Zobrazeno 1 - 10
of 10
pro vyhledávání: '"M. Hussain"'
Publikováno v:
Volume: 24, Issue: 5 3371-3387
Turkish Journal of Electrical Engineering and Computer Science
Turkish Journal of Electrical Engineering and Computer Science
The support vector machine (SVM) is one of the highly powerful classifiers that have been shown to be capable of dealing with high-dimensional data. However, its complexity increases requirements of computational power. Recent technologies including
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecb74ad7e1dc537fd118ed8e7a07afac
https://dergipark.org.tr/tr/pub/tbtkelektrik/issue/35741/398940
https://dergipark.org.tr/tr/pub/tbtkelektrik/issue/35741/398940
Publikováno v:
EMBC
Bioinformatics data tend to be highly dimensional in nature thus impose significant computational demands. To resolve limitations of conventional computing methods, several alternative high performance computing solutions have been proposed by scient
Publikováno v:
Advances in Electrical and Computer Engineering, Vol 9, Iss 3, Pp 63-67 (2009)
Facial expression recognition has numerous applications, including psychological research, improved human computer interaction, and sign language translation. A novel facial expression recognition system based on hybrid face regions (HFR) is investig
Publikováno v:
EMBC
Classifying Microarray data, which are of high dimensional nature, requires high computational power. Support Vector Machines-based classifier (SVM) is among the most common and successful classifiers used in the analysis of Microarray data but also
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9b74a251f0b587f2d93f8df016cda7f
Publikováno v:
FPL
Classification of highly dimensional Microarray data using K-nearest neighbour (K-NN) is a time-consuming task when implemented on general purpose processors (GPPs), and such it can benefit greatly from a parallel hardware implementation. In this wor
Publikováno v:
AHS
K-nearest neighbour (KNN) is a supervised classification technique that is widely used in many fields of study to classify unknown queries based on some known information about the dataset. KNN is known to be robust and simple to implement when deali
Publikováno v:
AHS
The Microarray is a technique used by biologists to perform many genome experiments simultaneously, which produces very large datasets. Analysis of these datasets is a challenge for scientists especially as the number of genome databases is increasin
Publikováno v:
DICTA
A new feature selection approach is proposed for facial expression recognition system. The features are extracted using Gabor filters from Grey-scale images for characterizing facial texture. Then, an adaptive filter selection (AFS) algorithm is appl
Publikováno v:
2009 International Conference on Advanced Technologies for Communications.
Facial expression recognition (FER) is an important task in human- computer interaction systems to include emotion processing. In this work we present the recognition of facial expressions in OFDM systems. The original image is converted to binary co
Publikováno v:
2006 IEEE International Conference on Electro/Information Technology.
Parallel architecture for fast and efficient visual and thermal face recognition fusion biometric system is presented in this paper. Almost all the decision fusion techniques, in the literature, are computationally expensive. Gabor filter technique i