Face Recognition is a technique that can be used for verification and identification. The main objective is to maximize the accuracy and to minimize the complexity, time and error factors. The success of Face Recognition can be ensured by various techniques like ICA (Independent Component Analysis, PCA (Principle Component Analysis, MIS (Mirror Image Superposition), GF (Gaussian Filtering) and ...

The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each pha...

Speech denoising is very important in many applications where noise is unavoidable. The speech accuracy reduces strictly when the systems are operated in noisy environments. There are different Speech enhancement methods, a generalized form of Principal Component Analysis (PCA) is used for speech enhancement. A PCA based algorithm is proposed for denoising of speech degraded by noise interferen...

This paper proposed a method using principle component analysis based on graph entropy (PCA-GE) and J48 decision tree on electroencephalogram (EEG) signals to predict whether a person is alcoholic or not. Analysis is performed in two stages: feature extraction and classification. The principle component analysis (PCA) chooses the optimal subset of channels based on graph entropy technique and t...

background: in order to check the practicality of classification of universities of medical sciences (umss) based on their infrastructures, and scientific contributions, this study explored the most appropriate indicators to measure the size and productivity of umss. methods: in the first phase, we approached a group of experts who had a deep experience in the management of umss and in the mini...

background: the spread of urbanization in floodplains as well as increase of industrial and agricultural activities in river discharges may lead to water pollution by physical, chemical and biological pollutants. one of the major concerns in monitoring the water resources system is indentifying major quality parameters and determining a relationship between physical and chemical parameters. thi...

The goal of speech enhancement varies according to specific applications, such as to reduce listener fatigue, to boost the overall speech quality, to increase intelligibility, and to improve the performance of the voice communication device. This paper presents Multiscale principal component analysis (MSPCA) for denoising of single channel speech signal. Principle Component Analysis (PCA) is a ...

this paper presents a combination of data envelopment analysis (dea) and principal component analysis (pca) to reduce the dimensionality of data set. dea is known as effective tool for assessment and benchmarking. the weak point of dea, it is that the number of efficient dmus relies on the number of variables (inputs and outputs). for solving this, first, we do principal component analysis (pca...

In this paper, three baseline face recognition algorithms are evaluated on the CAS-PEAL-R1 face database which is publicly released from a large-scale Chinese face database: CAS-PEAL. The main objectives of the baseline evaluations are to 1) elementarily assess the difficulty of the database for face recognition algorithms, 2) provide an example evaluation protocol on the database, and 3) ident...