Essays about: "faltningsnätverk"

Showing result 1 - 5 of 54 essays containing the word faltningsnätverk.

  1. 1. Deep Learning with Importance Sampling for Brain Tumor MR Segmentation

    University essay from KTH/Optimeringslära och systemteori

    Author : Hanna Westermark; [2021]
    Keywords : Deep learning; importance sampling; segmentation; convolutional neural networks; MRI; brain tumour; Djupinlärning; importance sampling; segmentering; faltningsnätverk; MRI; hjärntumör;

    Abstract : Segmentation of magnetic resonance images is an important part of planning radiotherapy treat-ments for patients with brain tumours but due to the number of images contained within a scan and the level of detail required, manual segmentation is a time consuming task. Convolutional neural networks have been proposed as tools for automated segmentation and shown promising results. READ MORE

  2. 2. Noisy recognition of perceptual mid-level features in music

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Simon Mossmyr; [2021]
    Keywords : ;

    Abstract : Self-training with noisy student is a consistency-based semi-supervised self- training method that achieved state-of-the-art accuracy on ImageNet image classification upon its release. It makes use of data noise and model noise when fitting a model to both labelled data and a large amount of artificially labelled data. READ MORE

  3. 3. Convolutional Neural Networks: Performance on Imbalanced Data

    University essay from Umeå universitet/Statistik

    Author : Oscar Sallander; [2021]
    Keywords : ;

    Abstract : Imbalanced data is a major problem in machine learning classification, since predictive performance can be hindered when one class occurs more frequently than the others. For example, in medical science, imbalanced data sets are very common. READ MORE

  4. 4. The Effect of Beautification Filters on Image Recognition : "Are filtered social media images viable Open Source Intelligence?"

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Vasilios Skepetzis; Pontus Hedman; [2021]
    Keywords : face recognition; OSINT; machine learning; deep learning; convolutional neural networks; social media filters; u-net; residual neural network; Ansiktsigenkänning; OSINT; maskininlärning; djupinlärning; faltningsnätverk; sociala media filter; u-net; residual neuronnät;

    Abstract : In light of the emergence of social media, and its abundance of facial imagery, facial recognition finds itself useful from an Open Source Intelligence standpoint. Images uploaded on social media are likely to be filtered, which can destroy or modify biometric features. READ MORE

  5. 5. Deep Learning for Anomaly Detection in Microwave Links : Challenges and Impact on Weather Classification

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Olof Engström; [2020]
    Keywords : Anomaly Detection; Time Series; Forecasting; Weather Classification; Microwave Link; CNN; LSTM; Avvikelsedetektering; Tidsserier; Prognostisering; Väderklassificering; Mikrovågslänkar; faltningsnätverk; CNN; LSTM;

    Abstract : Artificial intelligence is receiving a great deal of attention in various fields of science and engineering due to its promising applications. In today’s society, weather classification models with high accuracy are of utmost importance. READ MORE