı hasar değerlendirmesine ihtiyaç duyulmaktadır. Bu çalışmada, AFAD ihtiyaçları doğrultusunda uzaktan (uzay/hava) ...
Malaria parasite detection with deep transfer learning
(IEEE, 2018-12-06)
This study aims to automatically detect malaria parasites (Plasmodium sp) on images taken from Giemsa stained blood smears. Deep learning methods provide limited performance when sample size is low. In transfer learning, ...