In this paper, we propose a consonant class discrimination (CCD) method in dysarthric speech, where a support vector machine (SVM) is employed by using class-dependent acoustic parameters. To this end, each consonant is categorized into one of five classes according to the manner of articulation such as stop, affricate, fricative, nasal and glide. In the proposed CCD method using SVM, acoustic ...

RESUME The discrimination between open water and sea ice, and/or between sub -classes of sea ice are challenges for SAR remote sensing. Compared to single channel SAR data, fully polarimetric data contain more physical information about the scattering processes, which can be used to increase the discrimination accuracy. Unsupervised polarimetric classification or segmentation approaches allow t...

Linear Discrimination Analysis (LDA) is a linear solution for classification of two classes. In this paper, we propose a variant LDA method for multi-class problem which redefines the between class and within class scatter matrices by incorporating a weight function into each of them. The aim is to separate classes as much as possible in a situation that one class is well separated from other c...

Population health research on racial discrimination is hampered by a paucity of psychometrically validated instruments that can be feasibly used in large-scale studies. We therefore sought to investigate the validity and reliability of a short self-report instrument, the "Experiences of Discrimination" (EOD) measure, based on a prior instrument used in the Coronary Artery Risk Development in Yo...

Recently, a discrimination measure for feature extraction for two-class data, called the maximum discriminating (MDF) measure (Talukder and Casasent [Neural Networks 14 (2001) 1201-1218]), was introduced. In the present paper, it is shown that the MDF discrimination measure produces exactly the same results as the classical Fisher criterion, on the condition that the two prior probabilities are...

In conventional approaches for multi-class pattern recognition using Support Vector Machines (SVMs), each class is discriminated against all the other classes to build an SVM for that class. We propose a close-class-set discrimination method suitable for large class set pattern recognition problems. An SVM is built for each of the 145 ConsonantVowel (CV) classes by discriminating that class aga...

Background: The aim of this study was to study the effect of discrimination and selfesteem on mental health among different acculturation strategies of Dutch-Moroccan adolescents. Method: By using Latent Class Analyses, subgroups with distinct acculturation strategies were established among Dutch-Moroccan youths (boys, N=203; girls, N= 201; mean age 12.7 ± 1.9). Differences among the acculturat...

A scheme for teleporting an unknown two-particle entangled state via W class states is proposed. In this scheme, the W class entangled states are considered as quantum channels. It is shown that by means of optimal discrimination between two nonorthogonal quantum states, probabilistic teleportation of the two-particle entangled state can be achieved. PACS: 03.67.Hk; 03.65.Bz

In order to assess the satellite data for soil investigation, ASTER digital data 20 June 2006, field study and phisiochemical properties of soil, were analyzed. All landcover classes including soils are classified based onmorphological and physico-chemical characteristics. Images were geocorrected and photomorphic units were selected based upon visual interpretation and sampling in study area. ...