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Toplam kayıt 30, listelenen: 1-10
Feature extraction from discrete attributes
(IEEE, 2010)
In many pattern recognition applications, first decision trees are used due to their simplicity and easily interpretable nature. In this paper, we extract new features by combining k discrete attributes, where for each ...
On the extraction of the channel allocation information in spectrum pooling systems
(IEEE, 2007-04)
The spectrum pooling strategy allows a license owner to share a part of his licensed spectrum with a secondary wireless system (the rental system, RS) during its idle times. The coexistence of two mobile systems on the ...
İmge kodlaması için dalgacık paketlerinde küresel gösterim
(IEEE, 2008-09-26)
Bu bildiride, dalgacık dönüşümü için geliştirdiğimiz
küresel kodlama algoritmasının dalgacık paketlerine
uyarlanması sunulmuştur. Bu kodlayıcıda yerel katsayı enerjisi, dalgacık altbantlarında varolan uzamsal bilgiyi ...
Generative and discriminative methods using morphological information for sentence segmentation of Turkish
(IEEE-INST Electrical Electronics Engineers Inc, 2009-07)
This paper presents novel methods for generative, discriminative, and hybrid sequence classification for segmentation of Turkish word sequences into sentences. In the literature, this task is generally solved using statistical ...
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, ...
Object recognition with competitive convolutional neural networks
(Işık Üniversitesi, 2023-06-12)
In recent years, Artificial Intelligence (AI) has achieved impressive results, often surpassing human capabilities in tasks involving language comprehension and visual recognition. Among these, computer vision has experienced ...
Feature extraction in shape recognition using segmentation of the boundary curve
(Elsevier Science BV, 1997-10)
We present a new method for feature extraction of two-dimensional shape information based on segmentation of the boundary curve. This approach partitions closed shapes into segments and finds their angular spans. The number ...
Unsupervised textile defect detection using convolutional neural networks
(Elsevier Ltd, 2021-12)
In this study, we propose a novel motif-based approach for unsupervised textile anomaly detection that combines the benefits of traditional convolutional neural networks with those of an unsupervised learning paradigm. It ...
Generation of optimum signature base sequences for speech signals
(IEEE, 2000)
In our previous publications [1-6], we proposed a novel method to represent signals in terms of, so called, "Signature Base Functions-SBF' which were extracted from the physical features of the waveform under consideration. ...
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 ...