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Author Cristina Cañero; Petia Radeva; M. Gomez; J. Mauri; E. Fernandez-Nofrerias; Oriol Rodriguez-Leor; C. Julia edit  openurl
  Title Modelo experimental para la reconstruccion tridimensional de las arterias coronarias a partir de imagenes de coronariografia Type Journal
  Year 2002 Publication (up) Abbreviated Journal  
  Volume Issue Pages  
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  Abstract  
  Address Madrid  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes MILAB Approved no  
  Call Number BCNPCL @ bcnpcl @ GMF2002e Serial 434  
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Author Mikhail Mozerov; V. Kober; I.A. Ovseyevich edit  openurl
  Title Robust Dynamic Programming Algorithm for Motion Detection and Estimation Type Journal
  Year 2007 Publication (up) Abbreviated Journal  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes ISE Approved no  
  Call Number ISE @ ise @ MKO2007 Serial 810  
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Author V. Kober; Mikhail Mozerov; Josue Albarez; I.A. Ovseyevich edit  openurl
  Title Algorithms for Impulse Noise Renoval from Corrupted Color Images Type Journal
  Year 2007 Publication (up) Abbreviated Journal  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes ISE Approved no  
  Call Number ISE @ ise @ KMA2007 Serial 811  
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Author Gemma Sanchez; Alicia Fornes; Joan Mas; Josep Llados edit  openurl
  Title Computer Vision Tools for Visually Impaired Children Learning Type Journal
  Year 2007 Publication (up) Abbreviated Journal  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes DAG Approved no  
  Call Number DAG @ dag @ SFM2007a Serial 891  
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Author Gemma Sanchez; Alicia Fornes; Joan Mas; Josep Llados edit  openurl
  Title Computer Vision Tools for Visually Impaired Children Learning Type Journal
  Year 2007 Publication (up) Abbreviated Journal  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes DAG Approved no  
  Call Number DAG @ dag @ SFM2007b Serial 892  
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Author Sergio Escalera; Oriol Pujol; Petia Radeva edit  openurl
  Title Boosted Landmarks of Contextual Descriptors and Forest-ECOC: a Novel Framework to Detect and Classify Objects in Cluttered Scenes Type Journal
  Year 2007 Publication (up) Abbreviated Journal  
  Volume Issue Pages  
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  Area Expedition Conference  
  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ EPR2007c Serial 907  
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Author Carles Fernandez; Xavier Roca; Jordi Gonzalez edit  openurl
  Title Providing Automatic Multilingual Text Generation to Artificial Cognitive Systems Type Journal
  Year 2008 Publication (up) Abbreviated Journal  
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  Area Expedition Conference  
  Notes ISE Approved no  
  Call Number ISE @ ise @ FRG2008 Serial 1021  
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Author Xavier Otazu; Maria Vanrell edit  openurl
  Title Several lightness induction effects with a computational multiresolution wavelet framework Type Journal
  Year 2006 Publication (up) 29th European Conference on Visual Perception (ECVP’06), Perception Suppl s, 32: 56–56 Abbreviated Journal  
  Volume Issue Pages  
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  Abstract  
  Address Saint-Petersburg (Russia)  
  Corporate Author Thesis  
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  Series Editor Series Title Abbreviated Series Title  
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  Notes CIC Approved no  
  Call Number CAT @ cat @ OtV2006 Serial 659  
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Author S. Chanda; Umapada Pal; Oriol Ramos Terrades edit  doi
openurl 
  Title Word-Wise Thai and Roman Script Identification Type Journal
  Year 2009 Publication (up) ACM Transactions on Asian Language Information Processing Abbreviated Journal TALIP  
  Volume 8 Issue 3 Pages 1-21  
  Keywords  
  Abstract In some Thai documents, a single text line of a printed document page may contain words of both Thai and Roman scripts. For the Optical Character Recognition (OCR) of such a document page it is better to identify, at first, Thai and Roman script portions and then to use individual OCR systems of the respective scripts on these identified portions. In this article, an SVM-based method is proposed for identification of word-wise printed Roman and Thai scripts from a single line of a document page. Here, at first, the document is segmented into lines and then lines are segmented into character groups (words). In the proposed scheme, we identify the script of a character group combining different character features obtained from structural shape, profile behavior, component overlapping information, topological properties, and water reservoir concept, etc. Based on the experiment on 10,000 data (words) we obtained 99.62% script identification accuracy from the proposed scheme.  
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  Series Volume Series Issue Edition  
  ISSN 1530-0226 ISBN Medium  
  Area Expedition Conference  
  Notes DAG Approved no  
  Call Number Admin @ si @ CPR2009f Serial 1869  
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Author Xiangyang Li; Luis Herranz; Shuqiang Jiang edit   pdf
url  openurl
  Title Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition Type Journal
  Year 2020 Publication (up) ACM Transactions on Data Science Abbreviated Journal ACM  
  Volume Issue Pages  
  Keywords  
  Abstract In recent years, convolutional neural networks (CNNs) have achieved impressive performance for various visual recognition scenarios. CNNs trained on large labeled datasets can not only obtain significant performance on most challenging benchmarks but also provide powerful representations, which can be used to a wide range of other tasks. However, the requirement of massive amounts of data to train deep neural networks is a major drawback of these models, as the data available is usually limited or imbalanced. Fine-tuning (FT) is an effective way to transfer knowledge learned in a source dataset to a target task. In this paper, we introduce and systematically investigate several factors that influence the performance of fine-tuning for visual recognition. These factors include parameters for the retraining procedure (e.g., the initial learning rate of fine-tuning), the distribution of the source and target data (e.g., the number of categories in the source dataset, the distance between the source and target datasets) and so on. We quantitatively and qualitatively analyze these factors, evaluate their influence, and present many empirical observations. The results reveal insights into what fine-tuning changes CNN parameters and provide useful and evidence-backed intuitions about how to implement fine-tuning for computer vision tasks.  
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  Notes LAMP; 600.141; 600.120 Approved no  
  Call Number Admin @ si @ LHJ2020 Serial 3423  
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Author Patricia Suarez; Henry Velesaca; Dario Carpio; Angel Sappa edit  url
openurl 
  Title Corn kernel classification from few training samples Type Journal
  Year 2023 Publication (up) Artificial Intelligence in Agriculture Abbreviated Journal  
  Volume 9 Issue Pages 89-99  
  Keywords  
  Abstract This article presents an efficient approach to classify a set of corn kernels in contact, which may contain good, or defective kernels along with impurities. The proposed approach consists of two stages, the first one is a next-generation segmentation network, trained by using a set of synthesized images that is applied to divide the given image into a set of individual instances. An ad-hoc lightweight CNN architecture is then proposed to classify each instance into one of three categories (ie good, defective, and impurities). The segmentation network is trained using a strategy that avoids the time-consuming and human-error-prone task of manual data annotation. Regarding the classification stage, the proposed ad-hoc network is designed with only a few sets of layers to result in a lightweight architecture capable of being used in integrated solutions. Experimental results and comparisons with previous approaches showing both the improvement in accuracy and the reduction in time are provided. Finally, the segmentation and classification approach proposed can be easily adapted for use with other cereal types.  
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  Notes MSIAU Approved no  
  Call Number Admin @ si @ SVC2023 Serial 3892  
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Author O. Fors; A. Richichi; Xavier Otazu; J. Nuñez edit  openurl
  Title A new wavelet-based approach for the automated treatment of large sets of lunar occultation data Type Journal
  Year 2008 Publication (up) Astronomy and Astrohysics Abbreviated Journal  
  Volume 480 Issue Pages 297–304  
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  Notes CIC Approved no  
  Call Number CAT @ cat @ FRO2008 Serial 934  
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Author A. Richichi; O. Fors; M.T. Merino; Xavier Otazu; J. Nuñez; A. Prades; U. Thiele; D. Perez-Ramirez; F.J. Montojo edit  openurl
  Title The Calar Alto lunar occultation program: update and new results Type Journal
  Year 2006 Publication (up) Astronomy and Astrophysics (Section ’Stellar structure and evolution’), 445:1081–1088 Abbreviated Journal  
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  Notes CIC Approved no  
  Call Number CAT @ cat @ RFM2006a Serial 589  
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Author Mireia Sole; Joan Blanco; Debora Gil; G. Fonseka; Richard Frodsham; Francesca Vidal; Zaida Sarrate edit   pdf
isbn  openurl
  Title Noves perspectives en l estudi de la territorialitat cromosomica de cel·lules germinals masculines: estudis tridimensionals Type Journal
  Year 2017 Publication (up) Biologia de la Reproduccio Abbreviated Journal JBR  
  Volume 15 Issue Pages 73-78  
  Keywords  
  Abstract In somatic cells, chromosomes occupy specific nuclear regions called chromosome territories which are involved in the
maintenance and regulation of the genome. Preliminary data in male germ cells also suggest the importance of chromosome
territoriality in cell functionality. Nevertheless, the specific characteristics of testicular tissue (presence of different
cell types with different morphological characteristics, in different stages of development and with different ploidy)
makes difficult to achieve conclusive results. In this study we have developed a methodology to approach the threedimensional
study of all chromosome territories in male germ cells from C57BL/6J mice (Mus musculus). The method
includes the following steps: i) Optimized cell fixation to obtain an optimal preservation of the three-dimensionality cell
morphology, ii) Chromosome identification by FISH (Chromoprobe Multiprobe® OctoChrome™ Murine System; Cytocell)
and confocal microscopy (TCS-SP5, Leica Microsystems), iii) Cell type identification by immunofluorescence
iv) Image analysis using Matlab scripts, v) Numerical data extraction related to chromosome features, chromosome
radial position and chromosome relative position. This methodology allows the unequivocally identification and the
analysis of the chromosome territories of all spermatogenic stages. Results will provide information about the features
that determine chromosomal position, preferred associations between chromosomes, and the relationship between chromosome
positioning and genome regulation.
 
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  ISSN ISBN 978-84-697-3767-5 Medium  
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  Notes IAM; 600.096; 600.145 Approved no  
  Call Number Admin @ si @ SBG2017c Serial 2961  
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Author Robert Benavente; Maria Vanrell; Ramon Baldrich edit  url
openurl 
  Title A data set for fuzzy colour naming Type Journal
  Year 2006 Publication (up) Color Research & Application, 31(1):48–56 Abbreviated Journal  
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  Area Expedition Conference  
  Notes CIC Approved no  
  Call Number CAT @ cat @ BVB2006 Serial 590  
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