Sökning: "Convolutions"

Visar resultat 1 - 5 av 25 uppsatser innehållade ordet Convolutions.

  1. 1. The Winograd Convolution Method

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Alexander Wallén Kiessling; Viktor Svalstedt; [2023]
    Nyckelord :Convolution; Winograd; FFT;

    Sammanfattning : The convolution operation is a powerful tool which is widely used in many disciplines.Lately is has seen much use in the area of computer vision, particularly with convolutionalneural networks. For these use cases, convolutions need to be run repeatedly many timeswhich necessitates specialized hardware. LÄS MER

  3. 2. Imitation Learning on Branching Strategies for Branch and Bound Problems

    Master-uppsats, KTH/Matematisk statistik

    Författare :Magnus Axén; [2023]
    Nyckelord :Graph Networks; Convolutions; MIP; Branch and Bound; Facility Location Problem; MDP; Imitation Learning; Graf nätverk; Faltning; Blandade heltaltsproblem; Branch and Bound; Facility Location Problem; Markov; Imitationsinlärning;

    Sammanfattning : A new branch of machine and deep learning models has evolved in constrained optimization, specifically in mixed integer programming problems (MIP). These models draw inspiration from earlier solver methods, primarily the heuristic, branch and bound. LÄS MER

  4. 3. Unsupervised Anomaly Detection in Multivariate Time Series Using Variational Autoencoders

    Magister-uppsats, Lunds universitet/Matematik LTH

    Författare :Elias Aronsson; [2023]
    Nyckelord :Anomaly Detection; Variational Autoencoder VAE ; Unsupervised Learning; Machine learning; AI; Technology and Engineering;

    Sammanfattning : In this master’s thesis, a novel unsupervised anomaly detection tool was developed in collaboration with Sandvik Rock Processing to assist engineers and experts in analyzing large amounts of sensor data from cone crushers used in the stone crushing industry. The tool focuses on analyzing power, pressure, and CSS sensor data. LÄS MER

  5. 4. AATrackT: A deep learning network using attentions for tracking fast-moving and tiny objects : (A)ttention (A)ugmented - (Track)ing on (T)iny objects

    Master-uppsats, Jönköping University/JTH, Avdelningen för datavetenskap

    Författare :Fredric Lundberg Andersson; [2022]
    Nyckelord :Machine learning; Computer vision; Visual tracking; Attentions; Tiny fast-moving object;

    Sammanfattning : Recent advances in deep learning have made it possible to visually track objects from a video sequence. Moreover, as transformers got introduced in computer vision, new state-of-the-art performances were achieved in visual tracking. LÄS MER

  7. 5. Diffusion Models for Video Prediction and Infilling : Training a conditional video diffusion model for arbitrary video completion tasks

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Tobias Höppe; [2022]
    Nyckelord :Diffusion; Video prediction and infilling; Conditional generation; Diffusion; Videoförutsägelse och ifyllnad; Villkorad generation;

    Sammanfattning : To predict and anticipate future outcomes or reason about missing information in a sequence is a key ability for agents to be able to make intelligent decisions. This requires strong temporally coherent generative capabilities. LÄS MER