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Author  |
V. Chapaprieta |
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Title |
Reconocimiento de caracteres manuscritos mediante modelos de distribucion de puntos (PDM) |
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2000 |
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CVC Technical Report #41 |
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CVC (UAB) |
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Admin @ si @ Cha2000 |
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342 |
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Author |
V. Chapaprieta; Ernest Valveny |
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Title |
Handwritten Digit Recognition Using Point Distribution Models. |
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Miscellaneous |
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2001 |
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Proceedings of the IX Spanish Symposium on Pattern Recognition and Image Analysis, 1:49–54. |
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DAG |
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DAG @ dag @ ChV2001 |
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83 |
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Author |
V. Kober; Mikhail Mozerov; J. Alvarez-Borrego; I.A. Ovseyevich |
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Title |
Adaptive Correlation Filters for Pattern Recognition |
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2006 |
Publication |
Pattern Recognition and Image Analysis |
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Volume |
16 |
Issue |
3 |
Pages |
425-431 |
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Keywords |
Pattern recognition, Correlation filters, A adaptive filters |
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Adaptive correlation filters based on synthetic discriminant functions (SDFs) for reliable pattern recognition are proposed. A given value of discrimination capability can be achieved by adapting a SDF filter to the input scene. This can be done by iterative training. Computer simulation results obtained with the proposed filters are compared with those of various correlation filters in terms of recognition performance. |
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ISE @ ise @ KMA2006a |
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673 |
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Author |
V. Kober; Mikhail Mozerov; J. Alvarez-Borrego; I.A. Ovseyevich |
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Title |
Pattern Recognition of Fragmented Objects with Adaptive Correlation Filters |
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Miscellaneous |
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2006 |
Publication |
Topical Meeting on Optoinformatics / Information Photonics, 150–151 |
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Saint-Petersburg (Russia) |
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ISE @ ise @ KMA2006b |
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674 |
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Author |
V. Kober; Mikhail Mozerov; Josue Albarez; I.A. Ovseyevich |
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Title |
Algorithms for Impulse Noise Renoval from Corrupted Color Images |
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2007 |
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ISE @ ise @ KMA2007 |
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811 |
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Author |
V. Poulain d'Andecy; Emmanuel Hartmann; Marçal Rusiñol |
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Title |
Field Extraction by hybrid incremental and a-priori structural templates |
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Year |
2018 |
Publication |
13th IAPR International Workshop on Document Analysis Systems |
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251 - 256 |
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Layout Analysis; information extraction; incremental learning |
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In this paper, we present an incremental framework for extracting information fields from administrative documents. First, we demonstrate some limits of the existing state-of-the-art methods such as the delay of the system efficiency. This is a concern in industrial context when we have only few samples of each document class. Based on this analysis, we propose a hybrid system combining incremental learning by means of itf-df statistics and a-priori generic
models. We report in the experimental section our results obtained with a dataset of real invoices. |
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Viena; Austria; April 2018 |
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DAS |
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DAG; 600.084; 600.129; 600.121 |
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Call Number |
Admin @ si @ PHR2018 |
Serial |
3106 |
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Author |
V. Valev; B. Sankur; Petia Radeva |
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Title |
Generalized Non-Reducible Descriptors. |
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1997 |
Publication |
Technical Report. |
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MILAB |
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BCNPCL @ bcnpcl @ VSR1997 |
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65 |
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Author |
V. Valev; B. Sankur; Petia Radeva |
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Title |
Generalized Non Reducible Descriptors. |
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2000 |
Publication |
15 th International Conference on Pattern Recognition |
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2 |
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397-397 |
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Barcelona. |
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ICPR |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ VSR2000 |
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230 |
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Author |
V. Valev; Petia Radeva |
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Title |
Structural Pattern Recognition by Non-Reducible Descriptors |
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1994 |
Publication |
Proc. International Workshop on Syntactic and Structural Pattern Recognition. |
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Nahariya, Israel |
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BCNPCL @ bcnpcl @ VaR1994 |
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107 |
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Author |
V. Valev; Petia Radeva |
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Title |
ECG Recognition by Non-Reducible Descriptors. |
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1995 |
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Portuguese Conference on Pattern Recognition. |
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Lisbon, Portugal |
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MILAB |
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BCNPCL @ bcnpcl @ VaR1995a |
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139 |
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V. Valev; Petia Radeva |
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Title |
Constructing Quantitative Non-Reducible Descriptors. |
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1995 |
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9th Scandinavian Conference on Artificial Intelligence |
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Sweden |
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MILAB |
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BCNPCL @ bcnpcl @ VaR1995b |
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140 |
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V. Valev; Petia Radeva |
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Title |
On the Determining of Non-Reducible Descriptors for Multidimensional Pattern Recognition Problems. |
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1993 |
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Pattern Recognition and image Analysis, Vol. 3, No. 3. |
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BCNPCL @ bcnpcl @ VaR1993 |
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175 |
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Author |
V. Valev; Petia Radeva |
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Title |
Determining structural descriptions by boolean formulas advances in structural and syntactic Pattern Recognition. |
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1992 |
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Proceeding of the International Workshop on Structural and Syntactic Pattern Recognition. Ed. Bunke, World Scientific Pub. |
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BCNPCL @ bcnpcl @ VaR1992a |
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251 |
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V. Valev; Petia Radeva |
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Title |
A Method of Solving Pattern or image Recognition Problems by Learning Boolean Formulas. |
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1992 |
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Proc. of 11th IAPR International Conference on Pattern Recognition, Hague, Netherlands, IEEE Computer Society Press, vol. II, pp. 359–362. |
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MILAB |
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BCNPCL @ bcnpcl @ VaR1992b |
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253 |
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Author |
V. Valev; Petia Radeva |
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Title |
Determining Structural Description by Boolean Formulas. |
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1992 |
Publication |
Advances in Structural and Syntactic Pattern Recognition |
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5 |
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131–140 |
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Pattern recognition is an active area of research with many applications, some of which have reached commercial maturity. Structural and syntactic methods are very powerful. They are based on symbolic data structures together with matching, parsing, and reasoning procedures that are able to infer interpretations of complex input patterns.
This book gives an overview of the latest developments and achievements in the field. |
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World Scientific |
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H. Bunke |
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Machine Perception and Artificial Intelligence: |
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978-981-279-791-9 |
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MILAB |
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BCNPCL @ bcnpcl @ VaR1992c |
Serial |
254 |
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