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Author |
Title  |
Year |
Publication |
Volume |
Pages |
Links |
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Maya Dimitrova; I. Terziev; Petia Radeva; Juan J. Villanueva |
Java-Servlet Technology for Building New Web Document Classifiers |
2004 |
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David Guillamet; B. Moghaddam |
Joint Distribution of Local Image Features for Appearance Moldeling. |
2002 |
Proceedings of the IAPR Workshop on Machine Vision Applications MVA 2002. |
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David Lloret; C. Mariño; Joan Serrat; Antonio Lopez; Juan J. Villanueva |
Landmark-based registration of full SLO video sequences. |
2001 |
Proceedings of the IX Spanish Symposium on Pattern Recognition and Image Analysis,1:189–194. |
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G.Estape; Enric Marti |
L’ús d’aplicacions de visualització 3D com a eina d’aprenenetatge en activitats formatives dirigides i autònomes: el cas del programa Bluestar |
2008 |
V Jornades d’Innovació Docent UAB |
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A. Pujol; H. Wechsler; Juan J. Villanueva |
Learning and Caricaturing the Face Space Using Self-Organization and Hebbian Learning for Face Processing. |
2001 |
11th International Conference on Image Analysis and Processing, ICIAP 2001, 273–278. |
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Pau Riba; Andreas Fischer; Josep Llados; Alicia Fornes |
Learning Graph Edit Distance by Graph NeuralNetworks |
2020 |
Arxiv |
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Mikel Menta; Adriana Romero; Joost Van de Weijer |
Learning to adapt class-specific features across domains for semantic segmentation |
2020 |
Arxiv |
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Oriol Ramos Terrades; Ernest Valveny |
Line Detection Using Ridgelets Transform for Graphic Symbol Representation |
2003 |
In Pattern Recognition and Image Analysis, Lecture Notes in Computer Science 2652:829–837 |
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X. Binefa; J.M. Sanchez; Petia Radeva; Jordi Vitria |
Linking Visual Cues and Semantic Terms Under Specific Digital Video Domains. |
2000 |
Journal of Visual Languages and Computing, 11(3):253–271. |
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J.M. Sanchez; X. Binefa; Jordi Vitria; Petia Radeva |
Local Analysis for Scene Break Detection Applied to TV Commercials Recognition. |
1999 |
Visual information and information systems, 237–244, Springer– Verlag. |
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B. Moghaddam; David Guillamet; Jordi Vitria |
Local Appearance-Based Models using High-Order Statistics of Image Features |
2003 |
Mitsubishi Electrical Reasearch Lab Technical Report |
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David Guillamet; Jordi Vitria |
Local Discriminant Regions Using Support Vector Machines for Object Recognition. |
2000 |
Advances in Pattern Recognition, Lecture Notes in Computer Science 1876: 550–559, Springer Verlag. |
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Oriol Ramos Terrades; Ernest Valveny |
Local Norm Features based on ridgelets Transform |
2005 |
8th International Conference on Document Analysis and Recognition (ICDAR´05), 700–704 |
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Shiqi Yang; Yaxing Wang; Kai Wang; Shangling Jui; Joost Van de Weijer |
Local Prediction Aggregation: A Frustratingly Easy Source-free Domain Adaptation Method |
2022 |
Arxiv |
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Pau Riba; Sounak Dey; Ali Furkan Biten; Josep Llados |
Localizing Infinity-shaped fishes: Sketch-guided object localization in the wild |
2021 |
Arxiv |
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