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Author |
Pierluigi Casale; Oriol Pujol; Petia Radeva |
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Title |
Embedding Random Projections in Regularized Gradient Boosting Machines |
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Conference Article |
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Year |
2010 |
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Supervised and Unsupervised Ensemble Methods and their Applications in the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases |
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44–53 |
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Barcelona (Spain) |
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SUEMA |
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MILAB;HUPBA |
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no |
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BCNPCL @ bcnpcl @ CPR2010c |
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1466 |
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Author |
Pierluigi Casale; Oriol Pujol; Petia Radeva |
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Title |
Classyfing Agitation in Sedated ICU Patients |
Type |
Conference Article |
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Year |
2010 |
Publication |
Medical Image Computing in Catalunya: Graduate Student Workshop |
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19–20 |
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Agitation is a serious problem in sedated intensive care unit (ICU) patients. In this work, standard machine learning techniques working on wearable accelerometer data have been used to classifying agitation levels achieving very good classification performances. |
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Girona |
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MICCAT |
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MILAB;HUPBA |
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BCNPCL @ bcnpcl @ COR2010 |
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1467 |
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Author |
Angel Sappa (ed) |
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Title |
Computer Graphics and Imaging |
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Year |
2010 |
Publication |
Computer Graphics and Imaging |
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Angel Sappa |
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978–0–88986–836–6 |
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CGIM |
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ADAS @ adas @ Sap2010 |
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1468 |
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Author |
Jorge Bernal; F. Javier Sanchez; Fernando Vilariño |
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Title |
Reduction of Pattern Search Area in Colonoscopy Images by Merging Non-Informative Regions |
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Conference Article |
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Year |
2010 |
Publication |
28th Congreso Anual de la Sociedad Española de Ingeniería Biomédica |
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One of the first usual steps in pattern recognition schemas is image segmentation, in order to reduce the dimensionality of the problem and manage smaller quantity of data. In our case as we are pursuing real-time colon cancer polyp detection, this step is crucial. In this paper we present a non-informative region estimation algorithm that will let us discard some parts of the image where we will not expect to find colon cancer polyps. The performance of our approach will be measured in terms of both non-informative areas elimination and polyps’ areas preserving. The results obtained show the importance of having correct non- informative region estimation in order to fasten the whole recognition process. |
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Madrid (Spain) |
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800 |
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CASEIB |
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MV;SIAI |
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no |
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Call Number |
Admin @ si @ BSV2010 |
Serial |
1469 |
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Author |
Angel Sappa; M.A. Garcia |
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Title |
Aprendiendo a recrear la realidad en 3D |
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2007 |
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UAB Divulga, Revista de Divulgacion Cientifica |
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spreading |
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ADAS @ adas @ SaG2007c |
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1470 |
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Author |
Joan Serrat; Ferran Diego; Felipe Lumbreras |
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Title |
Los faros delanteros a traves del objetivo |
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Year |
2008 |
Publication |
UAB Divulga, Revista de divulgacion cientifica |
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ADAS |
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ADAS @ adas @ SDL2008b |
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1471 |
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Author |
Carme Julia; Angel Sappa; Felipe Lumbreras |
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Title |
Aprendiendo a recrear la realidad en 3D |
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2008 |
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UAB Divulga, Revista de divulgacion cientifica |
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spreading;ADAS |
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Call Number |
ADAS @ adas @ JSL2008b |
Serial |
1472 |
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Author |
David Geronimo; Antonio Lopez |
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Title |
Sistema de deteccion de peatones |
Type |
Miscellaneous |
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Year |
2010 |
Publication |
UAB Divulga |
Abbreviated Journal |
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Abstract |
Durante la próxima década, los sistemas de protección de peatones jugarán un papel fundamental en el reto de mejorar la seguridad viaria. El objetivo principal de estos sistemas, detectar peatones en entornos urbanos, implica procesar imágenes de escenas exteriores desde una plataforma móvil para buscar objetos de aspecto variable como son las personas. Dadas estas dificultades, estos sistemas hacen uso de las últimas técnicas de visión por computador. Esta propuesta consiste en un sistema de tres módulos basado tanto en información 2D como en 3D. El primer módulo utiliza información 3D para hacer una estimación de los parámetros de la carretera y seleccionar regiones de interés que serán analizadas después. El segundo módulo utiliza un clasificador de ventanas 2D para etiquetar las mencionadas regiones como peatón o no peatón. El módulo final vuelve a utilizar de nuevo la información 3D para verificar las regiones clasificadas y, con información 2D, refinar los resultados finales. Los resultados experimentales son positivos tanto en rendimiento como en tiempo de cómputo. |
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Bellaterra (Spain) |
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spreading;ADAS |
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no |
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Call Number |
ADAS @ adas @ GeL2010b |
Serial |
1473 |
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Author |
Antonio Hernandez; Carlo Gatta; Petia Radeva; Laura Igual; R. Letaz; Sergio Escalera |
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Title |
Automatic Vessel Segmentation For Angiography and CT Registration |
Type |
Conference Article |
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Year |
2010 |
Publication |
Medical Image Computing in Catalunya: Graduate Student Workshop |
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Volume |
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Pages |
1–2 |
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Girona |
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MICCAT |
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MILAB;HUPBA |
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BCNPCL @ bcnpcl @ HGR2010 |
Serial |
1474 |
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Author |
Michal Drozdzal; Laura Igual; Jordi Vitria; Petia Radeva; C. Malagelada; Fernando Azpiroz |
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Title |
SIFT flow-based Sequences Alignment |
Type |
Conference Article |
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Year |
2010 |
Publication |
Medical Image Computing in Catalunya: Graduate Student Workshop |
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7–8 |
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Girona, Spain |
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MICCAT |
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OR;MILAB;MV |
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BCNPCL @ bcnpcl @ DIV2010 |
Serial |
1475 |
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Author |
Miguel Reyes; Jordi Vitria; Petia Radeva; Sergio Escalera |
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Title |
Real-time Activity Monitoring of Inpatients |
Type |
Conference Article |
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Year |
2010 |
Publication |
Medical Image Computing in Catalunya: Graduate Student Workshop |
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Pages |
35–36 |
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In this paper, we present the development of an application capable of monitoring a set of patient vital signs in real time. The application has been designed to support the medical staff of a hospital. Preliminary results show the suitability
of the system to prevent the injury produced by the agitation of the patients. |
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Girona |
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MICCAT |
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OR;MILAB;HUPBA;MV |
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no |
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Call Number |
BCNPCL @ bcnpcl @ RVR2010 |
Serial |
1477 |
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Author |
Santiago Segui; Michal Drozdzal; Petia Radeva; Jordi Vitria |
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Title |
Severe Motility Diagnosis using WCE |
Type |
Conference Article |
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Year |
2010 |
Publication |
Medical Image Computing in Catalunya: Graduate Student Workshop |
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45–46 |
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Girona, Spain |
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MICCAT |
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OR;MILAB;MV |
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BCNPCL @ bcnpcl @ SDR2010 |
Serial |
1478 |
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Author |
Albert Gordo; Florent Perronnin |
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Title |
A Bag-of-Pages Approach to Unordered Multi-Page Document Classification |
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Conference Article |
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2010 |
Publication |
20th International Conference on Pattern Recognition |
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1920–1923 |
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We consider the problem of classifying documents containing multiple unordered pages. For this purpose, we propose a novel bag-of-pages document representation. To represent a document, one assigns every page to a prototype in a codebook of pages. This leads to a histogram representation which can then be fed to any discriminative classifier. We also consider several refinements over this initial approach. We show on two challenging datasets that the proposed approach significantly outperforms a baseline system. |
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Istanbul (Turkey) |
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1051-4651 |
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978-1-4244-7542-1 |
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ICPR |
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DAG |
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Admin @ si @ GoP2010 |
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1480 |
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Author |
Albert Andaluz; Francesc Carreras; Debora Gil; Jaume Garcia |
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Title |
Una aplicació amigable pel càlcul de indicadors clínics del ventricle esquerre |
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Miscellaneous |
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2010 |
Publication |
Forum Biocat 2010 |
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Lonja de Mar,Barcelona (Spain) |
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CVC |
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Biocat |
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Barcelona |
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Catalan |
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IAM |
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IAM @ iam @ ACG2010 |
Serial |
1483 |
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Author |
Jaume Garcia; Petia Radeva; Francesc Carreras |
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Title |
Combining Spectral and Active Shape methods to Track Tagged MRI |
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2004 |
Publication |
Recent Advances in Artificial Intelligence Research and Development |
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37-44 |
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MR; tagged MR; ASM; LV segmentation; motion estimation. |
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Tagged magnetic resonance is a very usefull and unique tool that provides a complete local and global knowledge of the left ventricle (LV) motion. In this article we introduce a method capable of tracking and segmenting the LV. Spectral methods are applied in order to obtain the so called HARP images which encode information about movement and are the base for LV point-tracking. For segmentation we use Active Shapes (ASM) that model LV shape variation in order to overcome possible local misplacements of the boundary. We finally show experiments on both synthetic and real data which appear to be very promising. |
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IOS Press |
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CCIA |
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IAM;MILAB |
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IAM @ iam @ GRC2004 |
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1488 |
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