| Records |
| Author |
Javier Varona; Juan J. Villanueva |
Title  |
Neural Networks for Early Vision. |
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Miscellaneous |
| Year |
1997 |
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Proceedings of the VII NSPRIA, Vol. I. |
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no |
| Call Number |
ISE @ ise @ VaV1997b |
Serial |
62 |
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| Author |
Javier Varona; Juan J. Villanueva |
| Title |
NeuroFilters: Neural Networks for image Processing. |
Type |
Miscellaneous |
| Year |
1997 |
Publication |
Vision Systems: New image Processing Techniques and Applications Algorithms, Methods, and Components. Proceedings of the SPIE. |
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Munich |
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no |
| Call Number |
ISE @ ise @ VaV1997a |
Serial |
207 |
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| Author |
Fernando Vilariño; Enric Marti |
| Title |
New didactic techniques in the EHES applying mobile technologies |
Type |
Miscellaneous |
| Year |
2008 |
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Agencia de Gestio d´Ajuts Universitaris I de Recerca (AGAUR), Generalitat de Catalunya |
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Agencia de Gestió d’Ajuts Universitaris I de Recerca (AGAUR), Generalitat de Catalunya |
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Agencia de Gestio d´Ajuts Universitaris I de Recerca (AGAUR), Generalitat de Catalunya |
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MILAB;IAM;MV;SIAI |
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no |
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IAM @ iam @ VIM2008 |
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1664 |
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| Author |
Antonio Lopez; W. Niessen; Joan Serrat; K. Nicolay; Bart M. Ter Haar Romeny; Juan J. Villanueva; M. Viergever |
| Title |
New improvements in the multiscale analysis of trabecular bone patterns. |
Type |
Miscellaneous |
| Year |
1999 |
Publication |
Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes (SNRFAI’99), pags. 497–504 |
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Bilbao |
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ADAS |
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ADAS @ adas @ LNS1999 |
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17 |
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| Author |
Antonio Lopez; W. Niessen; Joan Serrat; K. Nicolay; Bart M. Ter Haar Romeny; Juan J. Villanueva; M. Viergever |
| Title |
New improvements in the multiscale analysis of trabecular bone patterns. |
Type |
Miscellaneous |
| Year |
2000 |
Publication |
Pattern Recognition and Applications, IOS Press, 251–260. |
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ADAS |
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no |
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ADAS @ adas @ LNS2000 |
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332 |
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| Author |
Adriana Romero; Petia Radeva; Carlo Gatta |
| Title |
No more meta-parameter tuning in unsupervised sparse feature learning |
Type |
Miscellaneous |
| Year |
2014 |
Publication |
Arxiv |
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CoRR abs/1402.5766
We propose a meta-parameter free, off-the-shelf, simple and fast unsupervised feature learning algorithm, which exploits a new way of optimizing for sparsity. Experiments on STL-10 show that the method presents state-of-the-art performance and provides discriminative features that generalize well. |
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MILAB; LAMP; 600.079 |
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no |
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Admin @ si @ RRG2014 |
Serial |
2471 |
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| Author |
Azadeh S. Mozafari; David Vazquez; Mansour Jamzad; Antonio Lopez |
| Title |
Node-Adapt, Path-Adapt and Tree-Adapt:Model-Transfer Domain Adaptation for Random Forest |
Type |
Miscellaneous |
| Year |
2016 |
Publication |
Arxiv |
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Domain Adaptation; Pedestrian detection; Random Forest |
| Abstract |
Random Forest (RF) is a successful paradigm for learning classifiers due to its ability to learn from large feature spaces and seamlessly integrate multi-class classification, as well as the achieved accuracy and processing efficiency. However, as many other classifiers, RF requires domain adaptation (DA) provided that there is a mismatch between the training (source) and testing (target) domains which provokes classification degradation. Consequently, different RF-DA methods have been proposed, which not only require target-domain samples but revisiting the source-domain ones, too. As novelty, we propose three inherently different methods (Node-Adapt, Path-Adapt and Tree-Adapt) that only require the learned source-domain RF and a relatively few target-domain samples for DA, i.e. source-domain samples do not need to be available. To assess the performance of our proposals we focus on image-based object detection, using the pedestrian detection problem as challenging proof-of-concept. Moreover, we use the RF with expert nodes because it is a competitive patch-based pedestrian model. We test our Node-, Path- and Tree-Adapt methods in standard benchmarks, showing that DA is largely achieved. |
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ADAS |
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no |
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ADAS @ adas @ MVJ2016 |
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2868 |
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| Author |
J.R. Serra; S. Casadei; J.B. Subirana |
| Title |
Non-Cartesian Networks for Middle Level Vision. |
Type |
Miscellaneous |
| Year |
1995 |
Publication |
VI National Simposium on Pattern Recognition and image Analysis |
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Cordoba |
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Admin @ si @ SCS1995 |
Serial |
232 |
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| Author |
David Guillamet; Jordi Vitria |
| Title |
Non-negative Matrix Factorization for Face Recognition. |
Type |
Miscellaneous |
| Year |
2002 |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ GuV2002a |
Serial |
280 |
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| Author |
David Guillamet; Jordi Vitria |
| Title |
Non-negative Matrix Factorization to Extract Part-Based Representations. |
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2001 |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ GuV2001a |
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100 |
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| Author |
David Guillamet; Jordi Vitria |
| Title |
Non-negative Matrix Factorization to Extract Part-Based Representations. |
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Miscellaneous |
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2001 |
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Accepted for 4th Catalan Conference for Artificial Intelligence. |
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Barcelona |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ GVi2001a |
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105 |
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| Author |
Jaume Amores; Petia Radeva |
| Title |
Non-rigid Registration of Vessel Structures in IVUS Images |
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2003 |
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In Pattern Recognition and Image Analysis, Lecture Notes in Computer Science. 2652:45–52 |
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Springer-Verlag |
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ADAS;MILAB |
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ADAS @ adas @ AmR2003 |
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363 |
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| Author |
Jose Luis Alba; A. Pujol; Juan J. Villanueva |
| Title |
Novel SOM-PCA Network for Face Identification. |
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2001 |
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Applications and Science of Neural Networks, Fuzzy Systems and Evolutonary Computation IV, SPIE´s International Symposium on Optical Science and Technology. |
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ISE @ ise @ APV2001a |
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69 |
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| Author |
M. Gomez; J. Mauri; E. Fernandez-Nofrerias; Oriol Rodriguez-Leor; Carme Julia; Petia Radeva; David Rotger; V. Valle |
| Title |
Nuevos Avances para la correlacion de imagenes angiograficas y de ecograia intracoronaria. |
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2002 |
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Congreso de las Enfermedades Cardiovasculares, XXXVIII Congreso de la Sociedad Española de Cardiologia. |
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Madrid, Espanya |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ GMF2002c |
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309 |
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| Author |
Ernest Valveny; Antonio Lopez |
| Title |
Numeral Recognition for Quality Control of Surgical Sachets |
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Miscellaneous |
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2003 |
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Proceedings of the Seventh International Conference on Document Analysis and Recognition (ICDAR´03), 379–383 |
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DAG;ADAS |
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ADAS @ adas @ VaL2003 |
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423 |
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