Records |
Author |
Hana Jarraya; Oriol Ramos Terrades; Josep Llados |
Title |
Graph Embedding through Probabilistic Graphical Model applied to Symbolic Graphs |
Type |
Conference Article |
Year |
2017 |
Publication |
8th Iberian Conference on Pattern Recognition and Image Analysis |
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Attributed Graph; Probabilistic Graphical Model; Graph Embedding; Structured Support Vector Machines |
Abstract |
We propose a new Graph Embedding (GEM) method that takes advantages of structural pattern representation. It models an Attributed Graph (AG) as a Probabilistic Graphical Model (PGM). Then, it learns the parameters of this PGM presented by a vector. This vector is a signature of AG in a lower dimensional vectorial space. We apply Structured Support Vector Machines (SSVM) to process classification task. As first tentative, results on the GREC dataset are encouraging enough to go further on this direction. |
Address ![sorted by Address field, descending order (down)](img/sort_desc.gif) |
Faro; Portugal; June 2017 |
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IbPRIA |
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DAG; 600.097; 600.121 |
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Admin @ si @ JRL2017a |
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2953 |
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Author |
David Roche; Debora Gil; Jesus Giraldo |
Title |
Assessing agonist efficacy in an uncertain Em world |
Type |
Conference Article |
Year |
2012 |
Publication |
40th Keystone Symposia on mollecular and celular biology |
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79 |
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The operational model of agonism has been widely used for the analysis of agonist action since its formulation in 1983. The model includes the Em parameter, which is defined as the maximum response of the system. The methods for Em estimation provide Em values not significantly higher than the maximum responses achieved by full agonists. However, it has been found that that some classes of compounds as, for instance, superagonists and positive allosteric modulators can increase the full agonist maximum response, implying upper limits for Em and thereby posing doubts on the validity of Em estimates. Because of the correlation between Em and operational efficacy, τ, wrong Em estimates will yield wrong τ estimates.
In this presentation, the operational model of agonism and various methods for the simulation of allosteric modulation will be analyzed. Alternatives for curve fitting will be presented and discussed. |
Address ![sorted by Address field, descending order (down)](img/sort_desc.gif) |
Fairmont Banff Springs, Banff, Alberta, Canada |
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Keystone Symposia |
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Keystone Symposia |
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A. Christopoulus and M. Bouvier |
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english |
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english |
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Keystone Symposia |
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KSMCB |
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IAM |
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no |
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IAM @ iam @ RGG2012 |
Serial |
1855 |
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Author |
Asma Bensalah; Antonio Parziale; Giuseppe De Gregorio; Angelo Marcelli; Alicia Fornes; Josep Llados |
Title |
I Can’t Believe It’s Not Better: In-air Movement for Alzheimer Handwriting Synthetic Generation |
Type |
Conference Article |
Year |
2023 |
Publication |
21st International Graphonomics Conference |
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136–148 |
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During recent years, there here has been a boom in terms of deep learning use for handwriting analysis and recognition. One main application for handwriting analysis is early detection and diagnosis in the health field. Unfortunately, most real case problems still suffer a scarcity of data, which makes difficult the use of deep learning-based models. To alleviate this problem, some works resort to synthetic data generation. Lately, more works are directed towards guided data synthetic generation, a generation that uses the domain and data knowledge to generate realistic data that can be useful to train deep learning models. In this work, we combine the domain knowledge about the Alzheimer’s disease for handwriting and use it for a more guided data generation. Concretely, we have explored the use of in-air movements for synthetic data generation. |
Address ![sorted by Address field, descending order (down)](img/sort_desc.gif) |
Evora; Portugal; October 2023 |
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IGS |
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DAG |
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Admin @ si @ BPG2023 |
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3838 |
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Author |
Ignasi Rius; Dani Rowe; Jordi Gonzalez; Xavier Roca |
Title |
A 3D Dynamic Model of Human Actions for Probabilistic Image Tracking |
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Book Chapter |
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2005 |
Publication |
Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3522: 529–536 |
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Address ![sorted by Address field, descending order (down)](img/sort_desc.gif) |
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ISE |
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no |
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ISE @ ise @ RRG2005b |
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544 |
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Author |
Dani Rowe; Ignasi Rius; Jordi Gonzalez; Xavier Roca; Juan J. Villanueva |
Title |
Probabilistic Image-Based Tracking: Improving Particle Filtering |
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Book Chapter |
Year |
2005 |
Publication |
Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3522: 85–92 |
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Address ![sorted by Address field, descending order (down)](img/sort_desc.gif) |
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ISE |
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ISE @ ise @ RRG2005a |
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545 |
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Author |
Agata Lapedriza; David Masip; Jordi Vitria |
Title |
The contribution of external features to face recognition |
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Book Chapter |
Year |
2005 |
Publication |
Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3523: 537–544 |
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Address ![sorted by Address field, descending order (down)](img/sort_desc.gif) |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ LMV2005a |
Serial |
546 |
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Author |
Jaume Amores; N. Sebe; Petia Radeva |
Title |
Efficient Object-Class Recognition by Boosting Contextual Information |
Type |
Miscellaneous |
Year |
2005 |
Publication |
Pattern Recognition and Image Analysis, IbPRIA 2005, LNCS 3522:28–35 |
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Address ![sorted by Address field, descending order (down)](img/sort_desc.gif) |
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ADAS;MILAB |
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ADAS @ adas @ ASR2005b |
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554 |
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Author |
Francesc Tous; Maria Vanrell; Ramon Baldrich |
Title |
Relaxed Grey-World: Computational Colour Constancy by Surface Matching |
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Book Chapter |
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2005 |
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Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3522:192–199 |
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Address ![sorted by Address field, descending order (down)](img/sort_desc.gif) |
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CIC |
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no |
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CAT @ cat @ TVB2005 |
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555 |
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Author |
Agnes Borras; Josep Llados |
Title |
Object Image Retrieval by Shape Content in Complex Scenes Using Geometric Constraints |
Type |
Book Chapter |
Year |
2005 |
Publication |
Pattern Recognition And Image Analysis |
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LNCS |
Volume |
3522 |
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325–332 |
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Abstract |
This paper presents an image retrieval system based on 2D shape information. Query shape objects and database images are repre- sented by polygonal approximations of their contours. Afterwards they are encoded, using geometric features, in terms of predefined structures. Shapes are then located in database images by a voting procedure on the spatial domain. Then an alignment matching provides a probability value to rank de database image in the retrieval result. The method al- lows to detect a query object in database images even when they contain complex scenes. Also the shape matching tolerates partial occlusions and affine transformations as translation, rotation or scaling. |
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DAG; |
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DAG @ dag @ BoL2005; IAM @ iam @ BoL2005 |
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556 |
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Author |
Oriol Pujol; Petia Radeva |
Title |
Solving Particularization with Supervised Clustering Competition Scheme |
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Book Chapter |
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2005 |
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Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3523: 11–18 |
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MILAB;HuPBA |
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BCNPCL @ bcnpcl @ PuR2005b |
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557 |
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Author |
Joan Mas; Gemma Sanchez; Josep Llados |
Title |
An Adjacency Grammar to Recognize Symbols and Gestures in a Digital Pen Framework |
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2005 |
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Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3523: 115–122 |
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DAG |
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DAG @ dag @ MSL2005a |
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558 |
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Miquel Ferrer; F. Serratosa; A. Sanfeliu |
Title |
Synthesis of median spectral graph |
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2005 |
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Pattern Recognition and Image Analysis (IbPRIA´05), LNCS, 3523: 139 146 |
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Admin @ si @ FSS2005 |
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656 |
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Author |
Jose Manuel Alvarez; Antonio Lopez; Ramon Baldrich |
Title |
Illuminant Invariant Model-Based Road Segmentation |
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Conference Article |
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2008 |
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IEEE Intelligent Vehicles Symposium, |
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1155–1180 |
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road detection |
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Eindhoven (The Netherlands) |
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ADAS;CIC |
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ADAS @ adas @ ALB2008 |
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1045 |
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Fadi Dornaika; Angel Sappa |
Title |
Real Time on Board Stereo Camera Pose through Image Registration |
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Conference Article |
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2008 |
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IEEE Intelligent Vehicles Symposium, |
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804–809 |
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Eindhoven (Netherlands) |
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ADAS |
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ADAS @ adas @ DoS2008a |
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1015 |
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Author |
Jaime Lopez-Krahe; Josep Llados; Enric Marti |
Title |
Architectural Floor Plan Analysis |
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Report |
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2000 |
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CVonline |
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Edimburg, UK |
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University of Edinburgh |
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Robert B. Fisher |
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online pdf |
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DAG;IAM |
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IAM @ iam @ LLM2000 |
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1561 |
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