| Records |
| Author |
Gemma Sanchez; Josep Llados; K. Tombre |
Title  |
A mean string algorithm to compute the average among a set of 2D shapes |
Type |
Report |
| Year |
2000 |
Publication |
CVC Technical Report #38 |
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CVC (UAB) |
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DAG |
Approved |
no |
| Call Number |
DAG @ dag @ SLT2000 |
Serial |
350 |
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| Author |
F.X. Perez; F. Javier Sanchez; Xavier Binefa; Xavier Roca; Jordi Vitria; Juan J. Villanueva |
| Title |
A mathematical morphology-based system for IC´s inspection and analysis. |
Type |
Conference Article |
| Year |
1993 |
Publication |
Institute of Physics Conferences Series |
Abbreviated Journal |
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| Volume |
135 |
Issue |
10 |
Pages |
381–384 |
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| Address |
Bristol |
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| Publisher |
Institute of Physics |
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MV;OR;ISE |
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no |
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BCNPCL @ bcnpcl @ PSB1993; IAM @ iam @ PSB1993 |
Serial |
150 |
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| Author |
Mariano Vazquez; Ruth Aris; Guillaume Hozeaux; R.Aubry; P.Villar;Jaume Garcia ; Debora Gil; Francesc Carreras |
| Title |
A massively parallel computational electrophysiology model of the heart |
Type |
Journal Article |
| Year |
2011 |
Publication |
International Journal for Numerical Methods in Biomedical Engineering |
Abbreviated Journal |
IJNMBE |
| Volume |
27 |
Issue |
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Pages |
1911-1929 |
| Keywords |
computational electrophysiology; parallelization; finite element methods |
| Abstract |
This paper presents a patient-sensitive simulation strategy capable of using the most efficient way the high-performance computational resources. The proposed strategy directly involves three different players: Computational Mechanics Scientists (CMS), Image Processing Scientists and Cardiologists, each one mastering its own expertise area within the project. This paper describes the general integrative scheme but focusing on the CMS side presents a massively parallel implementation of computational electrophysiology applied to cardiac tissue simulation. The paper covers different angles of the computational problem: equations, numerical issues, the algorithm and parallel implementation. The proposed methodology is illustrated with numerical simulations testing all the different possibilities, ranging from small domains up to very large ones. A key issue is the almost ideal scalability not only for large and complex problems but also for medium-size meshes. The explicit formulation is particularly well suited for solving this highly transient problems, with very short time-scale. |
| Address |
Swansea (UK) |
| Corporate Author |
John Wiley & Sons, Ltd. |
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| Publisher |
John Wiley & Sons, Ltd. |
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IAM |
Approved |
no |
| Call Number |
IAM @ iam @ VAH2011 |
Serial |
1198 |
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| Author |
Joaquin Salas; Wendy Avalos; Rafael Castañeda; Mario Maya |
| Title |
A machine-vision system to measure the parameters describing the performance of a Foucault pendulum |
Type |
Journal |
| Year |
2006 |
Publication |
Machine Vision and Applications |
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| Volume |
17 |
Issue |
2 |
Pages |
133–138 |
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no |
| Call Number |
Admin @ si @ SAC2006 |
Serial |
644 |
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| Author |
A. Pujol; X. Varona; Joan Serrat |
| Title |
A machine vision system for the inspection of industrial sieves. |
Type |
Miscellaneous |
| Year |
1997 |
Publication |
VII SNRFAI. |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ PVS1997 |
Serial |
33 |
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| Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Carolina Malagelada; Petia Radeva |
| Title |
A Machine Learning framework using SOMs: Applications in the Intestinal Motility Assessment |
Type |
Book Chapter |
| Year |
2006 |
Publication |
11th Iberoamerican Congress on Pattern Recognition |
Abbreviated Journal |
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| Volume |
4225 |
Issue |
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Pages |
188–197 |
| Keywords |
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| Abstract |
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. |
| Address |
Cancun (Mexico) |
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Thesis |
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| Publisher |
Springer Verlag |
Place of Publication |
Berlin-Heidelberg |
Editor |
J.P. Martinez–Trinidad et al |
| Language |
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LNCS |
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| Area |
800 |
Expedition |
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Conference |
CIARP06 |
| Notes |
MV;OR;MILAB;SIAI |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ VSV2006d; IAM @ iam @ VSV2006e |
Serial |
729 |
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| Author |
Fernando Vilariño |
| Title |
A Machine Learning Approach for Intestinal Motility Assessment with Capsule Endoscopy |
Type |
Book Whole |
| Year |
2006 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Issue |
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Pages |
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| Abstract |
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. |
| Address |
CVC (UAB) |
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Thesis |
Ph.D. thesis |
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Editor |
Petia Radeva |
| Language |
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Series Issue |
84-933652-7-0 |
Edition |
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ISBN |
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Medium |
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| Area |
800 |
Expedition |
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Conference |
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| Notes |
MV;SIAI |
Approved |
no |
| Call Number |
Admin @ si @ Vil2006; IAM @ iam @ Vil2006 |
Serial |
738 |
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| Author |
Zhong Jin; Jing-Yu Yang; Zhen Lou |
| Title |
A luminance-conditional distribution model of skin color information |
Type |
Miscellaneous |
| Year |
2005 |
Publication |
2005 Beijing International Conference on Imaging: Technology and Applications for the 21th Century, 280–281 |
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| Address |
Beijing (China) |
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no |
| Call Number |
Admin @ si @ JYL2005 |
Serial |
628 |
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| Author |
Anonymous |
| Title |
A Low Computational-Cost Method to Fuse IKONOS Images Using the Spectral Response Function of Its Sensors |
Type |
Journal |
| Year |
2006 |
Publication |
IEEE Transactions on Geoscience and Remote Sensing, 44(6): 1683–1691 |
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no |
| Call Number |
CAT @ cat @ GOF2006 |
Serial |
650 |
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| Author |
Michael Holte; Bhaskar Chakraborty; Jordi Gonzalez; Thomas B. Moeslund |
| Title |
A Local 3D Motion Descriptor for Multi-View Human Action Recognition from 4D Spatio-Temporal Interest Points |
Type |
Journal Article |
| Year |
2012 |
Publication |
IEEE Journal of Selected Topics in Signal Processing |
Abbreviated Journal |
J-STSP |
| Volume |
6 |
Issue |
5 |
Pages |
553-565 |
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| Abstract |
In this paper, we address the problem of human action recognition in reconstructed 3-D data acquired by multi-camera systems. We contribute to this field by introducing a novel 3-D action recognition approach based on detection of 4-D (3-D space $+$ time) spatio-temporal interest points (STIPs) and local description of 3-D motion features. STIPs are detected in multi-view images and extended to 4-D using 3-D reconstructions of the actors and pixel-to-vertex correspondences of the multi-camera setup. Local 3-D motion descriptors, histogram of optical 3-D flow (HOF3D), are extracted from estimated 3-D optical flow in the neighborhood of each 4-D STIP and made view-invariant. The local HOF3D descriptors are divided using 3-D spatial pyramids to capture and improve the discrimination between arm- and leg-based actions. Based on these pyramids of HOF3D descriptors we build a bag-of-words (BoW) vocabulary of human actions, which is compressed and classified using agglomerative information bottleneck (AIB) and support vector machines (SVMs), respectively. Experiments on the publicly available i3DPost and IXMAS datasets show promising state-of-the-art results and validate the performance and view-invariance of the approach. |
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1932-4553 |
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ISE |
Approved |
no |
| Call Number |
Admin @ si @ HCG2012 |
Serial |
1994 |
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| Author |
Fernando Vilariño; Dimosthenis Karatzas |
| Title |
A Living Lab approach for Citizen Science in Libraries |
Type |
Conference Article |
| Year |
2016 |
Publication |
1st International ECSA Conference |
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| Address |
Berlin; Germany; May 2016 |
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ECSA |
| Notes |
MV; DAG; 600.084; 600.097;SIAI |
Approved |
no |
| Call Number |
Admin @ si @ViK2016 |
Serial |
2804 |
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| Author |
Alicia Fornes; Volkmar Frinken; Andreas Fischer; Jon Almazan; G. Jackson; Horst Bunke |
| Title |
A Keyword Spotting Approach Using Blurred Shape Model-Based Descriptors |
Type |
Conference Article |
| Year |
2011 |
Publication |
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing |
Abbreviated Journal |
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Pages |
83-90 |
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| Abstract |
The automatic processing of handwritten historical documents is considered a hard problem in pattern recognition. In addition to the challenges given by modern handwritten data, a lack of training data as well as effects caused by the degradation of documents can be observed. In this scenario, keyword spotting arises to be a viable solution to make documents amenable for searching and browsing. For this task we propose the adaptation of shape descriptors used in symbol recognition. By treating each word image as a shape, it can be represented using the Blurred Shape Model and the De-formable Blurred Shape Model. Experiments on the George Washington database demonstrate that this approach is able to outperform the commonly used Dynamic Time Warping approach. |
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ACM |
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ISBN |
978-1-4503-0916-5 |
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Conference |
HIP |
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DAG |
Approved |
no |
| Call Number |
Admin @ si @ FFF2011a |
Serial |
1823 |
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| Author |
Albert Gordo; Jaume Gibert; Ernest Valveny; Marçal Rusiñol |
| Title |
A Kernel-based Approach to Document Retrieval |
Type |
Conference Article |
| Year |
2010 |
Publication |
9th IAPR International Workshop on Document Analysis Systems |
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Issue |
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Pages |
377–384 |
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In this paper we tackle the problem of document image retrieval by combining a similarity measure between documents and the probability that a given document belongs to a certain class. The membership probability to a specific class is computed using Support Vector Machines in conjunction with similarity measure based kernel applied to structural document representations. In the presented experiments, we use different document representations, both visual and structural, and we apply them to a database of historical documents. We show how our method based on similarity kernels outperforms the usual distance-based retrieval. |
| Address |
Boston; USA; |
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978-1-60558-773-8 |
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DAS |
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DAG |
Approved |
no |
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DAG @ dag @ GGV2010 |
Serial |
1431 |
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| Author |
Jordi Gonzalez; X. Varona; Xavier Roca; Juan J. Villanueva |
| Title |
A Human Action Comparison Framework for Motion Understanding |
Type |
Miscellaneous |
| Year |
2003 |
Publication |
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Palma de Mallorca, Spain |
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ISE |
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no |
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ISE @ ise @ GVR2003e |
Serial |
361 |
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| Author |
Jordi Gonzalez; J. Varona; Xavier Roca; Juan J. Villanueva |
| Title |
A Human Action Comparison Framework for Motion Understanding |
Type |
Miscellaneous |
| Year |
2003 |
Publication |
Frontiers in Artificial Intelligence and Applications 100, 331–340 |
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ISE |
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no |
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ISE @ ise @ GVR2003c |
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389 |
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