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Author Fernando Vilariño edit  openurl
  Title (up) Public Libraries Exploring how technology transforms the cultural experience of people Type Conference Article
  Year 2019 Publication Workshop on Social Impact of AI. Open Living Lab Days Conference. Abbreviated Journal  
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  Address Thessaloniki; Grecia; September 2019  
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  Area Expedition Conference  
  Notes MV; DAG; 600.140; 600.121;SIAI Approved no  
  Call Number Admin @ si @ Vil2019b Serial 3458  
Permanent link to this record
 
 
Author Matthias S. Keil; Jordi Vitria edit  openurl
  Title (up) Pushing it to the Limit: Adaptation with Dynamically Switching Gain Control Type Journal
  Year 2007 Publication EURASIP Journal on Advances in Signal Processing, Vol 2007, Article ID 51684, 10 pages, doi: 10.1155/2007/51684 Abbreviated Journal  
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  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ KeV2007 Serial 794  
Permanent link to this record
 
 
Author Anjan Dutta; Pau Riba; Josep Llados; Alicia Fornes edit   pdf
openurl 
  Title (up) Pyramidal Stochastic Graphlet Embedding for Document Pattern Classification Type Conference Article
  Year 2017 Publication 14th International Conference on Document Analysis and Recognition Abbreviated Journal  
  Volume Issue Pages 33-38  
  Keywords graph embedding; hierarchical graph representation; graph clustering; stochastic graphlet embedding; graph classification  
  Abstract Document pattern classification methods using graphs have received a lot of attention because of its robust representation paradigm and rich theoretical background. However, the way of preserving and the process for delineating documents with graphs introduce noise in the rendition of underlying data, which creates instability in the graph representation. To deal with such unreliability in representation, in this paper, we propose Pyramidal Stochastic Graphlet Embedding (PSGE).
Given a graph representing a document pattern, our method first computes a graph pyramid by successively reducing the base graph. Once the graph pyramid is computed, we apply Stochastic Graphlet Embedding (SGE) for each level of the pyramid and combine their embedded representation to obtain a global delineation of the original graph. The consideration of pyramid of graphs rather than just a base graph extends the representational power of the graph embedding, which reduces the instability caused due to noise and distortion. When plugged with support
vector machine, our proposed PSGE has outperformed the state-of-the-art results in recognition of handwritten words as well as graphical symbols		  
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  Area Expedition Conference ICDAR  
  Notes DAG; 600.097; 601.302; 600.121 Approved no  
  Call Number Admin @ si @ DRL2017 Serial 3054  
Permanent link to this record
 
 
Author Fernando Vilariño; Gerard Lacey edit  openurl
  Title (up) QUALITY ASSESSMENT IN COLONOSCOPY New challenges through computer vision-based systems Type Conference Article
  Year 2009 Publication in Proc. 3rd International Conference on Biomedical Electronics and Devices Abbreviated Journal  
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  Area 800 Expedition Conference  
  Notes MV;SIAI Approved no  
  Call Number fernando @ fernando @ Serial 2430  
Permanent link to this record
 
 
Author Hanne Kause; Patricia Marquez; Andrea Fuster; Aura Hernandez-Sabate; Luc Florack; Debora Gil; Hans van Assen edit  openurl
  Title (up) Quality Assessment of Optical Flow in Tagging MRI Type Conference Article
  Year 2015 Publication 5th Dutch Bio-Medical Engineering Conference BME2015 Abbreviated Journal  
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  Address The Netherlands; January 2015  
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  Area Expedition Conference BME  
  Notes IAM; ADAS; 600.076; 600.075 Approved no  
  Call Number Admin @ si @ KMF2015 Serial 2616  
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Author Daniel Ponsa; Robert Benavente; Felipe Lumbreras; Judit Martinez; Xavier Roca edit  doi
openurl 
  Title (up) Quality control of safety belts by machine vision inspection for real-time production Type Journal Article
  Year 2003 Publication Optical Engineering (IF: 0.877) Abbreviated Journal  
  Volume 42 Issue 4 Pages 1114-1120  
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  Publisher SPIE Place of Publication Editor  
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  Notes ADAS;ISE;CIC Approved no  
  Call Number ADAS @ adas @ PRL2003 Serial 399  
Permanent link to this record
 
 
Author Maria Salamo; Sergio Escalera; Petia Radeva edit  doi
isbn  openurl
  Title (up) Quality Enhancement based on Reinforcement Learning and Feature Weighting for a Critiquing-Based Recommender Type Conference Article
  Year 2009 Publication 8th International Conference on Case-Based Reasoning Abbreviated Journal  
  Volume 5650 Issue Pages 298–312  
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  Abstract Personalizing the product recommendation task is a major focus of research in the area of conversational recommender systems. Conversational case-based recommender systems help users to navigate through product spaces, alternatively making product suggestions and eliciting users feedback. Critiquing is a common form of feedback and incremental critiquing-based recommender system has shown its efficiency to personalize products based primarily on a quality measure. This quality measure influences the recommendation process and it is obtained by the combination of compatibility and similarity scores. In this paper, we describe new compatibility strategies whose basis is on reinforcement learning and a new feature weighting technique which is based on the user’s history of critiques. Moreover, we show that our methodology can significantly improve recommendation efficiency in comparison with the state-of-the-art approaches.  
  Address Seattle, USA  
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  Publisher Springer Berlin Heidelberg Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN 0302-9743 ISBN 978-3-642-02998-1 Medium  
  Area Expedition Conference ICCBR  
  Notes HuPBA; MILAB Approved no  
  Call Number BCNPCL @ bcnpcl @ SER2009 Serial 1187  
Permanent link to this record
 
 
Author Mirko Arnold; Stephan Ameling; Anarta Ghosh; Gerard Lacey edit  doi
openurl 
  Title (up) Quality Improvement of Endoscopy Videos Type Conference Article
  Year 2011 Publication Proceedings of the 8th IASTED International Conference on Biomedical Engineering Abbreviated Journal  
  Volume 723 Issue Pages  
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  Area 800 Expedition Conference  
  Notes MV Approved no  
  Call Number fernando @ fernando @ Serial 2426  
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Author F. Moreso; D. Seron; Jordi Vitria; J.M. Grinyo; F.M. Colome-Serra; N. Pares; J.R. Serra edit  openurl
  Title (up) Quantification of Interstitial Chronic Renal Damage by means of Texture Analysis. Type Journal Article
  Year 1994 Publication Kidney International Abbreviated Journal  
  Volume 46 Issue 6 Pages 1721-1727  
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  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ MSV1994 Serial 113  
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Author Alvaro Cepero; Albert Clapes; Sergio Escalera edit   pdf
openurl 
  Title (up) Quantitative analysis of non-verbal communication for competence analysis Type Conference Article
  Year 2013 Publication 16th Catalan Conference on Artificial Intelligence Abbreviated Journal  
  Volume 256 Issue Pages 105-114  
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  Address Vic; October 2013  
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  Area Expedition Conference CCIA  
  Notes HUPBA;MILAB Approved no  
  Call Number Admin @ si @ CCE2013 Serial 2324  
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Author Carles Sanchez; Debora Gil; R. Tazi; Jorge Bernal; Y. Ruiz; L. Planas; F. Javier Sanchez; Antoni Rosell edit  openurl
  Title (up) Quasi-real time digital assessment of Central Airway Obstruction Type Conference Article
  Year 2015 Publication 3rd European congress for bronchology and interventional pulmonology ECBIP2015 Abbreviated Journal  
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  Address Barcelona; Spain; April 2015  
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  Area Expedition Conference ECBIP  
  Notes IAM; MV; 600.075 Approved no  
  Call Number SGT2015 Serial 2612  
Permanent link to this record
 
 
Author Suman Ghosh; Ernest Valveny edit   pdf
url  doi
openurl 
  Title (up) Query by String word spotting based on character bi-gram indexing Type Conference Article
  Year 2015 Publication 13th International Conference on Document Analysis and Recognition ICDAR2015 Abbreviated Journal  
  Volume Issue Pages 881-885  
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  Abstract In this paper we propose a segmentation-free query by string word spotting method. Both the documents and query strings are encoded using a recently proposed word representa- tion that projects images and strings into a common atribute space based on a pyramidal histogram of characters(PHOC). These attribute models are learned using linear SVMs over the Fisher Vector representation of the images along with the PHOC labels of the corresponding strings. In order to search through the whole page, document regions are indexed per character bi- gram using a similar attribute representation. On top of that, we propose an integral image representation of the document using a simplified version of the attribute model for efficient computation. Finally we introduce a re-ranking step in order to boost retrieval performance. We show state-of-the-art results for segmentation-free query by string word spotting in single-writer and multi-writer standard datasets  
  Address Nancy; France; August 2015  
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  Notes DAG; 600.077 Approved no  
  Call Number Admin @ si @ GhV2015a Serial 2715  
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Author Partha Pratim Roy; Umapada Pal; Josep Llados edit  doi
isbn  openurl
  Title (up) Query Driven Word Retrieval in Graphical Documents Type Conference Article
  Year 2010 Publication 9th IAPR International Workshop on Document Analysis Systems Abbreviated Journal  
  Volume Issue Pages 191–198  
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  Abstract In this paper, we present an approach towards the retrieval of words from graphical document images. In graphical documents, due to presence of multi-oriented characters in non-structured layout, word indexing is a challenging task. The proposed approach uses recognition results of individual components to form character pairs with the neighboring components. An indexing scheme is designed to store the spatial description of components and to access them efficiently. Given a query text word (ascii/unicode format), the character pairs present in it are searched in the document. Next the retrieved character pairs are linked sequentially to form character string. Dynamic programming is applied to find different instances of query words. A string edit distance is used here to match the query word as the objective function. Recognition of multi-scale and multi-oriented character component is done using Support Vector Machine classifier. To consider multi-oriented character strings the features used in the SVM are invariant to character orientation. Experimental results show that the method is efficient to locate a query word from multi-oriented text in graphical documents.  
  Address Boston; USA  
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  ISSN ISBN 978-1-60558-773-8 Medium  
  Area Expedition Conference DAS  
  Notes DAG Approved no  
  Call Number DAG @ dag @ RPL2010b Serial 1433  
Permanent link to this record
 
 
Author Estefania Talavera; Mariella Dimiccoli; Marc Bolaños; Maedeh Aghaei; Petia Radeva edit  doi
isbn  openurl
  Title (up) R-clustering for egocentric video segmentation Type Conference Article
  Year 2015 Publication Pattern Recognition and Image Analysis, Proceedings of 7th Iberian Conference , ibPRIA 2015 Abbreviated Journal  
  Volume 9117 Issue Pages 327-336  
  Keywords Temporal video segmentation; Egocentric videos; Clustering  
  Abstract In this paper, we present a new method for egocentric video temporal segmentation based on integrating a statistical mean change detector and agglomerative clustering(AC) within an energy-minimization framework. Given the tendency of most AC methods to oversegment video sequences when clustering their frames, we combine the clustering with a concept drift detection technique (ADWIN) that has rigorous guarantee of performances. ADWIN serves as a statistical upper bound for the clustering-based video segmentation. We integrate both techniques in an energy-minimization framework that serves to disambiguate the decision of both techniques and to complete the segmentation taking into account the temporal continuity of video frames descriptors. We present experiments over egocentric sets of more than 13.000 images acquired with different wearable cameras, showing that our method outperforms state-of-the-art clustering methods.  
  Address Santiago de Compostela; España; June 2015  
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  Publisher Springer International Publishing Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN 0302-9743 ISBN 978-3-319-19389-2 Medium  
  Area Expedition Conference IbPRIA  
  Notes MILAB Approved no  
  Call Number Admin @ si @ TDB2015 Serial 2597  
Permanent link to this record
 
 
Author Suman Ghosh; Ernest Valveny edit   pdf
doi  openurl
  Title (up) R-PHOC: Segmentation-Free Word Spotting using CNN Type Conference Article
  Year 2017 Publication 14th International Conference on Document Analysis and Recognition Abbreviated Journal  
  Volume Issue Pages  
  Keywords Convolutional neural network; Image segmentation; Artificial neural network; Nearest neighbor search  
  Abstract arXiv:1707.01294
This paper proposes a region based convolutional neural network for segmentation-free word spotting. Our network takes as input an image and a set of word candidate bound- ing boxes and embeds all bounding boxes into an embedding space, where word spotting can be casted as a simple nearest neighbour search between the query representation and each of the candidate bounding boxes. We make use of PHOC embedding as it has previously achieved significant success in segmentation- based word spotting. Word candidates are generated using a simple procedure based on grouping connected components using some spatial constraints. Experiments show that R-PHOC which operates on images directly can improve the current state-of- the-art in the standard GW dataset and performs as good as PHOCNET in some cases designed for segmentation based word spotting.		  
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  Area Expedition Conference ICDAR  
  Notes DAG; 600.121 Approved no  
  Call Number Admin @ si @ GhV2017a Serial 3079  
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