Face recognition is still an active pattern analysis topic. Faces have already been treated as objects or textures, but human face recognition system takes a different approach in face recognition. People refer to faces by their most discriminant features. People usually describe faces in sentences like ``She's snub-nosed'' or ``he's got long nose'' or ``he's got round eyes'' and so like. These...

In this paper, we are interested in explaining datasets used supervised classification problems by identifying the features that most predictive and discriminant of class. We first propose a definition based on impact performance models. then an approach to using multicriteria decision making. Finally, present discuss experiment public dataset illustrating potential approach.

1. student research committee, urmia university of medical sciences, urmia, iran 2. dept. of medical physics, faculty of medicine, urmia university of medical sciences, urmia, iran 3. dept. of radiology, faculty of medicine, imam khomeini hospital, urmia university of medical sciences, urmia, iran                             corresponding author: akbar gharbali, phd; assistant professor of medi...

In this paper a novel approach to performing classification is presented. Hypersurface Discriminant functions are evolved using Genetic Programming. These discriminant functions reside in the states of a Finite State Automata, which has the ability to reason1 and logically combine the hypersurfaces to generate a complex decision space. An object may be classified by one or many of the discrimin...

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...

An increase in accuracy and reduction in computational complexity of the common wavelet-based target recognition techniques can be achieved by using interpretable features for recognition. In this work, the Best Discrimination Basis Algorithm (BDBA) is applied to select the most discriminant complete orthonormal wavelet basis for recognition purposes. The BDBA uses a relative entropy criterion ...

Feature selection has been proven to be efficient in preparing high dimensional data for data mining and machine learning. As most data is unlabeled, unsupervised feature selection has attracted more and more attention in recent years. Discriminant analysis has been proven to be a powerful technique to select discriminative features for supervised feature selection. To apply discriminant analys...

The extraction of discriminant features is the most fundamental and important problem in face recognition. This paper presents a method to extract optimal discriminant features for face images by using the uncorrelated discriminant transformation andKL expansion. Experiments on the ORL database and the NUST603 database have been performed. Experimental results show that the uncorrelated discrim...

In this paper, we present the algorithm designed for mining emotional features of movies. The algorithm dubbed Arousal-Valence Discriminant Preserving Embedding (AVDPE) is proposed to extract the intrinsic features embedded in movies that are essentially differentiating in both arousal and valence directions. After dimensionality reduction, we use the neural network and support vector regressor...

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...