Essays about: "deep Gaussian processes"

Showing result 1 - 5 of 6 essays containing the words deep Gaussian processes.

  1. 1. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

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

    Author : Xinchen Wang; [2024]
    Keywords : Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Abstract : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. READ MORE

  3. 2. Implementation of thermomechanical laser welding simulation : Predicting displacements of fusing A AISI304 T-JOINT

    University essay from Högskolan i Skövde/Institutionen för ingenjörsvetenskap

    Author : Anton Rolseth; Anton Gustafsson; [2021]
    Keywords : Laser welding; Finite element method; ABAQUS; Thermomechanical simulation; Heat source models; DFLUX; Element activation;

    Abstract : Laser welding is an advanced joining technique with the capability to form deep, narrow, and precise welds. Numerical models are used to simulate the process in attempts of predicting distortions and stresses in the material. This is done to reduce physical testing, optimize processes and enable integrated product- and process development. READ MORE

  4. 3. Gaussian Process Methods for Estimating Radio Channel Characteristics

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

    Author : Anton Ottosson; Viktor Karlstrand; [2020]
    Keywords : Gaussian processes; deep Gaussian processes; Bayesian methods; transfer functions; channel estimation; coher-ence bandwidth; kernel;

    Abstract : Gaussian processes (GPs) as a Bayesian regressionmethod have been around for some time. Since proven advant-ageous for sparse and noisy data, we explore the potential ofGaussian process regression (GPR) as a tool for estimating radiochannel characteristics. READ MORE

  5. 4. Statistical Modeling of Separator Processes - An Application of Gaussian Processes with Bayesian Optimization

    University essay from Lunds universitet/Matematisk statistik

    Author : Tim Svensson; [2020]
    Keywords : Gaussian process; Bayesian optimization; Separator; Mathematics and Statistics;

    Abstract : The separator is a machine with many applications, commonly used to separate liquids or solids into components with different density. Each application demands its own unique set of process parameters to achieve optimal results. Often the procedure of finding the best process parameters is conducted empirically, which can be very time consuming. READ MORE

  6. 5. Human Age Prediction Based on Real and Simulated RR Intervals using Temporal Convolutional Neural Networks and Gaussian Processes

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Maximilian Pfundstein; [2020]
    Keywords : Statistics; Machine Learning; RR; RR intervals; ECG; Gaussian Processes; Health Care; Convolutional Neural Networks; Time Series; Data Simulation; Human Age Prediction;

    Abstract : Electrocardiography (ECG) is a non-invasive method used in medicine to track the electrical pulses sent by the heart. The time between two subsequent electrical impulses and hence the heartbeat of a subject, is referred to as an RR interval. READ MORE