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Author |
Petia Radeva; Jordi Vitria |
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Title  |
“Inteligencia artificial” Centre de Visio per Computador |
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Miscellaneous |
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2003 |
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Europacork.com (Digital Journal) Any II num. 7 |
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OR;MILAB;MV |
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no |
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BCNPCL @ bcnpcl @ RaV2003b |
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404 |
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Author |
David Lloret; Antonio Lopez; Joan Serrat |
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Title |
3-D image Processing and Modeling, workshop on non-linear model-based image analysis. |
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Miscellaneous |
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1998 |
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NMBIA |
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Glasgow, U.K. |
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ADAS |
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ADAS @ adas @ LLS1998c |
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15 |
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Author |
J. Mauri; E. Esplugas; B. Garcia del Blanco; E Fernandez-Nofrerias; A. Cequier; J.A. Gomez-Hospital; Petia Radeva; Ricardo Toledo; Cristina Cañero; Juan J. Villanueva |
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Title |
3-D Stent and Vessel Reconstruction from IVUS: a Physics-Based Approach |
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Miscellaneous |
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2000 |
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European Heart Journal, Vol.21, XXII Congreso of the European Society of Cardiology |
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MILAB;ADAS |
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BCNPCL @ bcnpcl @ MEG2000 |
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440 |
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Author |
Ignasi Rius; Dani Rowe; Jordi Gonzalez; Xavier Roca |
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Title |
3D Action Modeling and Reconstruction for 2D Human Body Tracking |
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Miscellaneous |
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Year |
2005 |
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3rd International Conference on Advances in Pattern Recognition (ICAPR’2005), Pattern Recognition and Image Analysis, LNCS 3687: 146–154, ISBN 978–3–540–28833–6 |
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Bath (United Kingdom) |
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ISE |
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ISE @ ise @ RRG2005c |
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578 |
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Author |
Petia Radeva; Ricardo Toledo; Craig Von Land; Juan J. Villanueva |
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Title |
3D Dynamic Model of the Coronary Tree. |
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Miscellaneous |
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1998 |
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Cleveland, OH |
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MILAB;ADAS |
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no |
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BCNPCL @ bcnpcl @ RTV1998b |
Serial |
200 |
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Author |
Angel Sappa; Niki Aifanti; Sotiris Malassiotis; Michael G. Strintzis |
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Title |
3D Gait Estimation from Monoscopic Video |
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Miscellaneous |
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2004 |
Publication |
IEEE International Conference on Image Processing |
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Singapore |
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ADAS |
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no |
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ADAS @ adas @ SAM2004c |
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495 |
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Author |
David Rotger; Cristina Cañero; Petia Radeva; J. Mauri; E. Fernandez; A. Tovar; V. Valle |
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Title |
3D Interactive Visualization and Volumetric Measurements of Coronary Vessels in IVUS. |
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Miscellaneous |
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2001 |
Publication |
Proceedings of the IX Spanish Symposium on Pattern Recognition and Image Analysis, 1:151–156. |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ RCR2001a |
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156 |
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Author |
Gabriel Villalonga; Sebastian Ramos; German Ros; David Vazquez; Antonio Lopez |
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Title |
3d Pedestrian Detection via Random Forest |
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Miscellaneous |
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Year |
2014 |
Publication |
European Conference on Computer Vision |
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231-238 |
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Pedestrian Detection |
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Abstract |
Our demo focuses on showing the extraordinary performance of our novel 3D pedestrian detector along with its simplicity and real-time capabilities. This detector has been designed for autonomous driving applications, but it can also be applied in other scenarios that cover both outdoor and indoor applications.
Our pedestrian detector is based on the combination of a random forest classifier with HOG-LBP features and the inclusion of a preprocessing stage based on 3D scene information in order to precisely determinate the image regions where the detector should search for pedestrians. This approach ends up in a high accurate system that runs real-time as it is required by many computer vision and robotics applications. |
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Zurich; suiza; September 2014 |
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ECCV-Demo |
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ADAS; 600.076 |
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no |
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Call Number |
Admin @ si @ VRR2014 |
Serial |
2570 |
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Author |
Petia Radeva; Cristina Cañero; Juan J. Villanueva; J. Mauri; E Fernandez-Nofrerias |
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Title |
3D Reconstruction of a Stent by Deformable Models. |
Type |
Miscellaneous |
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Year |
2001 |
Publication |
Proceedings of the IASTED International Conference, Visualization, Imaging and Image Processing, 417–422. |
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Marbella. |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ RCV2001 |
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158 |
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Author |
Petia Radeva; M. Scoccianti |
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Title |
3D Reconstruction of Abdominal Aortic Aneurysm |
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Miscellaneous |
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2000 |
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Elsevier Science B.V., Ed. H.U. Lemke, M.W. Vannier, K. Inamura, A.G.Farman and K.Doi, CARS 2000, pp.1014, ISBN:0–444–50536–9 |
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San Francisco, USA |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ RaS2000 |
Serial |
439 |
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Author |
Daniel Ponsa; Antonio Lopez; Felipe Lumbreras; Joan Serrat; T. Graf |
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Title |
3D Vehicle Sensor based on Monocular Vision |
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Miscellaneous |
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2005 |
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Proceedings of the 8th International IEEE Conference on Intelligent Transportation Systems, 1096–1101, ISBN:0–7803–9216–7 |
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Vienna (Austria) |
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ADAS |
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no |
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ADAS @ adas @ PLL2005 |
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614 |
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Author |
Petia Radeva; Ricardo Toledo; Craig Von Land; Juan J. Villanueva |
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Title |
3D Vessel Reconstruction from Biplane Angiograms using Snakes. |
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Miscellaneous |
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1998 |
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Cleveland, OH |
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MILAB;ADAS |
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BCNPCL @ bcnpcl @ RTV1998a |
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198 |
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Author |
Lubomir Latchev; Maya Dimitrova; David Rotger |
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Title |
A Classifier of Technical Diagnostic States of Electrocardiograph |
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Miscellaneous |
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2006 |
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International Conference on Computer Systems and Technologies (CompSysTech´06), 15.1–15.6 |
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University of Veliko Tarnovo (Bulgaria) |
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Admin @ si @ LDR2006 |
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774 |
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Author |
Oriol Ramos Terrades; Albert Berenguel; Debora Gil |
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Title |
A flexible outlier detector based on a topology given by graph communities |
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Miscellaneous |
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2020 |
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Arxiv |
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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. |
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IAM; DAG; 600.139; 600.145; 600.140; 600.121 |
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Admin @ si @ RBG2020 |
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3475 |
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Author |
Gemma Sanchez; Josep Llados |
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Title |
A Graph Grammar to Recognize Textured Symbols. |
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Miscellaneous |
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2001 |
Publication |
Sixth International Conference on Document Analysis and Recognition, ICDAR 2001, 465–469. |
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USA |
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DAG |
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DAG @ dag @ SLl2001 |
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162 |
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| Permanent link to this record |
