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Author |
A. Pujol; Javier Varona; Joan Serrat |
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Title |
A machine vision system for the inspection of industrial sieves. |
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1997 |
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(SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis |
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ADAS |
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ADAS @ adas @ PVS1997 |
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33 |
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Author |
Xavier Roca; X. Binefa; Jordi Vitria |
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Title |
A New Accomodation Algorithm for a Microscopy Environment. |
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Conference Article |
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1997 |
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(SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis |
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66-67 |
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OR;ISE;MV |
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no |
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BCNPCL @ bcnpcl @ RBV1997 |
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37 |
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Author |
Javier Varona; Juan J. Villanueva |
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Title |
Neural Networks for Early Vision. |
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Conference Article |
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1997 |
Publication |
(SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis |
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CVC (UAB) |
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ISE @ ise @ VaV1997b |
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62 |
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Author |
X. Binefa; Xavier Roca; Jordi Vitria |
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Title |
A Contrast Approach to Depth from Focus. |
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Conference Article |
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Year |
1997 |
Publication |
(SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis |
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Barcelona |
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OR;ISE;MV |
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no |
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BCNPCL @ bcnpcl @ BRV1997 |
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63 |
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Author |
W. Niessen; Antonio Lopez; W. Van Enk; P. Van Roermund; Bart M. Ter Haar Romeny; M. Viergever |
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Title |
Multiscale Trabecular Bone Orientation Analysis. |
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Conference Article |
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1997 |
Publication |
(SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis |
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19-24 |
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ADAS |
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ADAS @ adas @ NLE1997a |
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66 |
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Author |
David Lloret; Antonio Lopez; Joan Serrat |
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Title |
Rigid Registration of CT and MR volumes based on Rothes creases |
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Conference Article |
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Year |
1997 |
Publication |
(SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis |
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1-6 |
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Barcelona (Spain) |
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ADAS |
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ADAS @ adas @ LLS1997 |
Serial |
490 |
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Author |
Ernest Valveny; Enric Marti |
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Title |
Dimensions analysis in hand-drawn architectural drawings |
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Conference Article |
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Year |
1997 |
Publication |
(SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis |
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90-91 |
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CVC-UAB |
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DAG;IAM; |
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IAM @ iam @ VAM1997 |
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1659 |
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Author |
A. Martinez; Jordi Vitria |
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Title |
From Visual Scanning to Object Recognition |
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Conference Article |
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Year |
1997 |
Publication |
(SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis. |
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Barcelona |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ MaV1997c |
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58 |
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Author |
A. Auge; Javier Varona; Juan J. Villanueva |
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Title |
Tumour Segmentation in Mammographies with Neural Networks. Application to Tumoural Volume Approximation. |
Type |
Conference Article |
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Year |
1997 |
Publication |
(SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis. |
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no |
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ISE @ ise @ AVV1997 |
Serial |
208 |
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Author |
Mariona Caros; Maite Garolera; Petia Radeva; Xavier Giro |
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Title |
Automatic Reminiscence Therapy for Dementia |
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Conference Article |
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Year |
2020 |
Publication |
10th ACM International Conference on Multimedia Retrieval |
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383-387 |
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With people living longer than ever, the number of cases with dementia such as Alzheimer's disease increases steadily. It affects more than 46 million people worldwide, and it is estimated that in 2050 more than 100 million will be affected. While there are not effective treatments for these terminal diseases, therapies such as reminiscence, that stimulate memories from the past are recommended. Currently, reminiscence therapy takes place in care homes and is guided by a therapist or a carer. In this work, we present an AI-based solution to automatize the reminiscence therapy, which consists in a dialogue system that uses photos as input to generate questions. We run a usability case study with patients diagnosed of mild cognitive impairment that shows they found the system very entertaining and challenging. Overall, this paper presents how reminiscence therapy can be automatized by using machine learning, and deployed to smartphones and laptops, making the therapy more accessible to every person affected by dementia. |
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Virtual; October 2020 |
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ICRM |
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no |
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Call Number |
Admin @ si @ CGR2020 |
Serial |
3529 |
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Author |
Partha Pratim Roy; Umapada Pal; Josep Llados |
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Title |
Seal Object Detection in Document Images using GHT of Local Component Shapes |
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Conference Article |
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Year |
2010 |
Publication |
10th ACM Symposium On Applied Computing |
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23–27 |
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Due to noise, overlapped text/signature and multi-oriented nature, seal (stamp) object detection involves a difficult challenge. This paper deals with automatic detection of seal from documents with cluttered background. Here, a seal object is characterized by scale and rotation invariant spatial feature descriptors (distance and angular position) computed from recognition result of individual connected components (characters). Recognition of multi-scale and multi-oriented component is done using Support Vector Machine classifier. Generalized Hough Transform (GHT) is used to detect the seal and a voting is casted for finding possible location of the seal object in a document based on these spatial feature descriptor of components pairs. The peak of votes in GHT accumulator validates the hypothesis to locate the seal object in a document. Experimental results show that, the method is efficient to locate seal instance of arbitrary shape and orientation in documents. |
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Sierre, Switzerland |
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SAC |
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DAG |
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no |
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Call Number |
DAG @ dag @ RPL2010a |
Serial |
1291 |
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Author |
Oriol Ramos Terrades; Alejandro Hector Toselli; Nicolas Serrano; Veronica Romero; Enrique Vidal; Alfons Juan |
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Interactive layout analysis and transcription systems for historic handwritten documents |
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Conference Article |
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2010 |
Publication |
10th ACM Symposium on Document Engineering |
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219–222 |
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Handwriting recognition; Interactive predictive processing; Partial supervision; Interactive layout analysis |
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The amount of digitized legacy documents has been rising dramatically over the last years due mainly to the increasing number of on-line digital libraries publishing this kind of documents, waiting to be classified and finally transcribed into a textual electronic format (such as ASCII or PDF). Nevertheless, most of the available fully-automatic applications addressing this task are far from being perfect and heavy and inefficient human intervention is often required to check and correct the results of such systems. In contrast, multimodal interactive-predictive approaches may allow the users to participate in the process helping the system to improve the overall performance. With this in mind, two sets of recent advances are introduced in this work: a novel interactive method for text block detection and two multimodal interactive handwritten text transcription systems which use active learning and interactive-predictive technologies in the recognition process. |
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Manchester, United Kingdom |
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ACM |
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DAG |
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no |
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Call Number |
Admin @ si @RTS2010 |
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1857 |
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Author |
Eduard Vazquez; Joost Van de Weijer; Ramon Baldrich |
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Title |
Image Segmentation in the Presence of Shadows and Highligts |
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Conference Article |
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2008 |
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10th European Conference on Computer Vision |
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5305 |
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1–14 |
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Marseille (France) |
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LNCS |
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ECCV |
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CAT;CIC |
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CAT @ cat @ VVB2008b |
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1013 |
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Author |
Albert Gordo; Florent Perronnin; Ernest Valveny |
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Title |
Document classification using multiple views |
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Conference Article |
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2012 |
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10th IAPR International Workshop on Document Analysis Systems |
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33-37 |
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The combination of multiple features or views when representing documents or other kinds of objects usually leads to improved results in classification (and retrieval) tasks. Most systems assume that those views will be available both at training and test time. However, some views may be too `expensive' to be available at test time. In this paper, we consider the use of Canonical Correlation Analysis to leverage `expensive' views that are available only at training time. Experimental results show that this information may significantly improve the results in a classification task. |
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Australia |
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IEEE Computer Society Washington |
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978-0-7695-4661-2 |
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DAS |
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DAG |
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Admin @ si @ GPV2012 |
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2049 |
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Author |
Klaus Broelemann; Anjan Dutta; Xiaoyi Jiang; Josep Llados |
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Title |
Plausibility-Graphs for Symbol Spotting in Graphical Documents |
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Conference Article |
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Year |
2013 |
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10th IAPR International Workshop on Graphics Recognition |
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Graph representation of graphical documents often suffers from noise viz. spurious nodes and spurios edges of graph and their discontinuity etc. In general these errors occur during the low-level image processing viz. binarization, skeletonization, vectorization etc. Hierarchical graph representation is a nice and efficient way to solve this kind of problem by hierarchically merging node-node and node-edge depending on the distance.
But the creation of hierarchical graph representing the graphical information often uses hard thresholds on the distance to create the hierarchical nodes (next state) of the lower nodes (or states) of a graph. As a result the representation often loses useful information. This paper introduces plausibilities to the nodes of hierarchical graph as a function of distance and proposes a modified algorithm for matching subgraphs of the hierarchical
graphs. The plausibility-annotated nodes help to improve the performance of the matching algorithm on two hierarchical structures. To show the potential of this approach, we conduct an experiment with the SESYD dataset. |
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Bethlehem; PA; USA; August 2013 |
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GREC |
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DAG; 600.045; 600.056; 600.061; 601.152 |
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no |
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Call Number |
Admin @ si @ BDJ2013 |
Serial |
2360 |
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| Permanent link to this record |
