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Subject-specific Models for the Analysis of Pathological FDG PET Data
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In: In: Navab, N and Hornegger, J and Wells, WM and Frangi, AF, (eds.) Proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). (pp. pp. 651-658). Springer, Cham: Munich, Germany. (2015) (2015)
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Corrigendum: Levy, Mike and Steel, Caroline (2015) Language learner perspectives on the functionality and use of electronic language dictionaries. ReCALL, 27 2: 177-196. doi:10.1017/S095834401400038X
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Exploiting text and network context for geolocation of social media users
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Language learner perspectives on the functionality and use of electronic language dictionaries
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Hand pose recognition from monocular images by geometrical and texture analysis
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ezDI's Semantics-Enhanced Linguistic, NLP, and ML Approach for Health Informatics
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In: Kno.e.sis Publications (2015)
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Un éditeur de définitions formelles pour les connaissances lexicales de la théorie Sens-Texte
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In: IC - 25èmes Journées francophones d'Ingénierie des Connaissances ; https://hal.inria.fr/hal-00967537 ; IC - 25èmes Journées francophones d'Ingénierie des Connaissances, May 2014, Clermont-Ferrand, France. pp.279-281 (2014)
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A language-independent and fully unsupervised approach to lexicon induction and part-of-speech tagging for closely related languages
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In: Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-01022298 ; Language Resources and Evaluation Conference, European Language Resources Association, May 2014, Reykjavik, Iceland (2014)
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Semantic Annotations for Workflow Interoperability
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In: ISSN: 0350-5596 ; Informatica ; https://hal.inria.fr/hal-01111453 ; Informatica, Slovene Society Informatika, Ljubljana, 2014, 38 (4), pp.347-366 (2014)
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A quantitative approach to evolution of music and philosophy ...
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Gaussian Tree Constraints Applied to Acoustic Linguistic Functional Data ...
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Replicate immunosequencing as a robust probe of B cell repertoire diversity ...
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Testing for Efficacy in Single-Subject Trials with Intervention Analysis ...
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Using quality measures for multilevel speaker recognition
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Abstract:
This is the author’s version of a work that was accepted for publication in Computer Speech & Language. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computer Speech & Language, 20, 2-3, (2006) DOI:10.1016/j.csl.2005.08.004 ; The use of quality information for multilevel speaker recognition systems is addressed in this contribution. From a definition of what constitutes a quality measure, two applications are proposed at different phases of the recognition process: scoring and multilevel fusion stages. The traditional likelihood scoring stage is further developed providing guidelines for the practical application of the proposed ideas. Conventional user-independent multilevel support vector machine (SVM) score fusion is also adapted for the inclusion of quality information in the fusion process. In particular, quality measures meeting three different goodness criteria: SNR, F0 deviations and the ITU P.563 objective speech quality assessment are used in the speaker recognition process. Experiments carried out in the Switchboard-I database assess the benefits of the proposed quality-guided recognition approach for both the score computation and score fusion stages. ; This work has been supported by the Spanish Ministry for Science and Technology under projects TIC2003-09068-C02-01 and TIC2003-08382-C05-01.
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Keyword:
Artificial intelligence; Computer Applications; Computer science; Fundamental Frequency; Informática; Signal to Noise Ratio; Speaker Identification; Speech Synthesis; Telecomunicaciones; Verification; Voice Recognition
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URL: https://doi.org/10.1016/j.csl.2005.08.004 http://hdl.handle.net/10486/662151
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Computerized analysis of coronary artery disease: Performance evaluation of segmentation and tracking of coronary arteries in CT angiograms
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Models, Inference, and Implementation for Scalable Probabilistic Models of Text
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Extracting structured data from publications in the Art Conservation Domain
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