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Author | Utkarsh Porwal; Alicia Fornes; Faisal Shafait (eds) | ||||
Title | Frontiers in Handwriting Recognition. International Conference on Frontiers in Handwriting Recognition. 18th International Conference, ICFHR 2022 | Type | Book Whole | ||
Year | 2022 | Publication | Frontiers in Handwriting Recognition. | Abbreviated Journal | |
Volume | 13639 | Issue | Pages | ||
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Address | ICFHR 2022, Hyderabad, India, December 4–7, 2022 | ||||
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Publisher | Springer | Place of Publication | Editor | Utkarsh Porwal; Alicia Fornes; Faisal Shafait | |
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Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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ISSN | ISBN | 978-3-031-21648-0 | Medium | ||
Area | Expedition | Conference | ICFHR | ||
Notes | DAG | Approved | no | ||
Call Number | Admin @ si @ PFS2022 | Serial | 3809 | ||
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Author | Guillermo Torres; Debora Gil; Antoni Rosell; S. Mena; Carles Sanchez | ||||
Title | Virtual Radiomics Biopsy for the Histological Diagnosis of Pulmonary Nodules – Intermediate Results of the RadioLung Project | Type | Journal Article | ||
Year | 2023 | Publication | International Journal of Computer Assisted Radiology and Surgery | Abbreviated Journal | IJCARS |
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Notes | IAM | Approved | no | ||
Call Number | Admin @ si @ TGM2023 | Serial | 3830 | ||
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Author | Juan Borrego-Carazo; Carles Sanchez; David Castells; Jordi Carrabina; Debora Gil | ||||
Title | A benchmark for the evaluation of computational methods for bronchoscopic navigation | Type | Journal Article | ||
Year | 2022 | Publication | International Journal of Computer Assisted Radiology and Surgery | Abbreviated Journal | IJCARS |
Volume | 17 | Issue | 1 | Pages | |
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Notes | IAM | Approved | no | ||
Call Number | Admin @ si @ BSC2022 | Serial | 3832 | ||
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Author | Antoni Rosell; Sonia Baeza; S. Garcia-Reina; JL. Mate; Ignasi Guasch; I. Nogueira; I. Garcia-Olive; Guillermo Torres; Carles Sanchez; Debora Gil | ||||
Title | EP01.05-001 Radiomics to Increase the Effectiveness of Lung Cancer Screening Programs. Radiolung Preliminary Results | Type | Journal Article | ||
Year | 2022 | Publication | Journal of Thoracic Oncology | Abbreviated Journal | JTO |
Volume | 17 | Issue | 9 | Pages | S182 |
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Notes | IAM | Approved | no | ||
Call Number | Admin @ si @ RBG2022b | Serial | 3834 | ||
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Author | Antoni Rosell; Sonia Baeza; S. Garcia-Reina; JL. Mate; Ignasi Guasch; I. Nogueira; I. Garcia-Olive; Guillermo Torres; Carles Sanchez; Debora Gil | ||||
Title | Radiomics to increase the effectiveness of lung cancer screening programs. Radiolung preliminary results. | Type | Journal Article | ||
Year | 2022 | Publication | European Respiratory Journal | Abbreviated Journal | ERJ |
Volume | 60 | Issue | 66 | Pages | |
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Notes | IAM | Approved | no | ||
Call Number | Admin @ si @ RBG2022c | Serial | 3835 | ||
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Author | Mickael Coustaty; Alicia Fornes | ||||
Title | Document Analysis and Recognition – ICDAR 2023 Workshops | Type | Book Whole | ||
Year | 2023 | Publication | Document Analysis and Recognition – ICDAR 2023 Workshops | Abbreviated Journal | |
Volume | 14194 | Issue | 2 | Pages | |
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Address | San Jose; USA; August 2023 | ||||
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Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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Area | Expedition | Conference | ICDAR | ||
Notes | DAG | Approved | no | ||
Call Number | Admin @ si @ CoF2023 | Serial | 3852 | ||
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Author | Zahra Raisi-Estabragh; Carlos Martin-Isla; Louise Nissen; Liliana Szabo; Victor M. Campello; Sergio Escalera; Simon Winther; Morten Bottcher; Karim Lekadir; and Steffen E. Petersen | ||||
Title | Radiomics analysis enhances the diagnostic performance of CMR stress perfusion: a proof-of-concept study using the Dan-NICAD dataset | Type | Journal Article | ||
Year | 2023 | Publication | Frontiers in Cardiovascular Medicine | Abbreviated Journal | FCM |
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Notes | HUPBA | Approved | no | ||
Call Number | Admin @ si @ RMN2023 | Serial | 3937 | ||
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Author | Pau Cano; Debora Gil; Eva Musulen | ||||
Title | Towards automatic detection of helicobacter pylori in histological samples of gastric tissue | Type | Conference Article | ||
Year | 2023 | Publication | IEEE International Symposium on Biomedical Imaging | Abbreviated Journal | |
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Address | Cartagena de Indias; Colombia; April 2023 | ||||
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Area | Expedition | Conference | ISBI | ||
Notes | IAM | Approved | no | ||
Call Number | Admin @ si @ CGM2023 | Serial | 3953 | ||
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Author | Jun Wan; Guodong Guo; Sergio Escalera; Hugo Jair Escalante; Stan Z Li | ||||
Title | Advances in Face Presentation Attack Detection | Type | Book Whole | ||
Year | 2023 | Publication | Advances in Face Presentation Attack Detection | Abbreviated Journal | |
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Notes | HUPBA | Approved | no | ||
Call Number | Admin @ si @ WGE2023a | Serial | 3955 | ||
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Author | Bogdan Raducanu; Jordi Vitria; Ales Leonardis | ||||
Title | Online pattern recognition and machine learning techniques for computer-vision: Theory and applications | Type | Journal Article | ||
Year | 2010 | Publication | Image and Vision Computing | Abbreviated Journal | IMAVIS |
Volume | 28 | Issue | 7 | Pages | 1063–1064 |
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(Editorial for the Special Issue on Online pattern recognition and machine learning techniques)
In real life, visual learning is supposed to be a continuous process. This paradigm has found its way also in artificial vision systems. There is an increasing trend in pattern recognition represented by online learning approaches, which aims at continuously updating the data representation when new information arrives. Starting with a minimal dataset, the initial knowledge is expanded by incorporating incoming instances, which may have not been previously available or foreseen at the system’s design stage. An interesting characteristic of this strategy is that the train and test phases take place simultaneously. Given the increasing interest in this subject, the aim of this special issue is to be a landmark event in the development of online learning techniques and their applications with the hope that it will capture the interest of a wider audience and will attract even more researchers. We received 19 contributions, of which 9 have been accepted for publication, after having been subjected to usual peer review process. |
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Publisher | Elsevier | Place of Publication | Editor | ||
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ISSN | 0262-8856 | ISBN | Medium | ||
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Notes | OR;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ RVL2010 | Serial | 1280 | ||
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Author | Sergio Escalera; Oriol Pujol; Petia Radeva | ||||
Title | Error-Correcting Output Codes Library | Type | Journal Article | ||
Year | 2010 | Publication | Journal of Machine Learning Research | Abbreviated Journal | JMLR |
Volume | 11 | Issue | Pages | 661-664 | |
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(Feb):661−664
In this paper, we present an open source Error-Correcting Output Codes (ECOC) library. The ECOC framework is a powerful tool to deal with multi-class categorization problems. This library contains both state-of-the-art coding (one-versus-one, one-versus-all, dense random, sparse random, DECOC, forest-ECOC, and ECOC-ONE) and decoding designs (hamming, euclidean, inverse hamming, laplacian, β-density, attenuated, loss-based, probabilistic kernel-based, and loss-weighted) with the parameters defined by the authors, as well as the option to include your own coding, decoding, and base classifier. |
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ISSN | 1532-4435 | ISBN | Medium | ||
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Notes | MILAB;HUPBA | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ EPR2010c | Serial | 1286 | ||
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Author | A. Pujol; Juan J. Villanueva | ||||
Title | A supervised Modification of the Hausdorff distance for visual shape classification | Type | Journal | ||
Year | 2002 | Publication | International Journal of Pattern Recognition and Artificial Intelligence | Abbreviated Journal | |
Volume | 16 | Issue | 3 | Pages | 349-359 |
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(IF: 0.359) | ||||
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Notes | ISE | Approved | no | ||
Call Number | PuV2002 | Serial | 273 | ||
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Author | Partha Pratim Roy; Umapada Pal; Josep Llados | ||||
Title | Text line extraction in graphical documents using background and foreground | Type | Journal Article | ||
Year | 2012 | Publication | International Journal on Document Analysis and Recognition | Abbreviated Journal | IJDAR |
Volume | 15 | Issue | 3 | Pages | 227-241 |
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0,405 JCR
In graphical documents (e.g., maps, engineering drawings), artistic documents etc., the text lines are annotated in multiple orientations or curvilinear way to illustrate different locations or symbols. For the optical character recognition of such documents, individual text lines from the documents need to be extracted. In this paper, we propose a novel method to segment such text lines and the method is based on the foreground and background information of the text components. To effectively utilize the background information, a water reservoir concept is used here. In the proposed scheme, at first, individual components are detected and grouped into character clusters in a hierarchical way using size and positional information. Next, the clusters are extended in two extreme sides to determine potential candidate regions. Finally, with the help of these candidate regions, individual lines are extracted. The experimental results are presented on different datasets of graphical documents, camera-based warped documents, noisy images containing seals, etc. The results demonstrate that our approach is robust and invariant to size and orientation of the text lines present in the document. |
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ISSN | 1433-2833 | ISBN | Medium | ||
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Notes | DAG | Approved | no | ||
Call Number | Admin @ si @ RPL2012b | Serial | 2134 | ||
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Author | Alicia Fornes; Anjan Dutta; Albert Gordo; Josep Llados | ||||
Title | CVC-MUSCIMA: A Ground-Truth of Handwritten Music Score Images for Writer Identification and Staff Removal | Type | Journal Article | ||
Year | 2012 | Publication | International Journal on Document Analysis and Recognition | Abbreviated Journal | IJDAR |
Volume | 15 | Issue | 3 | Pages | 243-251 |
Keywords | Music scores; Handwritten documents; Writer identification; Staff removal; Performance evaluation; Graphics recognition; Ground truths | ||||
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0,405JCR
The analysis of music scores has been an active research field in the last decades. However, there are no publicly available databases of handwritten music scores for the research community. In this paper we present the CVC-MUSCIMA database and ground-truth of handwritten music score images. The dataset consists of 1,000 music sheets written by 50 different musicians. It has been especially designed for writer identification and staff removal tasks. In addition to the description of the dataset, ground-truth, partitioning and evaluation metrics, we also provide some base-line results for easing the comparison between different approaches. |
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ISSN | 1433-2833 | ISBN | Medium | ||
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Notes | DAG | Approved | no | ||
Call Number | Admin @ si @ FDG2012 | Serial | 2129 | ||
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Author | Josep Llados; Marçal Rusiñol; Alicia Fornes; David Fernandez; Anjan Dutta | ||||
Title | On the Influence of Word Representations for Handwritten Word Spotting in Historical Documents | Type | Journal Article | ||
Year | 2012 | Publication | International Journal of Pattern Recognition and Artificial Intelligence | Abbreviated Journal | IJPRAI |
Volume | 26 | Issue | 5 | Pages | 1263002-126027 |
Keywords | Handwriting recognition; word spotting; historical documents; feature representation; shape descriptors Read More: http://www.worldscientific.com/doi/abs/10.1142/S0218001412630025 | ||||
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0,624 JCR
Word spotting is the process of retrieving all instances of a queried keyword from a digital library of document images. In this paper we evaluate the performance of different word descriptors to assess the advantages and disadvantages of statistical and structural models in a framework of query-by-example word spotting in historical documents. We compare four word representation models, namely sequence alignment using DTW as a baseline reference, a bag of visual words approach as statistical model, a pseudo-structural model based on a Loci features representation, and a structural approach where words are represented by graphs. The four approaches have been tested with two collections of historical data: the George Washington database and the marriage records from the Barcelona Cathedral. We experimentally demonstrate that statistical representations generally give a better performance, however it cannot be neglected that large descriptors are difficult to be implemented in a retrieval scenario where word spotting requires the indexation of data with million word images. |
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Notes | DAG | Approved | no | ||
Call Number | Admin @ si @ LRF2012 | Serial | 2128 | ||
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