Essays about: "Gaussian noise"

Showing result 21 - 25 of 119 essays containing the words Gaussian noise.

  1. 21. Analysing the Effect of Working Memory Training on Brain Networks Using MEG and Neuroimaging

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Jeanie Dawnbringer; [2022]
    Keywords : Brain networks; Magnetoencephalography; Working memory; Plasticity; Neuroimaging;

    Abstract : Introduction: The brain can change its structure and functionality as a result ofexternal factors. The working memory (WM) of the brain is where informationcan be held and manipulated during a short period of time, with the purpose ofachieving higher cognitive functions such as reasoning and learning. READ MORE

  3. 22. Combined Regularisation Techniques for Artificial Neural Networks

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Author : Joseph Binns; [2022]
    Keywords : Artificial Neural Networks; ANNs; Overfitting; Combined Regularisation Techniques; Regularisation Techniques; Regularisation; L2; Weight Decay; Dropout; Early Stopping; Physics and Astronomy;

    Abstract : Artificial neural networks are prone to overfitting – the process of learning details specific to a particular training data set. Success in preventing overfitting through combining the L2 and dropout regularisation techniques has led to the combination’s recent popularity. READ MORE

  4. 23. The Impact of Noise on Generative and Discriminative Image Classifiers

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

    Author : Maximilian Stenlund; Valdemar Jakobsson; [2022]
    Keywords : Artificial intelligence; Adversarial noise; Discriminative; Generative; Salt and Pepper noise; Gaussian noise; neural networks; Normalized flows; Convolutional networks;

    Abstract : This report analyzes the difference between discriminative and generative image classifiers when tested on noise. The generative classifier was a maximum-likelihood based classifier using a normalizing flow as the generative model. In this work, a coupling flow such as RealNVP was used. READ MORE

  5. 24. Importance Sampling in Wireless Communication Systems with Ultra-Low Error Rates

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Bharat Maheshwari; Yewen Zhou; [2022]
    Keywords : error region; Monte Carlo; importance sampling; rejection sampling; Kullback-Leibler divergence.; Technology and Engineering;

    Abstract : Simulation mimics the behaviour of real world processes or the system over time. It helps us to understand the impact of modification and the effect of introducing various interventions to a system. READ MORE

  6. 25. Privacy-aware data generation : Using generative adversarial networks and differential privacy

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Felix Hübinette; [2022]
    Keywords : GANS; DP; generative adversarial networks; differential privacy; data generation; privacy; security;

    Abstract : Today we are surrounded by IOT devices that constantly generate different kinds of data about its environment and its users. Much of this data could be useful for different research purposes and development, but a lot of this collected data is privacy-sensitive for the individual person. READ MORE