| Records |
| Author |
Xavier Baro; Jordi Vitria |
| Title |
Feature Selection with Non-Parametric Mutual Information for Adaboost Learning |
Type |
Book Chapter |
Year  |
2005 |
Publication |
Frontiers in Artificial Intelligence and Applications / Artificial intelligence Research and Development, 131:131–138, Eds: B. Lopez, J. Melendez, P. Radeva, J. Vitria, IOS Press, ISBN: 1–58603–560–6 |
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OR;HuPBA;MV |
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no |
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BCNPCL @ bcnpcl @ BaV2005b |
Serial |
583 |
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| Author |
Franck Davoine; Fadi Dornaika |
| Title |
Head and facial animation tracking using appearance-adaptive models and particle filters |
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Book Chapter |
| Year |
2005 |
Publication |
V. Pavlovic and T.S. Huang (editors), Real–Time Vision for Human–Computer Interaction |
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Springer-Verlag |
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no |
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Admin @ si @ DaD2005 |
Serial |
599 |
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| Author |
J. Elder; Fadi Dornaika; Y. Hou; R. Goldstein |
| Title |
Attentive wide-field sensing for visual telepresence and surveillance |
Type |
Book Chapter |
| Year |
2005 |
Publication |
L. Itti, G. Rees and J. Tsotsos (editors), Neurobiology of Attention, Academic Press / Elsevier |
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no |
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Admin @ si @ EDH2005 |
Serial |
604 |
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| Author |
Agata Lapedriza; Jordi Vitria |
| Title |
Experimental Study of the Usefulness of External Face Features for Face Classification |
Type |
Book Chapter |
| Year |
2005 |
Publication |
Artificial Intelligence Research and Development, IOS Press, 99–106 |
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Amsterdam |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ LaV2005 |
Serial |
610 |
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| Author |
Bogdan Raducanu; Jordi Vitria |
| Title |
Real-Time Face Tracking for Context-Aware Computing |
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Book Chapter |
| Year |
2005 |
Publication |
Artificial Intelligence Research and Development, IOS Press, 91–98 |
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Amsterdam |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ RaV2005b |
Serial |
616 |
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| Author |
Quan-sen Sun; Pheng-ann Heng; Zhong Jin; De-shen Xia |
| Title |
Face recognition based on generalized canonical correlation analysis |
Type |
Book Chapter |
| Year |
2005 |
Publication |
Advances in Intelligent Computing, Lecture Notes in Computer Science, 3645: 958–967 |
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Hefei (China) |
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no |
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Admin @ si @ SHJ2005 |
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625 |
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| Author |
Quan-sen Sun; Zhong Jin; Pheng-ann Heng; De-shen Xia |
| Title |
A novel feature fusion method based on partial least squares regression |
Type |
Book Chapter |
| Year |
2005 |
Publication |
Pattern Recognition and Data Mining, Lecture Notes in Computer Science, 3686: 268–277 |
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Bath (United Kingdom) |
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no |
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Admin @ si @ SJH2005 |
Serial |
626 |
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| Author |
Miquel Ferrer; F. Serratosa; A. Sanfeliu |
| Title |
Synthesis of median spectral graph |
Type |
Book Chapter |
| Year |
2005 |
Publication |
Pattern Recognition and Image Analysis (IbPRIA´05), LNCS, 3523: 139 146 |
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Estoril (Portugal) |
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no |
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Admin @ si @ FSS2005 |
Serial |
656 |
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| Author |
Misael Rosales; Petia Radeva; Oriol Rodriguez; Debora Gil |
| Title |
Suppression of IVUS Image Rotation. A Kinematic Approach |
Type |
Book Chapter |
| Year |
2005 |
Publication |
Functional Imaging and Modeling of the Heart |
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LNCS |
| Volume |
3504 |
Issue |
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Pages |
889-892 |
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| Abstract |
IntraVascular Ultrasound (IVUS) is an exploratory technique used in interventional procedures that shows cross section images of arteries and provides qualitative information about the causes and severity of the arterial lumen narrowing. Cross section analysis as well as visualization of plaque extension in a vessel segment during the catheter imaging pullback are the technique main advantages. However, IVUS sequence exhibits a periodic rotation artifact that makes difficult the longitudinal lesion inspection and hinders any segmentation algorithm. In this paper we propose a new kinematic method to estimate and remove the image rotation of IVUS images sequences. Results on several IVUS sequences show good results and prompt some of the clinical applications to vessel dynamics study, and relation to vessel pathology. |
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Springer Berlin / Heidelberg |
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Editor |
Frangi, Alejandro and Radeva, Petia and Santos, Andres and Hernandez, Monica |
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Lecture Notes in Computer Science |
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LNCS |
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3504 |
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| Notes |
IAM;MILAB |
Approved |
no |
| Call Number |
IAM @ iam @ RRR2005 |
Serial |
1645 |
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| Author |
David Masip; Jordi Vitria |
| Title |
Classifier Combination Applied to Real Time Face Detection and Classification. |
Type |
Book Chapter |
| Year |
2004 |
Publication |
Recerca Automatica, Visio i Robotica, Ed. UPC, A. Grau, V. Puig (Eds.), 345–353, ISBN 84–7653–844–8 |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ MBV2004b |
Serial |
449 |
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| Author |
Angel Sappa; Niki Aifanti; N. Grammalidis; Sotiris Malassiotis |
| Title |
Advances in Vision-Based Human Body Modeling |
Type |
Book Chapter |
| Year |
2004 |
Publication |
3D Modeling & Animation: Systhesis and Analysis Techniques for the Human Body |
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Pages |
1-26 |
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N. Sarris and M. Strintzis. |
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1-59140-299-9 |
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ADAS |
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no |
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ADAS @ adas @ SAG2004a |
Serial |
458 |
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| Author |
P. Andreeva; Maya Dimitrova; Petia Radeva |
| Title |
Data Mining Learning Models and Algorithms for Medical Applications |
Type |
Book Chapter |
| Year |
2004 |
Publication |
18 Conference Systems for Automation of Engineering and Research (SEAR 2004) |
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Varna (Bulgaria) |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ ADR2004 |
Serial |
474 |
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| Author |
Ernest Valveny; Philippe Dosch |
| Title |
Performance Evaluation of Symbol Recognition |
Type |
Book Chapter |
| Year |
2004 |
Publication |
Document Analysis Systems |
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LNCS |
| Volume |
3163 |
Issue |
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Pages |
354–365 |
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Springer-Verlag |
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S. Marinai, A. Dengel (Eds.), |
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3-540-23060-2 |
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DAG |
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no |
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DAG @ dag @ VaD2004a |
Serial |
502 |
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| Author |
Jordi Vitria; Petia Radeva; I. Aguilo |
| Title |
Recent Advances in Artificial Intelligence Research and Development |
Type |
Book Chapter |
| Year |
2004 |
Publication |
Frontiers in Artificial Intelligence and Applications, 113, J. Vitria, P. Radeva, I. Aguilo (Eds.), ISBN: 1–58603–466–9 |
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Amsterdam |
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OR;MILAB;MV |
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no |
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BCNPCL @ bcnpcl @ VRA2004 |
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509 |
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| Author |
Jaume Garcia; Petia Radeva; Francesc Carreras |
| Title |
Combining Spectral and Active Shape methods to Track Tagged MRI |
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Book Chapter |
| Year |
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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no |
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IAM @ iam @ GRC2004 |
Serial |
1488 |
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