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Author |
Angel Sappa; Boris X. Vintimilla |
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Title |
Edge Point Linking by Means of Global and Local Schemes |
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Conference Article |
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Year |
2006 |
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IEEE Int. Conf. on Signal-Image Technology and Internet-Based Systems, Hammamet, Tunisia, December 2006, pp. 551-560. |
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Hammamet (Tunisia) |
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ADAS |
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no |
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ADAS @ adas @ SaV2006 |
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722 |
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Author |
Jordi Vitria; M. Bressan; Petia Radeva |
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Title |
Bayesian classification of cork stoppers using class-conditional independent component analysis |
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2006 |
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IEEE Transactions on Systems, Man and Cybernetics (Part C), 36(6) |
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OR;MILAB;MV |
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no |
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BCNPCL @ bcnpcl @ VBR2006 |
Serial |
723 |
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Author |
Karla Lizbeth Caballero; Joel Barajas; Oriol Pujol; Neus Salvatella; Petia Radeva |
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Title |
In-Vivo IVUS Tissue Classification: A Comparison Between RF Signal Analysis and Reconstructed Images |
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Book Chapter |
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Year |
2006 |
Publication |
11th Iberoamerican Congress on Pattern Recognition (CIARP´06), LNCS 4225: 137–146 |
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Cancun (Mexico) |
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MILAB;HuPBA |
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no |
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BCNPCL @ bcnpcl @ CBP2006c |
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724 |
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Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
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Title |
Cascade analysis for intestinal contraction detection |
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Conference Article |
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Year |
2006 |
Publication |
20th International Congress and exhibition Computer Assisted Radiology and Surgery |
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9-10 |
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Keywords |
intestine video analysis, anisotropic features, support vector machine, cascade of classifiers |
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Abstract |
In this work, we address the study of intestinal contractions in a novel approach based on a machine learning framework to process data from Wireless Capsule Video Endoscopy. Wireless endoscopy represents a unique way to visualize the intestine motility by creating long videos to visualize intestine dynamics. In this paper we argue that to analyze huge amount of wireless endoscopy data and define robust methods for contraction detection we should base our approach on sophisticated machine learning techniques. In particular, we propose a cascade of classifiers in order to remove different physiological phenomenon and obtain the motility pattern of small intestines. Our results show obtaining high specificity and sensitivity rates that highlight the high efficiency of the selected approach and support the feasibility of the proposed methodology in the automatic detection and analysis of intestine contractions. |
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Osaka (Japan) |
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800 |
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CARS |
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Notes |
MV;OR;MILAB;SIAI |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ VSV2006a; IAM @ iam @ VSV2006h |
Serial |
726 |
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Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
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Title |
Automatic Detection of Intestinal Juices in Wireless Capsule Video Endoscopy |
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Conference Article |
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Year |
2006 |
Publication |
18th International Conference on Pattern Recognition |
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4 |
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719-722 |
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Keywords |
Clinical diagnosis , Endoscopes , Fluids and secretions , Gabor filters , Hospitals , Image sequence analysis , Intestines , Lighting , Shape , Visualization |
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Abstract |
Wireless capsule video endoscopy is a novel and challenging clinical technique, whose major reported drawback relates to the high amount of time needed for video visualization. In this paper, we propose a method for the rejection of the parts of the video resulting not valid for analysis by means of automatic detection of intestinal juices. We applied Gabor filters for the characterization of the bubble-like shape of intestinal juices in fasting patients. Our method achieves a significant reduction in visualization time, with no relevant loss of valid frames. The proposed approach is easily extensible to other image analysis scenarios where the described pattern of bubbles can be found. |
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Hong Kong |
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1051-4651 |
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0-7695-2521-0 |
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800 |
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ICPR |
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Notes |
MV;OR;MILAB;SIAI |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ VSV2006b; IAM @ iam @ VSV2006g |
Serial |
727 |
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Author |
Francisco Javier Orozco; Pau Baiget; Jordi Gonzalez; Xavier Roca |
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Title |
Eyelids and Face Tracking in Real-Time |
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Miscellaneous |
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Year |
2006 |
Publication |
6th IASTED International Conference Visualization, Imaging, and Image Processing (VIIP´06), 165–170 |
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Palma de Mallorca (Spain) |
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ISE |
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no |
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ISE @ ise @ OBG2006 |
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730 |
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Author |
Salim Jouili; Salvatore Tabbone; Ernest Valveny |
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Title |
Comparing Graph Similarity Measures for Graphical Recognition |
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Book Chapter |
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Year |
2010 |
Publication |
Graphics Recognition. Achievements, Challenges, and Evolution. 8th International Workshop, GREC 2009. Selected Papers |
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Volume |
6020 |
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37-48 |
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Abstract |
In this paper we evaluate four graph distance measures. The analysis is performed for document retrieval tasks. For this aim, different kind of documents are used including line drawings (symbols), ancient documents (ornamental letters), shapes and trademark-logos. The experimental results show that the performance of each graph distance measure depends on the kind of data and the graph representation technique. |
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Springer Berlin Heidelberg |
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0302-9743 |
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978-3-642-13727-3 |
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GREC |
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DAG |
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no |
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Admin @ si @ JTV2010 |
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2404 |
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Author |
Fadi Dornaika; Franck Davoine |
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Title |
On appearance based face and facial action tracking |
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2006 |
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IEEE Transactions on Circuits and Systems for Video Technology, 16(9): 1838–1853 |
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no |
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Admin @ si @ DoD2006b |
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732 |
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Author |
Fadi Dornaika; J. Ahlberg |
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Title |
Fitting 3D face models for tracking and active appearance model training |
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2006 |
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Image and Vision Computing, 24(9): 1010–1024 |
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no |
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Admin @ si @ DoA2006 |
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733 |
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Author |
Fadi Dornaika; Franck Davoine |
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Facial expression recognition using auto-regressive models |
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2006 |
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18th International Conference on Pattern Recognition (ICPR´06), ISBN: 0–7695–2521–0, 4: 520–523 |
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Hong Kong |
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no |
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Admin @ si @ DoD2006a |
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734 |
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Author |
R. Herault; Franck Davoine; Fadi Dornaika; Y. Grandvalet |
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Title |
Simultaneous and robust face and facial action tracking |
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Miscellaneous |
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2006 |
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15eme Congres Francophone AFRIF–AFIA de Reconnaissance des Formes et Intelligence Artificielle (RFIA´06) |
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Tours (France) |
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Admin @ si @ HDD2006 |
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735 |
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Author |
David Aldavert |
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Title |
Visual Simultaneous Localization and Mapping |
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2006 |
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CVC Technical Report #98 |
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CVC (UAB) |
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ADAS |
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no |
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Admin @ si @ Ald2006 |
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736 |
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Author |
David Geronimo |
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Title |
Model Features and Horizon Line Estimation for Pedestrian Detection in Advanced Driver Assistance Systems |
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2006 |
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CVC Technical Report #98 |
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CVC (UAB) |
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Master's thesis |
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ADAS |
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no |
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ADAS @ adas @ Ger2006 |
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737 |
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Author |
German Ros; J. Guerrero; Angel Sappa; Daniel Ponsa; Antonio Lopez |
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Title |
Fast and Robust l1-averaging-based Pose Estimation for Driving Scenarios |
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2013 |
Publication |
24th British Machine Vision Conference |
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SLAM |
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Robust visual pose estimation is at the core of many computer vision applications, being fundamental for Visual SLAM and Visual Odometry problems. During the last decades, many approaches have been proposed to solve these problems, being RANSAC one of the most accepted and used. However, with the arrival of new challenges, such as large driving scenarios for autonomous vehicles, along with the improvements in the data gathering frameworks, new issues must be considered. One of these issues is the capability of a technique to deal with very large amounts of data while meeting the realtime
constraint. With this purpose in mind, we present a novel technique for the problem of robust camera-pose estimation that is more suitable for dealing with large amount of data, which additionally, helps improving the results. The method is based on a combination of a very fast coarse-evaluation function and a robust ℓ1-averaging procedure. Such scheme leads to high-quality results while taking considerably less time than RANSAC.
Experimental results on the challenging KITTI Vision Benchmark Suite are provided, showing the validity of the proposed approach. |
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Bristol; UK; September 2013 |
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BMVC |
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ADAS |
Approved |
no |
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Admin @ si @ RGS2013b; ADAS @ adas @ |
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2274 |
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Author |
Jaume Amores |
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Title |
MILDE: multiple instance learning by discriminative embedding |
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Year |
2015 |
Publication |
Knowledge and Information Systems |
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KAIS |
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42 |
Issue |
2 |
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381-407 |
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Multi-instance learning; Codebook; Bag of words |
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While the objective of the standard supervised learning problem is to classify feature vectors, in the multiple instance learning problem, the objective is to classify bags, where each bag contains multiple feature vectors. This represents a generalization of the standard problem, and this generalization becomes necessary in many real applications such as drug activity prediction, content-based image retrieval, and others. While the existing paradigms are based on learning the discriminant information either at the instance level or at the bag level, we propose to incorporate both levels of information. This is done by defining a discriminative embedding of the original space based on the responses of cluster-adapted instance classifiers. Results clearly show the advantage of the proposed method over the state of the art, where we tested the performance through a variety of well-known databases that come from real problems, and we also included an analysis of the performance using synthetically generated data. |
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Springer London |
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0219-1377 |
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ADAS; 601.042; 600.057; 600.076 |
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no |
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Admin @ si @ Amo2015 |
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2383 |
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