This paper advocates the use of probabilistic linear discriminant analysis (PLDA) for partially open-set detection task with multiple i-vectors enrollment condition. Also referred to as speaker verification, the speaker detection task has always been considered under an open-set scenario. In this paper, a more general partially open-set speaker detection problem in considered, where the imposte...

abstract is not available.

Information on patient’s medication is often vital especially when patient’s condition is critical. However, the information does not yet move freely between different health care units and organizations. Before reaching the point of putting into practice any system that makes the interorganizational medication information transmission possible, some prerequisites and characteristics of the inf...

This paper describes the statistical machine translation system developed at ITC-irst for the evaluation campaign of the International Workshop on Spoken Language Translation 2005. The system exploits two search passes: the first pass is performed by a beam-search decoder which generates an n-best list of translations, the second by a simple re-scoring algorithm. The two passes apply log-linear...

concerning the population growth and urban development, significant growth in the rate of personal car usage has caused more transportation and thus growth in occupying the street areas for parking vehicles. this has caused much transporting problems and traffic. hence concerning the parking issue is crucial in traffic and municipal management.the important issue is the suitable place for the p...

this paper presents a comprehensive review of the works done, during the 2000–2012, in the application of data mining techniques in credit scoring. yet there isn’t any literature in the field of data mining applications in credit scoring. using a novel research approach, this paper investigates academic and systematic literature review and includes all of the journals in the science direct onli...

Confident peptide identification is one of the most important components in mass-spectrometry-based proteomics. We propose a method to properly combine the results from different database search methods to enhance the accuracy of peptide identifications. The database search methods included in our analysis are SEQUEST (v27 rev12), ProbID (v1.0), InsPecT (v20060505), Mascot (v2.1), X! Tandem (v2...

The effectiveness of database search algorithms, such as Mascot, Sequest and ProteinPilot is limited by the quality of the input spectra: spurious peaks in MS/MS spectra can jeopardize the correct identification of peptides or reduce their score significantly. Consequently, an efficient preprocessing of MS/MS spectra can increase the sensitivity of peptide identification at reduced file sizes a...