Essays about: "referensdataset"
Showing result 1 - 5 of 7 essays containing the word referensdataset.
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1. Basil-GAN
University essay from KTH/Matematisk statistikAbstract : Developments in computer vision has sought to design deep neural networks which trained on a large set of images are able to generate high quality artificial images which share semantic qualities with the original image set. A pivotal shift was made with the introduction of the generative adversarial network (GAN) by Goodfellow et al.. READ MORE
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2. Learning Style Compatibility on Fashion Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Fashion Recommendation can be defined as a set of systems that tries to predict and retrieve a curated and often ranked selection of fashion items based on the preference of one or more target consumers. Traditional systems relied on providing substitute recommendations, meaning that they were centered around finding similarities between fashion items. READ MORE
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3. Evaluation of transferability of Convolutional Neural Network pre-training with regard to image characteristics
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This study evaluates the impact of pre-training on a medical classification task and investigates what characteristics if images affect the transferability of learned features from the pre-training. Cardiotocography (CTG) is a combined electronic measurement of the fetal heart rate (FHR) and maternal uterine contractions during labor and delivery and is commonly analyzed to prevent hypoxia. READ MORE
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4. Pattern Mining in Uncertain Tensors
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Data mining is the art of extracting information from data and creating useful knowledge. Itemset mining, or pattern mining, is an important subfield that consists in finding relevant patterns in datasets. READ MORE
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5. Quantifying uncertainty in structural condition with Bayesian deep learning : A study on the Z-24 bridge benchmark
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A machine learning approach to damage detection is presented for a bridge structural health monitoring system, validated on the renowned Z-24 bridge benchmark dataset where a sensor instrumented, threespan bridge was realistically damaged in stages. A Bayesian autoencoder neural network is trained to reconstruct raw sensor data sequences, with uncertainty bounds in prediction. READ MORE
