| Records |
| Author |
V. Chapaprieta; Ernest Valveny |
Title  |
Handwritten Digit Recognition Using Point Distribution Models. |
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Miscellaneous |
| Year |
2001 |
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Proceedings of the IX Spanish Symposium on Pattern Recognition and Image Analysis, 1:49–54. |
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DAG |
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no |
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DAG @ dag @ ChV2001 |
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83 |
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| Author |
Agnes Borras |
| Title |
High-Level Clothes Description Based on Colour-Texture Features. |
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Miscellaneous |
| Year |
2002 |
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Director: J. Llados, Master Thesis. |
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no |
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DAG @ dag @ Bor2002 |
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322 |
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| Author |
Alejandro Cartas; Jordi Luque; Petia Radeva; Carlos Segura; Mariella Dimiccoli |
| Title |
How Much Does Audio Matter to Recognize Egocentric Object Interactions? |
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Miscellaneous |
| Year |
2019 |
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Arxiv |
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CoRR abs/1906.00634
Sounds are an important source of information on our daily interactions with objects. For instance, a significant amount of people can discern the temperature of water that it is being poured just by using the sense of hearing. However, only a few works have explored the use of audio for the classification of object interactions in conjunction with vision or as single modality. In this preliminary work, we propose an audio model for egocentric action recognition and explore its usefulness on the parts of the problem (noun, verb, and action classification). Our model achieves a competitive result in terms of verb classification (34.26% accuracy) on a standard benchmark with respect to vision-based state of the art systems, using a comparatively lighter architecture. |
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MILAB; no menciona |
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no |
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Admin @ si @ CLR2019 |
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3383 |
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| Author |
Jordi Gonzalez; Javier Varona; Xavier Roca; Juan J. Villanueva |
| Title |
Human Activity Learning and Recognition from Appearance. |
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Miscellaneous |
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2001 |
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World Multiconference on Systemics, Cybernetics and Informatics SCI 2001, XIII:463–466 |
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USA |
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ISE |
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ISE @ ise @ GVR2001 |
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108 |
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| Author |
Jordi Gonzalez; Javier Varona; Xavier Roca; Juan J. Villanueva |
| Title |
Human Sequence Evaluation: towards Knowledge-based Scene Interpretations |
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Miscellaneous |
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2003 |
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Frontiers in Artificial Intelligence and Applications 100, 168–177 |
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ISE |
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ISE @ ise @ GVR2003d |
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390 |
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| Author |
Josep Llados; Felipe Lumbreras; V. Chapaprieta; J. Queralt |
| Title |
ICAR: Identity Card Automatic Reader. |
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Miscellaneous |
| Year |
2001 |
Publication |
Sixth International Conference on Document Analysis and Recognition |
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ICDAR 2001 |
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470–474 |
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USA |
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ADAS;DAG |
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no |
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ADAS @ adas @ LLC2001 |
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112 |
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| Author |
J.R. Serra; A. Martinez; Jordi Vitria; J.B. Subirana |
| Title |
Iconic Representation to Image Retrieval. |
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Miscellaneous |
| Year |
1997 |
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Jornades d'Intel.ligència Artificial: Noves Tendències (JIA'97) |
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Lleida |
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DOC;OR;MV |
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BCNPCL @ bcnpcl @ SMV1997 |
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55 |
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Spyridon Bakas; Mauricio Reyes; Andras Jakab; Stefan Bauer; Markus Rempfler; Alessandro Crimi; Russell Takeshi Shinohara; Christoph Berger; Sung Min Ha; Martin Rozycki; Marcel Prastawa; Esther Alberts; Jana Lipkova; John Freymann; Justin Kirby; Michel Bilello; Hassan Fathallah-Shaykh; Roland Wiest; Jan Kirschke; Benedikt Wiestler; Rivka Colen; Aikaterini Kotrotsou; Pamela Lamontagne; Daniel Marcus; Mikhail Milchenko; Arash Nazeri; Marc-Andre Weber; Abhishek Mahajan; Ujjwal Baid; Dongjin Kwon; Manu Agarwal; Mahbubul Alam; Alberto Albiol; Antonio Albiol; Varghese Alex; Tuan Anh Tran; Tal Arbel; Aaron Avery; Subhashis Banerjee; Thomas Batchelder; Kayhan Batmanghelich; Enzo Battistella; Martin Bendszus; Eze Benson; Jose Bernal; George Biros; Mariano Cabezas; Siddhartha Chandra; Yi-Ju Chang; Joseph Chazalon; Shengcong Chen; Wei Chen; Jefferson Chen; Kun Cheng; Meinel Christoph; Roger Chylla; Albert Clérigues; Anthony Costa; Xiaomeng Cui; Zhenzhen Dai; Lutao Dai; Eric Deutsch; Changxing Ding; Chao Dong; Wojciech Dudzik; Theo Estienne; Hyung Eun Shin; Richard Everson; Jonathan Fabrizio; Longwei Fang; Xue Feng; Lucas Fidon; Naomi Fridman; Huan Fu; David Fuentes; David G Gering; Yaozong Gao; Evan Gates; Amir Gholami; Mingming Gong; Sandra Gonzalez-Villa; J Gregory Pauloski; Yuanfang Guan; Sheng Guo; Sudeep Gupta; Meenakshi H Thakur; Klaus H Maier-Hein; Woo-Sup Han; Huiguang He; Aura Hernandez-Sabate; Evelyn Herrmann; Naveen Himthani; Winston Hsu; Cheyu Hsu; Xiaojun Hu; Xiaobin Hu; Yan Hu; Yifan Hu; Rui Hua |
| Title |
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge |
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Miscellaneous |
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2018 |
Publication |
Arxiv |
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BraTS; challenge; brain; tumor; segmentation; machine learning; glioma; glioblastoma; radiomics; survival; progression; RECIST |
| Abstract |
Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic core, active and non-enhancing core. This intrinsic heterogeneity is also portrayed in their radio-phenotype, as their sub-regions are depicted by varying intensity profiles disseminated across multiparametric magnetic resonance imaging (mpMRI) scans, reflecting varying biological properties. Their heterogeneous shape, extent, and location are some of the factors that make these tumors difficult to resect, and in some cases inoperable. The amount of resected tumor is a factor also considered in longitudinal scans, when evaluating the apparent tumor for potential diagnosis of progression. Furthermore, there is mounting evidence that accurate segmentation of the various tumor sub-regions can offer the basis for quantitative image analysis towards prediction of patient overall survival. This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e. 2012-2018. Specifically, we focus on i) evaluating segmentations of the various glioma sub-regions in preoperative mpMRI scans, ii) assessing potential tumor progression by virtue of longitudinal growth of tumor sub-regions, beyond use of the RECIST criteria, and iii) predicting the overall survival from pre-operative mpMRI scans of patients that undergone gross total resection. Finally, we investigate the challenge of identifying the best ML algorithms for each of these tasks, considering that apart from being diverse on each instance of the challenge, the multi-institutional mpMRI BraTS dataset has also been a continuously evolving/growing dataset. |
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ADAS; 600.118 |
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Admin @ si @ BRJ2018 |
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3252 |
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| Author |
Fadi Dornaika; Angel Sappa |
| Title |
Improving Appearance-Based 3D Face Tracking Using Sparse Stereo Data |
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Miscellaneous |
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2006 |
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International Conference on Computer Vision Theory and Applications, (2): 310–317 |
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ADAS |
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no |
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ADAS @ adas @ DoS2006a |
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636 |
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| Author |
M. Bressan; Jordi Vitria |
| Title |
Improving Naive Bayes using Class Condicitonal ICA. |
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Miscellaneous |
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2002 |
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Iberoamerican Conference on Artificial Intelligence IBERAMIA 2002. |
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Sevilla, Espanya |
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OR;MV |
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BCNPCL @ bcnpcl @ BrV2002e |
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305 |
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M. Bressan; Jordi Vitria |
| Title |
Improving Naive Bayes using Class Conditional ICA |
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Miscellaneous |
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2002 |
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F. Garijo, J. Riquelme, M. Toro, (Eds.), Advances in Artificial Intelligece–Iberamia, LNAI 2527: 1–10, Springer Verlag Series. |
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OR;MV |
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BCNPCL @ bcnpcl @ BrV2002d |
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278 |
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| Author |
Dani Rowe; Ignasi Rius; Jordi Gonzalez; Juan J. Villanueva |
| Title |
Improving Tracking by Handling Occlusions |
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Miscellaneous |
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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 @ ise @ RRG2005d |
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619 |
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| Author |
M. Bressan; Jordi Vitria |
| Title |
Independent Modes of Variation in Point Distribution Models |
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Miscellaneous |
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2001 |
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In C. Arcelli, L.P. Cordella, G. Sanniti di Baja (Eds.): Visual Form 2001 4tth International Workshop on Visual Visual Form 2001 4tth International Workshop on Visual Form, IWVF4, Proceedings, LNCS 2059, Springer Verlag, 123 |
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Capri, Italia |
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OR;MV |
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BCNPCL @ bcnpcl @ BVi2001 |
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80 |
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Oriol Ramos Terrades; Ernest Valveny |
| Title |
Indexing Technical Symbols Using Ridgelets Transform |
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Miscellaneous |
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2003 |
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Proceedings of the Fifth International Workshop on Graphics Recognition (GREC´03), 202–211 |
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DAG |
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DAG @ dag @ RaV2003c |
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405 |
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Oriol Ramos Terrades; Ernest Valveny |
| Title |
Indexing Technical Symbols Using Ridgelets Transform |
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Miscellaneous |
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2004 |
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Graphics Recognition: Recent Advances and Perspectives, J. Llados, Y.B. Kwon (Eds.), Lecture Notes in Computer Science, 3088:177–187, ISBN: 3–540–22478–5 |
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Springer-Verlag |
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DAG @ dag @ VaD2004c |
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503 |
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