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Treball de fi de grauData de publicació
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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/131064
Wavelet pooling for convolutional neural networks
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[en] Wavelets are mathematical functions that are currently used in many computer vision problems, such as image denoising or image compression. In this work, first we will study all the basic theory about wavelets, in order to understand them and build a basic knowledge that allows us to develop another application. For such purpose, we propose two pooling methods based on wavelets: one based on simple wavelet basis and one that combines two basis working in parallel. We will test them and show that they can be used at the same level of performance as max and average pooling.
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Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2018, Director: Petia Radeva,
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FERRÀ MARCÚS, Aina. Wavelet pooling for convolutional neural networks. [consulta: 21 de gener de 2026]. [Disponible a: https://hdl.handle.net/2445/131064]