Essays about: "Probabilistic Models"
Showing result 1 - 5 of 117 essays containing the words Probabilistic Models.
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1. Modelling Long Term Memory in the Bayesian Confidence Neural Network Model
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Memory is a fascinating and complex part of human life. Understanding memory and simulating itthrough modelling can help society take steps towards understanding health issues such asAlzheimer's, dementia and amnesia. READ MORE
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2. Clinical Assessment of Deep Learning-Based Uncertainty Maps in Lung Cancer Segmentation
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Prior to radiation therapy planning, tumours and organs at risk need to be delineated. In recent years, deep learning models have opened the possibility of automating the contouring process, speeding up the procedures and helping clinicians. READ MORE
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3. Generation of Synthetic Traffic Sign Images using Diffusion Models
University essay from Linköpings universitet/DatorseendeAbstract : In the area of Traffic Sign Recognition (TSR), deep learning models are trained to detect and classify images of traffic signs. The amount of data available to train these models is often limited, and collecting more data is time-consuming and expensive. READ MORE
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4. Text to Music Audio Generation using Latent Diffusion Model : A re-engineering of AudioLDM Model
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the emerging field of audio generation using diffusion models, this project pioneers the adaptation of the AudioLDM model framework, initially designed for text-to-daily sounds generation, towards text-to-music audio generation. This shift addresses a gap in the current scope of audio diffusion models, predominantly focused on everyday sounds. READ MORE
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5. John the Baptist Through the Lens of Generative AI : A Narrative and Reception-Historical Analysis of Mark 1
University essay from Uppsala universitet/Teologiska institutionenAbstract : This thesis addresses the intersection of reception history in biblical studies, Generative Artificial Intelligence (GAI) and phenomenology. Three images, from text prompts using different English translations of Mark 1:1–8 (KJV, NRSV and NIV) have been generated by GAI. READ MORE