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	Author	Oriol Pujol; Petia Radeva
	Title	Texture Segmentation by Statistic Deformable Models			Type	Journal
	Year	2003	Publication	International Journal of Image and Graphics (IJIG)	Abbreviated Journal
	Volume		Issue		Pages
	Keywords
	Abstract
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes	MILAB;HuPBA			Approved	no
	Call Number	BCNPCL @ bcnpcl @ PuR2003			Serial	432
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	Author	Oriol Pujol; Petia Radeva
	Title	Texture Segmentation by Statistical Deformable Models			Type	Journal
	Year	2004	Publication	International Journal of Image and Graphics	Abbreviated Journal	IJIG
	Volume	4	Issue	3	Pages	433-452
	Keywords	Texture segmentation, parametric active contours, statistic snakes
	Abstract	Deformable models have received much popularity due to their ability to include high-level knowledge on the application domain into low-level image processing. Still, most proposed active contour models do not sufficiently profit from the application information and they are too generalized, leading to non-optimal final results of segmentation, tracking or 3D reconstruction processes. In this paper we propose a new deformable model defined in a statistical framework to segment objects of natural scenes. We perform a supervised learning of local appearance of the textured objects and construct a feature space using a set of co-occurrence matrix measures. Linear Discriminant Analysis allows us to obtain an optimal reduced feature space where a mixture model is applied to construct a likelihood map. Instead of using a heuristic potential field, our active model is deformed on a regularized version of the likelihood map in order to segment objects characterized by the same texture pattern. Different tests on synthetic images, natural scene and medical images show the advantages of our statistic deformable model.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes	MILAB;HuPBA			Approved	no
	Call Number	BCNPCL @ bcnpcl @ PuR2004a			Serial	505
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	Author	Oriol Pujol; Petia Radeva
	Title	Solving Particularization with Supervised Clustering Competition Scheme			Type	Book Chapter
	Year	2005	Publication	Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3523: 11–18	Abbreviated Journal
	Volume		Issue		Pages
	Keywords
	Abstract
	Address	Estoril (Portugal)
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes	MILAB;HuPBA			Approved	no
	Call Number	BCNPCL @ bcnpcl @ PuR2005b			Serial	557
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	Author	Oriol Pujol; Petia Radeva
	Title	On the assessment of texture descriptors in intravascular ultrasound images: A boosting approach to a feasible plaque classification			Type	Book Chapter
	Year	2005	Publication	Plaque Imaging: Pixel to Molecular Level, IOS Press, J. Suri et al. (Eds.), 113: 276–299, ISBN: 1–58603–516–9	Abbreviated Journal
	Volume		Issue		Pages
	Keywords
	Abstract
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes	MILAB;HuPBA			Approved	no
	Call Number	BCNPCL @ bcnpcl @ PuR2005a			Serial	563
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	Author	Oriol Pujol; Petia Radeva
	Title	Optimal extension of Error Correcting Output Codes			Type	Miscellaneous
	Year	2006	Publication		Abbreviated Journal
	Volume		Issue		Pages
	Keywords
	Abstract
	Address	Perpignan (France)
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes	MILAB;HuPBA			Approved	no
	Call Number	BCNPCL @ bcnpcl @ EPR2006d			Serial	695
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	Author	Oriol Pujol; Petia Radeva; J. Mauri; E Fernandez-Nofrerias
	Title	Automatic segmentation of lumen in Intravascular Ultrasound Images: An evaluation of texture feature extractors.			Type	Miscellaneous
	Year	2002	Publication	Iberoamerican Conference on Artificial Intelligence IBERAMIA 2002, Springer Verlag	Abbreviated Journal
	Volume		Issue		Pages
	Keywords
	Abstract
	Address	Sevilla, Espanya
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes	MILAB;HuPBA			Approved	no
	Call Number	BCNPCL @ bcnpcl @ PRM2002			Serial	314
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	Author	Oriol Pujol; Petia Radeva; Jordi Vitria
	Title	Traffic sign recognition using an adaptive boosting multiclass framework			Type	Miscellaneous
	Year	2005	Publication	Workshop sobre Reconocimiento de Formas y Analisis de Imagenes (AERFAI), I Congreso Español de Informatica (CEDI´2005)	Abbreviated Journal
	Volume		Issue		Pages
	Keywords
	Abstract
	Address	Granada (Spain)
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes	OR;MILAB;HuPBA;MV			Approved	no
	Call Number	BCNPCL @ bcnpcl @ PRV2005			Serial	618
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	Author	Oriol Pujol; Petia Radeva; Jordi Vitria
	Title	Discriminant ECOC: A Heuristic Method for Application Dependent Design of Error Correcting Output Codes			Type	Journal
	Year	2006	Publication	IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(6): 1007–1012	Abbreviated Journal
	Volume		Issue		Pages
	Keywords
	Abstract
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes	OR;MILAB;HuPBA;MV			Approved	no
	Call Number	BCNPCL @ bcnpcl @ PRV2006a			Serial	646
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	Author	Oriol Pujol; Petia Radeva; Jordi Vitria; J. Mauri
	Title	Adaboost to Classify Plaque Appearance in IVUS Images			Type	Miscellaneous
	Year	2004	Publication	Progress in Pattern Recognition, Image Analysis and Applications, LNCS 3287:629–636	Abbreviated Journal
	Volume		Issue		Pages
	Keywords
	Abstract
	Address	Puebla (Mexico)
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes	OR;MILAB;HuPBA;MV			Approved	no
	Call Number	BCNPCL @ bcnpcl @ PRV2004			Serial	472
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	Author	Oriol Pujol; Sergio Escalera; Petia Radeva
	Title	An Incremental Node Embedding Technique for Error Correcting Output Codes			Type	Journal
	Year	2008	Publication	Pattern Recognition	Abbreviated Journal	PR
	Volume	41	Issue	2	Pages	713–725
	Keywords
	Abstract
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes	MILAB;HuPBA			Approved	no
	Call Number	BCNPCL @ bcnpcl @ PER2008			Serial	942
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	Author	Oriol Ramos Terrades
	Title	Descripcio i classificacio de simbols tecnics usant la transformada de crestetes			Type	Report
	Year	2003	Publication	CVC Technical Report #74	Abbreviated Journal
	Volume		Issue		Pages
	Keywords
	Abstract
	Address	CVC (UAB)
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes	DAG			Approved	no
	Call Number	DAG @ dag @ Ram2003			Serial	517
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	Author	Oriol Ramos Terrades
	Title	Linear Combination of Multiresolution Descriptors: Application to Graphics Recognition			Type	Book Whole
	Year	2006	Publication	PhD Thesis, Universitat Autonoma de Barcelona-CVC & Universite Nancy 2	Abbreviated Journal
	Volume		Issue		Pages
	Keywords
	Abstract
	Address
	Corporate Author				Thesis	Ph.D. thesis
	Publisher		Place of Publication		Editor	Salvatore Antoine Tabbone;Ernest Valveny
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes	DAG			Approved	no
	Call Number	DAG @ dag @ Ram2006			Serial	713
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	Author	Oriol Ramos Terrades; Albert Berenguel; Debora Gil
	Title	A flexible outlier detector based on a topology given by graph communities			Type	Miscellaneous
	Year	2020	Publication	Arxiv	Abbreviated Journal
	Volume		Issue		Pages
	Keywords
	Abstract	Outlier, or anomaly, detection is essential for optimal performance of machine learning methods and statistical predictive models. It is not just a technical step in a data cleaning process but a key topic in many fields such as fraudulent document detection, in medical applications and assisted diagnosis systems or detecting security threats. In contrast to population-based methods, neighborhood based local approaches are simple flexible methods that have the potential to perform well in small sample size unbalanced problems. However, a main concern of local approaches is the impact that the computation of each sample neighborhood has on the method performance. Most approaches use a distance in the feature space to define a single neighborhood that requires careful selection of several parameters. This work presents a local approach based on a local measure of the heterogeneity of sample labels in the feature space considered as a topological manifold. Topology is computed using the communities of a weighted graph codifying mutual nearest neighbors in the feature space. This way, we provide with a set of multiple neighborhoods able to describe the structure of complex spaces without parameter fine tuning. The extensive experiments on real-world data sets show that our approach overall outperforms, both, local and global strategies in multi and single view settings.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes	IAM; DAG; 600.139; 600.145; 600.140; 600.121			Approved	no
	Call Number	Admin @ si @ RBG2020			Serial	3475
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	Author	Oriol Ramos Terrades; Albert Berenguel; Debora Gil
	Title	A Flexible Outlier Detector Based on a Topology Given by Graph Communities			Type	Journal Article
	Year	2022	Publication	Big Data Research	Abbreviated Journal	BDR
	Volume	29	Issue		Pages	100332
	Keywords	Classification algorithms; Detection algorithms; Description of feature space local structure; Graph communities; Machine learning algorithms; Outlier detectors
	Abstract	Outlier detection is essential for optimal performance of machine learning methods and statistical predictive models. Their detection is especially determinant in small sample size unbalanced problems, since in such settings outliers become highly influential and significantly bias models. This particular experimental settings are usual in medical applications, like diagnosis of rare pathologies, outcome of experimental personalized treatments or pandemic emergencies. In contrast to population-based methods, neighborhood based local approaches compute an outlier score from the neighbors of each sample, are simple flexible methods that have the potential to perform well in small sample size unbalanced problems. A main concern of local approaches is the impact that the computation of each sample neighborhood has on the method performance. Most approaches use a distance in the feature space to define a single neighborhood that requires careful selection of several parameters, like the number of neighbors. This work presents a local approach based on a local measure of the heterogeneity of sample labels in the feature space considered as a topological manifold. Topology is computed using the communities of a weighted graph codifying mutual nearest neighbors in the feature space. This way, we provide with a set of multiple neighborhoods able to describe the structure of complex spaces without parameter fine tuning. The extensive experiments on real-world and synthetic data sets show that our approach outperforms, both, local and global strategies in multi and single view settings.
	Address	August 28, 2022
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes	DAG; IAM; 600.140; 600.121; 600.139; 600.145; 600.159			Approved	no
	Call Number	Admin @ si @ RBG2022a			Serial	3718
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	Author	Oriol Ramos Terrades; Alejandro Hector Toselli; Nicolas Serrano; Veronica Romero; Enrique Vidal; Alfons Juan
	Title	Interactive layout analysis and transcription systems for historic handwritten documents			Type	Conference Article
	Year	2010	Publication	10th ACM Symposium on Document Engineering	Abbreviated Journal
	Volume		Issue		Pages	219–222
	Keywords	Handwriting recognition; Interactive predictive processing; Partial supervision; Interactive layout analysis
	Abstract	The amount of digitized legacy documents has been rising dramatically over the last years due mainly to the increasing number of on-line digital libraries publishing this kind of documents, waiting to be classified and finally transcribed into a textual electronic format (such as ASCII or PDF). Nevertheless, most of the available fully-automatic applications addressing this task are far from being perfect and heavy and inefficient human intervention is often required to check and correct the results of such systems. In contrast, multimodal interactive-predictive approaches may allow the users to participate in the process helping the system to improve the overall performance. With this in mind, two sets of recent advances are introduced in this work: a novel interactive method for text block detection and two multimodal interactive handwritten text transcription systems which use active learning and interactive-predictive technologies in the recognition process.
	Address	Manchester, United Kingdom
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference	ACM
	Notes	DAG			Approved	no
	Call Number	Admin @ si @RTS2010			Serial	1857
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