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Author A. Pujol; Juan J. Villanueva edit  openurl
  Title A supervised Modification of the Hausdorff distance for visual shape classification Type Journal
  Year 2002 Publication (up) International Journal of Pattern Recognition and Artificial Intelligence Abbreviated Journal  
  Volume 16 Issue 3 Pages 349-359  
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  Abstract (IF: 0.359)  
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  Notes ISE Approved no  
  Call Number PuV2002 Serial 273  
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Author Josep Llados; Gemma Sanchez edit  openurl
  Title Graph Matching vs. Graph Parsing in Graphics Recognition: A Combined Approach Type Journal
  Year 2004 Publication (up) International Journal of Pattern Recognition and Artificial Intelligence Abbreviated Journal IJPRAI  
  Volume 18 Issue 3 Pages 455–473  
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  Notes DAG; IF: 0.588 Approved no  
  Call Number DAG @ dag @ LlS2004 Serial 445  
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Author Bogdan Raducanu; Jordi Vitria edit  openurl
  Title Face Recognition by Artificial Vision Systems: A Cognitive Perspective Type Journal
  Year 2008 Publication (up) International Journal of Pattern Recognition and Artificial Intelligence Abbreviated Journal IJPRAI  
  Volume 22 Issue 5 Pages 899–913  
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  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RaV2008b Serial 1007  
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Author Lluis Barcelo; X. Binefa edit  openurl
  Title Bayesian Video Mosaicing with moving objects Type Journal
  Year 2002 Publication (up) International Journal of Pattern Recognition and Artificial Intelligence, 16(3): 341–348 (IF: 0.359) Abbreviated Journal  
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  Notes Approved no  
  Call Number Admin @ si @ BaB2002 Serial 268  
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Author M. Gonzalez-Audicana; Xavier Otazu; O. Fors; A. Seco edit  url
openurl 
  Title Comparison between Mallats and the trous discrete wavelet transform based algorithms for the fusion of multispectral and panchromatic images Type Journal
  Year 2005 Publication (up) International Journal of Remote Sensing, 26(3):595–614 (IF: 0.925) Abbreviated Journal  
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  Notes CIC Approved no  
  Call Number CAT @ cat @ GOF2005 Serial 530  
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Author Aura Hernandez-Sabate; Meritxell Joanpere; Nuria Gorgorio; Lluis Albarracin edit   pdf
url  openurl
  Title Mathematics learning opportunities when playing a Tower Defense Game Type Journal
  Year 2015 Publication (up) International Journal of Serious Games Abbreviated Journal IJSG  
  Volume 2 Issue 4 Pages 57-71  
  Keywords Tower Defense game; learning opportunities; mathematics; problem solving; game design  
  Abstract A qualitative research study is presented herein with the purpose of identifying mathematics learning opportunities in students between 10 and 12 years old while playing a commercial version of a Tower Defense game. These learning opportunities are understood as mathematicisable moments of the game and involve the establishment of relationships between the game and mathematical problem solving. Based on the analysis of these mathematicisable moments, we conclude that the game can promote problem-solving processes and learning opportunities that can be associated with different mathematical contents that appears in mathematics curricula, thought it seems that teacher or new game elements might be needed to facilitate the processes.  
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  Notes ADAS; 600.076 Approved no  
  Call Number Admin @ si @ HJG2015 Serial 2730  
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Author Pau Rodriguez; Jordi Gonzalez; Josep M. Gonfaus; Xavier Roca edit   pdf
doi  openurl
  Title Integrating Vision and Language in Social Networks for Identifying Visual Patterns of Personality Traits Type Journal
  Year 2019 Publication (up) International Journal of Social Science and Humanity Abbreviated Journal IJSSH  
  Volume 9 Issue 1 Pages 6-12  
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  Abstract Social media, as a major platform for communication and information exchange, is a rich repository of the opinions and sentiments of 2.3 billion users about a vast spectrum of topics. In this sense, user text interactions are widely used to sense the whys of certain social user’s demands and cultural- driven interests. However, the knowledge embedded in the 1.8 billion pictures which are uploaded daily in public profiles has just started to be exploited. Following this trend on visual-based social analysis, we present a novel methodology based on neural networks to build a combined image-and-text based personality trait model, trained with images posted together with words found highly correlated to specific personality traits. So, the key contribution in this work is to explore whether OCEAN personality trait modeling can be addressed based on images, here called MindPics, appearing with certain tags with psychological insights. We found that there is a correlation between posted images and the personality estimated from their accompanying texts. Thus, the experimental results are consistent with previous cyber-psychology results based on texts, suggesting that images could also be used for personality estimation: classification results on some personality traits show that specific and characteristic visual patterns emerge, in essence representing abstract concepts. These results open new avenues of research for further refining the proposed personality model under the supervision of psychology experts, and to further substitute current textual personality questionnaires by image-based ones.  
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  Notes ISE; 600.119 Approved no  
  Call Number Admin @ si @ RGG2019 Serial 3414  
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Author Ernest Valveny; Philippe Dosch edit  openurl
  Title A general framework for the evaluation of symbol recognition methods Type Journal
  Year 2006 Publication (up) International Journal on Document Analysis and Recognition Abbreviated Journal  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ VaD2006 Serial 686  
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Author Josep Llados; Dorothea Blostein edit  openurl
  Title Special Issue on Graphics Recognition Type Journal
  Year 2007 Publication (up) International Journal on Document Analysis and Recognition Abbreviated Journal IJDAR  
  Volume 9 Issue 1 Pages 1–2  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ LlB2007 Serial 781  
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Author Ernest Valveny; Philippe Dosch; Adam Winstanley; Yu Zhou; Su Yang; Luo Yan; Liu Wenyin; Dave Elliman; Mathieu Nicolas Delalandre; Eric Trupin; Sebastien Adam; Jean-Marc Ogier edit  openurl
  Title A general framework for the evaluation of symbol recognition methods Type Journal
  Year 2006 Publication (up) International Journal on Document Analysis and Recognition (IJDAR), 9(1): 59–74 Abbreviated Journal  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ VDW2006 Serial 801  
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Author Ernest Valveny; Philippe Dosch edit  openurl
  Title A General Framework for the Evaluation of Symbol Recognition Methods Type Journal
  Year 2007 Publication (up) International Journal on Document Analysis and Recognition, vol. 9(1), pp 59–74 Abbreviated Journal  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ VaD2007 Serial 893  
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Author Jaume Amores; Petia Radeva edit  openurl
  Title Retrieval of IVUS Images Using Contextual Information and Elastic Matching Type Journal
  Year 2005 Publication (up) International Journal on Intelligent Systems, 20(5):541–560 (IF: 0.657) Abbreviated Journal  
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  Notes ADAS;MILAB Approved no  
  Call Number ADAS @ adas @ AmR2005a Serial 593  
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Author Petia Radeva; Jordi Vitria edit  openurl
  Title Corkinspect: Statistical Learning of Natural Material Type Journal
  Year 2004 Publication (up) Italian Beverage Technology, 13(38):11–18 Abbreviated Journal  
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  Notes OR;MILAB;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RaV2004b Serial 514  
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Author Lasse Martensson; Ekta Vats; Anders Hast; Alicia Fornes edit  url
openurl 
  Title In Search of the Scribe: Letter Spotting as a Tool for Identifying Scribes in Large Handwritten Text Corpora Type Journal
  Year 2019 Publication (up) Journal for Information Technology Studies as a Human Science Abbreviated Journal HUMAN IT  
  Volume 14 Issue 2 Pages 95-120  
  Keywords Scribal attribution/ writer identification; digital palaeography; word spotting; mediaeval charters; mediaeval manuscripts  
  Abstract In this article, a form of the so-called word spotting-method is used on a large set of handwritten documents in order to identify those that contain script of similar execution. The point of departure for the investigation is the mediaeval Swedish manuscript Cod. Holm. D 3. The main scribe of this manuscript has yet not been identified in other documents. The current attempt aims at localising other documents that display a large degree of similarity in the characteristics of the script, these being possible candidates for being executed by the same hand. For this purpose, the method of word spotting has been employed, focusing on individual letters, and therefore the process is referred to as letter spotting in the article. In this process, a set of ‘g’:s, ‘h’:s and ‘k’:s have been selected as templates, and then a search has been made for close matches among the mediaeval Swedish charters. The search resulted in a number of charters that displayed great similarities with the manuscript D 3. The used letter spotting method thus proofed to be a very efficient sorting tool localising similar script samples.  
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  Notes DAG; 600.097; 600.140; 600.121 Approved no  
  Call Number Admin @ si @ MVH2019 Serial 3234  
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Author Razieh Rastgoo; Kourosh Kiani; Sergio Escalera edit  url
doi  openurl
  Title Real-time Isolated Hand Sign Language RecognitioN Using Deep Networks and SVD Type Journal
  Year 2022 Publication (up) Journal of Ambient Intelligence and Humanized Computing Abbreviated Journal  
  Volume 13 Issue Pages 591–611  
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  Abstract One of the challenges in computer vision models, especially sign language, is real-time recognition. In this work, we present a simple yet low-complex and efficient model, comprising single shot detector, 2D convolutional neural network, singular value decomposition (SVD), and long short term memory, to real-time isolated hand sign language recognition (IHSLR) from RGB video. We employ the SVD method as an efficient, compact, and discriminative feature extractor from the estimated 3D hand keypoints coordinators. Despite the previous works that employ the estimated 3D hand keypoints coordinates as raw features, we propose a novel and revolutionary way to apply the SVD to the estimated 3D hand keypoints coordinates to get more discriminative features. SVD method is also applied to the geometric relations between the consecutive segments of each finger in each hand and also the angles between these sections. We perform a detailed analysis of recognition time and accuracy. One of our contributions is that this is the first time that the SVD method is applied to the hand pose parameters. Results on four datasets, RKS-PERSIANSIGN (99.5±0.04), First-Person (91±0.06), ASVID (93±0.05), and isoGD (86.1±0.04), confirm the efficiency of our method in both accuracy (mean+std) and time recognition. Furthermore, our model outperforms or gets competitive results with the state-of-the-art alternatives in IHSLR and hand action recognition.  
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  Notes HUPBA; no proj Approved no  
  Call Number Admin @ si @ RKE2022a Serial 3660  
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