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Caros, </div>

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Gostaria de convidá-los para o seminário desta quinta-feira promovido pela Escola de Matemática Aplicada da FGV. Receberemos o professor Oscar Dalmau Cedeńo, do CIMAT no México.</div>

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Segue informaçőes do seminário.</div>

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Abs</div>

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Duda</div>

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<b><span style="font-size:14.0pt; line-height:115%; font-family:"Arial",sans-serif; color:#2F5597">DICTIONARY LEARNING METHODS FOR SUPER-RESOLUTION AND TUMOR SEGMENTATION PROBLEMS</span></b></p>

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<span style="font-size:10.5pt; line-height:115%; font-family:"Arial",sans-serif; color:#595959">Dictionary Learning (DL) is an unsupervised representation learning method in which one can learn the representation (the dictionary) from a set of training data, 

 instead of   standard methods that represent the data as a linear combination of basis functions such as  Fourier or wavelets. The learning of dictionaries focuses on  learning the 'basis' and features by matrix factorization. Recently, this method has been

 combined with the Deep Learning paradigm  obtaining a new representation model called Deep Dictionary Learning (DDL).  </span></p>

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<span style="font-size:10.5pt; line-height:115%; font-family:"Arial",sans-serif; color:#595959">In this talk,  we present an introduction of DL through the task of image   denoising. Then, we present two DL multi-model based applications. In the first one,

 we propose  a   multimodel  DL method for the super-resolution problem. In the second one,  we propose  a weighted multimodel DDL for tumor segmentation in Magnetic resonance imaging. We also present experiments and preliminary results of both methods.</span></p>

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<sup><span style="font-size:9.0pt; line-height:115%; font-family:"Arial",sans-serif; color:#595959">Texto informado pelo autor</span></sup><b><sup><span style="font-size:9.0pt; line-height:115%; font-family:"Arial",sans-serif; color:#3B3838">.</span></sup></b><span style="font-family:"Arial",sans-serif"></span></p>

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<b><span style="font-family:"Arial",sans-serif; color:#1F4E79">Quando:</span></b><span style="font-family:"Arial",sans-serif"></span></p>

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<span style="font-size:10.5pt; line-height:115%; font-family:"Arial",sans-serif; color:#595959">08 de Outubro de 2020, ŕs

<b>16h</b></span><span style="font-family:"Arial",sans-serif; color:#595959"></span></p>

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<span style="font-size:10.5pt; line-height:115%; font-family:"Arial",sans-serif; color:#595959">Via Zoom</span><span style="font-family:"Arial",sans-serif; color:#595959"></span></p>

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<span style="font-size:10.5pt; line-height:115%; font-family:"Arial",sans-serif; color:#595959">Registre-se com antecedęncia para este seminário:

</span></p>

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<span style="font-size:10.0pt; font-family:"Arial",sans-serif; color:black"><a href="https://ide-fgv-br.zoom.us/meeting/register/tJAoc-utpj0vEtAbyi4JyM1v0DZaKhTUs6dd">https://ide-fgv-br.zoom.us/meeting/register/tJAoc-utpj0vEtAbyi4JyM1v0DZaKhTUs6dd</a>

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<span style="font-size:10.5pt; line-height:115%; font-family:"Arial",sans-serif; color:#595959">Após o registro, vocę receberá um e-mail de confirmaçăo contendo informaçőes sobre conexăo no seminário.</span><span style="font-family:"Arial",sans-serif"></span></p>

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<b><span style="font-size:12.0pt; line-height:115%; font-family:"Arial",sans-serif; color:#1F4E79">Palestrante:</span></b><b><span style="font-size:12.0pt; line-height:115%; font-family:"Arial",sans-serif"></span></b></p>

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<b><span style="font-size:10.5pt; line-height:115%; font-family:"Arial",sans-serif; color:#595959">Oscar Dalmau Cedeńo</span></b><span style="font-size:10.5pt; line-height:115%; font-family:"Arial",sans-serif; color:#595959"> received the M.Sc. degree in computer

 science and industrial mathematics and the Ph.D. degree in computer science from the Mathematics Research Center (CIMAT), Guanajuato, Mexico, in 2004 and 2010, respectively. He is currently researcher and professor of the Department of Computer Science at

 CIMAT, Mexico. His research interests lie in the areas of machine learning, optimization, image processing, and computer vision.</span></p>

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