Please use this identifier to cite or link to this item: http://hdl.handle.net/10216/88482
Author(s): John Michael Salgado Cebola
Title: Pre-trained Convolutional Networks and generative statiscial models: a study in semi-supervised learning
Issue Date: 2016-07-19
Description: Comparative study between the performance of Convolutional Networks using pretrained models and statistical generative models on tasks of image classification in semi-supervised enviroments.Study of multiple ensembles using these techniques and generated data from estimated pdfs.Pretrained Convents, LDA, pLSA, Fisher Vectors, Sparse-coded SPMs, TSVMs being the key models worked upon.
Subject: Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
TID identifier : 201309084
URI: http://hdl.handle.net/10216/88482
Document Type: Dissertação
Rights: openAccess
Appears in Collections:FEUP - Dissertação

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