Home | [151–160] << 161 162 163 164 165 166 167 168 169 170 >> [171–180] |
![]() |
Records | |||||
---|---|---|---|---|---|
Author | Fernando Vilariño | ||||
Title ![]() |
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 | |
Volume | Issue | Pages | |||
Keywords | |||||
Abstract | |||||
Address | Thessaloniki; Grecia; September 2019 | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
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 | ||||
Title ![]() |
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 | |
Volume | Issue | Pages | |||
Keywords | |||||
Abstract | |||||
Address | |||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | |||
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 | ||||
Title ![]() |
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 |
||||
Address | |||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
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 | ||||
Title ![]() |
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 | |
Volume | Issue | Pages | |||
Keywords | |||||
Abstract | |||||
Address | |||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
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 | ||||
Title ![]() |
Quality Assessment of Optical Flow in Tagging MRI | Type | Conference Article | ||
Year | 2015 | Publication | 5th Dutch Bio-Medical Engineering Conference BME2015 | Abbreviated Journal | |
Volume | Issue | Pages | |||
Keywords | |||||
Abstract | |||||
Address | The Netherlands; January 2015 | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | BME | ||
Notes | IAM; ADAS; 600.076; 600.075 | Approved | no | ||
Call Number | Admin @ si @ KMF2015 | Serial | 2616 | ||
Permanent link to this record | |||||
Author | Daniel Ponsa; Robert Benavente; Felipe Lumbreras; Judit Martinez; Xavier Roca | ||||
Title ![]() |
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 |
Keywords | |||||
Abstract | |||||
Address | |||||
Corporate Author | Thesis | ||||
Publisher | SPIE | Place of Publication | Editor | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | |||
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 | ||||
Title ![]() |
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 | |
Keywords | |||||
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 | ||||
Corporate Author | Thesis | ||||
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 | ||||
Title ![]() |
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 | ||
Keywords | |||||
Abstract | |||||
Address | |||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | 800 | Expedition | Conference | ||
Notes | MV | Approved | no | ||
Call Number | fernando @ fernando @ | Serial | 2426 | ||
Permanent link to this record | |||||
Author | F. Moreso; D. Seron; Jordi Vitria; J.M. Grinyo; F.M. Colome-Serra; N. Pares; J.R. Serra | ||||
Title ![]() |
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 |
Keywords | |||||
Abstract | |||||
Address | |||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | |||
Notes | OR;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ MSV1994 | Serial | 113 | ||
Permanent link to this record | |||||
Author | Alvaro Cepero; Albert Clapes; Sergio Escalera | ||||
Title ![]() |
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 | |
Keywords | |||||
Abstract | |||||
Address | Vic; October 2013 | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | CCIA | ||
Notes | HUPBA;MILAB | Approved | no | ||
Call Number | Admin @ si @ CCE2013 | Serial | 2324 | ||
Permanent link to this record | |||||
Author | Carles Sanchez; Debora Gil; R. Tazi; Jorge Bernal; Y. Ruiz; L. Planas; F. Javier Sanchez; Antoni Rosell | ||||
Title ![]() |
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 | |
Volume | Issue | Pages | |||
Keywords | |||||
Abstract | |||||
Address | Barcelona; Spain; April 2015 | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
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 | ||||
Title ![]() |
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 | ||
Keywords | |||||
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 | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | ICDAR | ||
Notes | DAG; 600.077 | Approved | no | ||
Call Number | Admin @ si @ GhV2015a | Serial | 2715 | ||
Permanent link to this record | |||||
Author | Partha Pratim Roy; Umapada Pal; Josep Llados | ||||
Title ![]() |
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 | ||
Keywords | |||||
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 | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
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 | ||||
Title ![]() |
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 | ||||
Corporate Author | Thesis | ||||
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 | ||||
Title ![]() |
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. |
||||
Address | |||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | ICDAR | ||
Notes | DAG; 600.121 | Approved | no | ||
Call Number | Admin @ si @ GhV2017a | Serial | 3079 | ||
Permanent link to this record |