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Cristina Cañero, Petia Radeva, Ricardo Toledo, Juan J. Villanueva, & J. Mauri. (2000). 3D Curve Reconstruction by Biplane Snakes..
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David Guillamet, & Jordi Vitria. (2000). Local Discriminant Regions Using Support Vector Machines for Object Recognition..
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Robert Benavente, Ramon Baldrich, M.C. Olive, & Maria Vanrell. (2000). Colour Naming Considering the Colour Variability Problem..
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X. Varona, Jordi Gonzalez, Xavier Roca, & Juan J. Villanueva. (2000). Automatic Selection of Keyframes for Activity Recognition..
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M.J. Yzuel, J. Pladellorens, Joan Serrat, & A. Dupuy. (1993). Application restauration and edge detection techniques in the calculation of left ventricular volumes. In Optics in Medicine, Biology and Environmental Research : Selected contributions to the first International Conference on Optics within Life Sciences (OWLS I) (pp. 374–375). Elsevier.
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Xavier Roca, Jordi Vitria, Maria Vanrell, & Juan J. Villanueva. (2000). Visual behaviours for binocular navigation with autonomous systems..
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Xavier Roca, X. Binefa, & Jordi Vitria. (1993). Multiscale Structure Extraction using Morphological Tools. Applications to Edge Detection and to Depth Perception..
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Jordi Vitria, X. Binefa, & Juan J. Villanueva. (1992). Morphological Algorithms for Visual Analysis of Integrated Circuits..
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Y. Luo, Francisco Jose Perales, & Juan J. Villanueva. (1992). An automatic Rotoscopy System for Human Motion Based on a Biomedical Graphical Model..
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X. Binefa, Jordi Vitria, & Juan J. Villanueva. (1992). Three dimensional inspection of integrated circuits: a depth from focus approach..
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V. Valev, & Petia Radeva. (1992). Determining structural descriptions by boolean formulas advances in structural and syntactic Pattern Recognition..
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N. Pares, & J.R. Serra. (1992). Tailleur: El problema del sastre..
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V. Valev, & Petia Radeva. (1992). A Method of Solving Pattern or image Recognition Problems by Learning Boolean Formulas..
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V. Valev, & Petia Radeva. (1992). Determining Structural Description by Boolean Formulas. In H. Bunke (Ed.), Advances in Structural and Syntactic Pattern Recognition (Vol. 5, 131–140). Machine Perception and Artificial Intelligence:. World Scientific.
Abstract: Pattern recognition is an active area of research with many applications, some of which have reached commercial maturity. Structural and syntactic methods are very powerful. They are based on symbolic data structures together with matching, parsing, and reasoning procedures that are able to infer interpretations of complex input patterns.
This book gives an overview of the latest developments and achievements in the field.
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X. Binefa, Jordi Vitria, & Maria Vanrell. (1992). Reconstruccion tridimensional de imagenes Microscopicas..
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