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Fernando Vilariño A Machine Learning Approach for Intestinal Motility Assessment with Capsule Endoscopy 2006 PhD Thesis, Universitat Autonoma de Barcelona-CVC details   pdf openurl
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; C. Malagelada; Petia Radeva A Machine Learning framework using SOMs: Applications in the Intestinal Motility Assessment 2006 11th Iberoamerican Congress on Pattern Recognition 4225 188–197 details   pdf doi
A. Pujol; X. Varona; Joan Serrat A machine vision system for the inspection of industrial sieves. 1997 VII SNRFAI. details   openurl
Joaquin Salas; Wendy Avalos; Rafael Castañeda; Mario Maya A machine-vision system to measure the parameters describing the performance of a Foucault pendulum 2006 Machine Vision and Applications 17 133–138 details   openurl
Mariano Vazquez; Ruth Aris; Guillaume Hozeaux; R.Aubry; P.Villar;Jaume Garcia ; Debora Gil; Francesc Carreras A massively parallel computational electrophysiology model of the heart 2011 International Journal for Numerical Methods in Biomedical Engineering 27 1911-1929 details   pdf doi
F.X. Perez; F. Javier Sanchez; Xavier Binefa; Xavier Roca; Jordi Vitria; Juan J. Villanueva A mathematical morphology-based system for IC´s inspection and analysis. 1993 Institute of Physics Conferences Series 135 381–384 details   url
Gemma Sanchez; Josep Llados; K. Tombre A mean string algorithm to compute the average among a set of 2D shapes 2002 Pattern Recognition Letters 23 203–214 details   doi
Gemma Sanchez; Josep Llados; K. Tombre A mean string algorithm to compute the average among a set of 2D shapes 2000 CVC Technical Report #38 details   openurl
Olivier Penacchio; Xavier Otazu; Arnold J Wilkings; Sara M. Haigh A mechanistic account of visual discomfort 2023 Frontiers in Neuroscience 17 details   url
Sergio Vera; Miguel Angel Gonzalez Ballester; Debora Gil A medial map capturing the essential geometry of organs 2012 ISBI Workshop on Open Source Medical Image Analysis software 1691 - 1694 details   pdf doi
Francesco Ciompi; Oriol Pujol; Petia Radeva A meta-learning approach to Conditional Random Fields using Error-Correcting Output Codes 2010 20th International Conference on Pattern Recognition 710–713 details   doi
V. Valev; Petia Radeva A Method of Solving Pattern or image Recognition Problems by Learning Boolean Formulas. 1992 Proc. of 11th IAPR International Conference on Pattern Recognition, Hague, Netherlands, IEEE Computer Society Press, vol. II, pp. 359–362. details   openurl
Daniel Ponsa A model based pedestrian tracking review 2001 CVC Technical Report #69 details   openurl
Ernest Valveny; Enric Marti A model for image generation and symbol recognition through the deformation of lineal shapes 2003 Pattern Recognition Letters 24 2857-2867 details   pdf doi
Marçal Rusiñol A Model of Vectorial Signatures in Terms of Expressive Sub-Shapes: Symbol Indexation in Technical Documents 2006 CVC Technical Report #94 details   openurl
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