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Petia Radeva, M. Bressan, A. Tovar, & Jordi Vitria. (2002). Bayesian Classification for Inspection of Industrial Products..
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Petia Radeva, M. Bressan, A. Tovar, & Jordi Vitria. (2002). Real-Time Inspection of cork stoppers using parametric methods in high dimensional spaces..
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Petia Radeva, M. Bressan, A. Tovar, & Jordi Vitria. (2002). Bayesian Classification for Inspection of Industrial Products..
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X. Binefa, J.M. Sanchez, Petia Radeva, & Jordi Vitria. (2000). Linking Visual Cues and Semantic Terms Under Specific Digital Video Domains..
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Petia Radeva, & Jordi Vitria. (2003). “Inteligencia artificial” Centre de Visio per Computador.
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Petia Radeva, & Jordi Vitria. (2001). Region-Based Approach for Discriminant Snakes.
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Petia Radeva, & Jordi Vitria. (2004). Discriminant Projections Embedding for Nearest Neighbor Classification.
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Jordi Vitria, Petia Radeva, & I. Aguilo. (2004). Recent Advances in Artificial Intelligence Research and Development. In Frontiers in Artificial Intelligence and Applications, 113, J. Vitria, P. Radeva, I. Aguilo (Eds.), ISBN: 1–58603–466–9.
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Petia Radeva, & Jordi Vitria. (2004). Corkinspect: Statistical Learning of Natural Material. Italian Beverage Technology, 13(38):11–18.
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Jordi Vitria, M. Bressan, & Petia Radeva. (2006). Bayesian classification of cork stoppers using class-conditional independent component analysis. IEEE Transactions on Systems, Man and Cybernetics (Part C), 36(6).
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F. Pla, Petia Radeva, & Jordi Vitria. (2006). Pattern Recognition: Progress, Directions and Applications.
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Jordi Vitria, M. Bressan, & Petia Radeva. (2007). Bayesian classification of cork stoppers using class-conditional independent component analysis. IEEE Transactions on Systems, Man and Cybernetics (Part C), 37(1): 32–38 (ISI 0,482).
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Laura Igual, Santiago Segui, Jordi Vitria, Fernando Azpiroz, & Petia Radeva. (2007). Eigenmotion-Based Detection of Intestinal Contractions. In Computer Analysis of Images and Patterns, 12th International Conference (Vol. 4673, 293–300). LNCS.
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Santiago Segui, Laura Igual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, & Jordi Vitria. (2007). A Semi-Supervised Learning Method for Motility Disease Diagnostic. In Progress in Pattern Recognition, Image Analysis and Applications, 12th Iberoamerican Congress on Pattern (CIARP 2007), LCNS 4756:773–782, ISBN 978–3–540–76724–4.
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F. Pla, Petia Radeva, & Jordi Vitria. (2008). Non-parametric distance-based classification techniques and their applications. Pattern Analysis and Applications, Special Issue: Non–Parametric Distance–Based Classification Techniques and Their Applications, 223–225.
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