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Toplam kayıt 7, listelenen: 1-7
Feature selection in facial expression analysis and its effect on multi-SVM classifiers
(Gazi Univ, Fac Engineering Architecture, 2009)
Facial expressions are non-verbal signs that play important role to provide complete meaning in human communication. While humans can easily comprehend the facial expressions, it is not valid for the computers, thus the ...
The Effect of Dictionary Learning Algorithms on Super-resolution Hyperspectral Reconstruction
(Ieee, 2015)
The spatial resolutions of hyperspectral images are generally lower due to imaging hardware limitations. Super-resolution algorithms can be applied to obtain higher resolutions. Many algorithms exist to achieve super-resolution ...
Sparse Representation-based Dictionary Learning Methods for Hyperspectral Super-Resolution
(Ieee, 2016)
Due to hardware limitations, hyperspectral imagery has low spatial resolution. It can be obtained super-resolution hyperspectral imagery by means of sparse representation-based methods that are designed for improving spatial ...
Yüz ifade analizinde öznitelik seçimi ve çoklu SVM sınıflandırıcılarına etkisi
(2009)
Yüz ifadeleri, insan ilişkilerinde anlam bütünlüğünün sağlanması için büyük rol oynayan, sözlü olmayan işaretlerdir. İnsanoğlu yüz ifadelerini kavramada herhangi bir zorluk çekmezken, bu durum makineler için geçerli olmayıp, ...
Automatic Detection and Classification of Non Metallic Inclusions in Steel via Image Processing
(Ieee, 2014)
Non-metallic chemical components (silicate, sulfide, alumina, globular oxide) originated from production process cause inclusions in steel. These inclusions are one of the important factors that directly affect quality of ...
A video-based eye pupil detection system for diagnosing bipolar disorder
(Tubitak Scientific & Technical Research Council Turkey, 2013)
Eye pupil detection systems have become increasingly popular in image processing and computer vision applications in medical systems. In this study, a video-based eye pupil detection system is developed for diagnosing ...
Feature Selection for Multi-SVM Classifiers in Facial Expression Classification
(Ieee, 2008)
Facial expressions are non-verbal signs that play an important role between interpersonal communications and also they are the most effective way to describe human emotions. The correct and fast extraction/recognition of ...