Records |
Author |
Fadi Dornaika; Angel Sappa |
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3D Face Tracking using Appearance Registration and Robust Iterative Closest Point Algorithm |
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2006 |
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21st International Symposium on Computer and Information Sciences (ISCIS´06), LNCS 4263: 532–541 |
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Istanbul (Turkey) |
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ADAS @ adas @ DoS2006d |
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688 |
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Mikhail Mozerov; Ignasi Rius; Xavier Roca; Jordi Gonzalez |
Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
3D Human Motion Sequences Synchronization Using Dense Matching Algorithm |
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2006 |
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28th Annual Symposium of the German Association for Pattern Recognition, LNCS 4174: 485–494, ISBN 978–3–540–44412–1 |
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Berlin (Germany) |
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ISE @ ise @ MRR2006 |
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678 |
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Author |
Fadi Dornaika; Angel Sappa |
Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
3D Motion from Image Derivatives using the Least Trimmed Square Regression |
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Book Chapter |
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2006 |
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International Workshop on Intelligent Computing in Pattern Analysis/Synthesis (IWICPAS´06), LNCS 4153: 76–84 |
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Xi'an (China) |
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ADAS @ adas @ DoS2006b |
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690 |
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Shigang Yue; F. Claire Rind; Matthias S. Keil; Jorge Cuadri; Richard Stafford |
Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
A bio-inspired visual collision detection mechanism for cars: Optimisation of a model of a locust neuron to a novel environment |
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2006 |
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Neurocomputing 69(13–15): 1591–1598 |
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Admin @ si @ YRK2006 |
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652 |
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Lubomir Latchev; Maya Dimitrova; David Rotger |
Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
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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Robert Benavente; Maria Vanrell; Ramon Baldrich |
Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
A data set for fuzzy colour naming |
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2006 |
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Color Research & Application, 31(1):48–56 |
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CIC |
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CAT @ cat @ BVB2006 |
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590 |
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Author |
Ernest Valveny; Philippe Dosch |
Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
A general framework for the evaluation of symbol recognition methods |
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2006 |
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International Journal on Document Analysis and Recognition |
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DAG @ dag @ VaD2006 |
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686 |
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Ernest Valveny; Philippe Dosch; Adam Winstanley; Yu Zhou; Su Yang; Luo Yan; Liu Wenyin; Dave Elliman; Mathieu Nicolas Delalandre; Eric Trupin; Sebastien Adam; Jean-Marc Ogier |
Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
A general framework for the evaluation of symbol recognition methods |
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2006 |
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International Journal on Document Analysis and Recognition (IJDAR), 9(1): 59–74 |
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DAG @ dag @ VDW2006 |
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801 |
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Anonymous |
Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
A Low Computational-Cost Method to Fuse IKONOS Images Using the Spectral Response Function of Its Sensors |
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2006 |
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IEEE Transactions on Geoscience and Remote Sensing, 44(6): 1683–1691 |
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CAT @ cat @ GOF2006 |
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650 |
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Author |
Fernando Vilariño |
Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
A Machine Learning Approach for Intestinal Motility Assessment with Capsule Endoscopy |
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Book Whole |
Year |
2006 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Intestinal motility assessment with video capsule endoscopy arises as a novel and challenging clinical fieldwork. This technique is based on the analysis of the patterns of intestinal contractions obtained by labelling all the motility events present in a video provided by a capsule with a wireless micro-camera, which is ingested by the patient. However, the visual analysis of these video sequences presents several im- portant drawbacks, mainly related to both the large amount of time needed for the visualization process, and the low prevalence of intestinal contractions in video.
In this work we propose a machine learning system to automatically detect the intestinal contractions in video capsule endoscopy, driving a very useful but not fea- sible clinical routine into a feasible clinical procedure. Our proposal is divided into two different parts: The first part tackles the problem of the automatic detection of phasic contractions in capsule endoscopy videos. Phasic contractions are dynamic events spanning about 4-5 seconds, which show visual patterns with a high variability. Our proposal is based on a sequential design which involves the analysis of textural, color and blob features with powerful classifiers such as SVM. This approach appears to cope with two basic aims: the reduction of the imbalance rate of the data set, and the modular construction of the system, which adds the capability of including domain knowledge as new stages in the cascade. The second part of the current work tackles the problem of the automatic detection of tonic contractions. Tonic contrac- tions manifest in capsule endoscopy as a sustained pattern of the folds and wrinkles of the intestine, which may be prolonged for an undetermined span of time. Our proposal is based on the analysis of the wrinkle patterns, presenting a comparative study of diverse features and classification methods, and providing a set of appro- priate descriptors for their characterization. We provide a detailed analysis of the performance achieved by our system both in a qualitative and a quantitative way. |
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CVC (UAB) |
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Ph.D. thesis |
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Petia Radeva |
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84-933652-7-0 |
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800 |
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MV;SIAI |
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Admin @ si @ Vil2006; IAM @ iam @ Vil2006 |
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738 |
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Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Carolina Malagelada; Petia Radeva |
Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
A Machine Learning framework using SOMs: Applications in the Intestinal Motility Assessment |
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2006 |
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11th Iberoamerican Congress on Pattern Recognition |
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4225 |
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188–197 |
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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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Cancun (Mexico) |
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Springer Verlag |
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Berlin-Heidelberg |
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J.P. Martinez–Trinidad et al |
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LNCS |
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800 |
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CIARP06 |
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MV;OR;MILAB;SIAI |
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BCNPCL @ bcnpcl @ VSV2006d; IAM @ iam @ VSV2006e |
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729 |
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Joaquin Salas; Wendy Avalos; Rafael Castañeda; Mario Maya |
Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
A machine-vision system to measure the parameters describing the performance of a Foucault pendulum |
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2006 |
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Machine Vision and Applications |
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17 |
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2 |
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133–138 |
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Admin @ si @ SAC2006 |
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644 |
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Marçal Rusiñol |
Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
A Model of Vectorial Signatures in Terms of Expressive Sub-Shapes: Symbol Indexation in Technical Documents |
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Report |
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2006 |
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CVC Technical Report #94 |
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CVC (UAB) |
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DAG @ dag @ Rus2006 |
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668 |
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Oriol Ramos Terrades; Ernest Valveny |
Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
A new use of the ridgelets transform for describing linear singularities in images |
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Journal Article |
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2006 |
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Pattern Recognition Letters |
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PRL |
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27 |
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6 |
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587–596 |
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DAG @ dag @ RaV2006a |
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635 |
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Zhong Jin; Franck Davoine; Zhen Lou; Jing-Yu Yang |
Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
A novel PCA-based Bayes classifier and face analysis |
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2006 |
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International Conference on Advances in Biometrics (ICB’06), LNCS 3832: 144–150 |
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Hong Kong |
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Admin @ si @ JDL2006 |
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624 |
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