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Oriol Pujol, & Petia Radeva. (2006). Optimal extension of Error Correcting Output Codes.
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F. Pla, Petia Radeva, & Jordi Vitria. (2006). Pattern Recognition: Progress, Directions and Applications.
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Juan Andrade, & F. Thomas. (2006). Wire-Based Tracking using Mutual Information.
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Fernando Vilariño, Panagiota Spyridonos, Jordi Vitria, Carolina Malagelada, & Petia Radeva. (2006). Linear Radial Patterns Characterization for Automatic Detection of Tonic Intestinal Contractions. In .F. Mart ́ınez-Trinidad et al (Ed.), 11th Iberoamerican Congress on Pattern Recognition (Vol. 4225, 178–187). LNCS. Berlin Heidelberg: Springer Verlag.
Abstract: This work tackles the categorization of general linear radial patterns by means of the valleys and ridges detection and the use of descriptors of directional information, which are provided by steerable filters in different regions of the image. We successfully apply our proposal in the specific case of automatic detection of tonic contractions in video capsule endoscopy, which represent a paradigmatic example of linear radial patterns.
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Fernando Vilariño, Panagiota Spyridonos, Jordi Vitria, Carolina Malagelada, & Petia Radeva. (2006). A Machine Learning framework using SOMs: Applications in the Intestinal Motility Assessment. In J.P. Martinez–Trinidad et al (Ed.), 11th Iberoamerican Congress on Pattern Recognition (Vol. 4225, 188–197). LNCS. Berlin-Heidelberg: Springer Verlag.
Abstract: Small Bowel Motility Assessment by means of Wireless Capsule Video Endoscopy constitutes a novel clinical methodology in which a capsule with a micro-camera attached to it is swallowed by the patient, emitting a RF signal which is recorded as a video of its trip throughout the gut. In order to overcome the main drawbacks associated with this technique -mainly related to the large amount of visualization time required-, our efforts have been focused on the development of a machine learning system, built up in sequential stages, which provides the specialists with the useful part of the video, rejecting those parts not valid for analysis. We successfully used Self Organized Maps in a general semi-supervised framework with the aim of tackling the different learning stages of our system. The analysis of the diverse types of images and the automatic detection of intestinal contractions is performed under the perspective of intestinal motility assessment in a clinical environment.
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Miquel Ferrer, Ernest Valveny, & F. Serratosa. (2006). Spectral Median Graphs Applied to Graphical Symbol Recognition. In 11th Iberoamerican Congress on Pattern Recognition (CIARP´06), J.P. Martinez–Trinidad et al. (Eds.), LNCS 4225: 774–783.
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Karla Lizbeth Caballero, Joel Barajas, Oriol Pujol, Neus Salvatella, & Petia Radeva. (2006). In-Vivo IVUS Tissue Classification: A Comparison Between RF Signal Analysis and Reconstructed Images. In 11th Iberoamerican Congress on Pattern Recognition (CIARP´06), LNCS 4225: 137–146.
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Michael Villamizar, A. Sanfeliu, & Juan Andrade. (2006). Orientation Invariant Features for Multiclass Object Recognition.
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Sergio Escalera, Oriol Pujol, & Petia Radeva. (2006). Decoding of Ternary Error Correcting Output Codes. In 11th Iberoamerican Congress on Pattern Recognition (CIARP´06), LNCS 4225: 753–763.
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R. Herault, Franck Davoine, Fadi Dornaika, & Y. Grandvalet. (2006). Simultaneous and robust face and facial action tracking.
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Fernando Vilariño, Panagiota Spyridonos, Jordi Vitria, Fernando Azpiroz, & Petia Radeva. (2006). Automatic Detection of Intestinal Juices in Wireless Capsule Video Endoscopy. In 18th International Conference on Pattern Recognition (Vol. 4, pp. 719–722).
Abstract: Wireless capsule video endoscopy is a novel and challenging clinical technique, whose major reported drawback relates to the high amount of time needed for video visualization. In this paper, we propose a method for the rejection of the parts of the video resulting not valid for analysis by means of automatic detection of intestinal juices. We applied Gabor filters for the characterization of the bubble-like shape of intestinal juices in fasting patients. Our method achieves a significant reduction in visualization time, with no relevant loss of valid frames. The proposed approach is easily extensible to other image analysis scenarios where the described pattern of bubbles can be found.
Keywords: Clinical diagnosis , Endoscopes , Fluids and secretions , Gabor filters , Hospitals , Image sequence analysis , Intestines , Lighting , Shape , Visualization
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Joan Mas, B. Lamiroy, Gemma Sanchez, & Josep Llados. (2006). Automatic Adjacency Grammar Generation from User Drawn Sketches.
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Oriol Ramos Terrades, Salvatore Tabbone, & Ernest Valveny. (2006). Combination of shape descriptors using an adaptation of boosting.
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Sergio Escalera, Oriol Pujol, & Petia Radeva. (2006). ECOC-ONE: A novel coding and decoding strategy.
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Sergio Escalera, Oriol Pujol, & Petia Radeva. (2006). Boosted Landmarks of Contextual Descriptors and Forest-ECOC: a novel framework to detect and classify objects in cluttered scenes.
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