Sökning: "semi-supervised clustering"

Visar resultat 1 - 5 av 13 uppsatser innehållade orden semi-supervised clustering.

  1. 1. Condition Monitoring Of Machine Components From Drive Data Using Semi-Supervised Anomaly Detection Methods

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Tim Leon WyWiol; [2023]
    Nyckelord :;

    Sammanfattning : The mission of the machine manufacturer is to gain insights from machine data to increase their machines' efficiency and sustainability. Continuously monitoring the machine data with machine learning helps to detect emerging mechanical problems and prevents unexpected failures. LÄS MER

  3. 2. Impact of the autoencoder-based FINTA tractogram filtering method on brain networks in subjects with Mild Cognitive Impairment

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Teodor Pstrusiński; [2023]
    Nyckelord :Tractography; Autoencoder; diffusion MRI; Filtering; Graph; Connectome; Traktografi; Autoencoder; diffusions MRT; Filtrering; Graf; Konnektom;

    Sammanfattning : Diffusion Magnetic Resonance Imaging (dMRI) is a method for measuring molecular diffusion in biological tissue microstructure. This information can be used to predict the location and orientation of white matter fibers in the brain, a process known as tractography. LÄS MER

  4. 3. Computer Vision in Fitness: Exercise Recognition and Repetition Counting

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Anna Barysheva; [2022]
    Nyckelord :Exercise classification; human action recognition; repetition counting; skeletal motion recognition; unsupervised machine learning; Övningsklassificering; igenkänning av mänsklig handling; upprepningsräkning; igenkänning av skelettrörelse; oövervakad maskininlärning;

    Sammanfattning : Motion classification and action localization have rapidly become essential tasks in computer vision and video analytics. In particular, Human Action Recognition (HAR), which has important applications in clinical assessments, activity monitoring, and sports performance evaluation, has drawn a lot of attention in research communities. LÄS MER

  5. 4. Lost in Transcription : Evaluating Clustering and Few-Shot learningfor transcription of historical ciphers

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Giacomo Magnifico; [2021]
    Nyckelord :Image Recognition; Handwritten Text Recognition; HTR; Deep-learning; K-mean clustering; NN; Neural Network; Few-Shot;

    Sammanfattning : Where there has been a steady development of Optical Character Recognition (OCR) techniques for printed documents, the instruments that provide good quality for hand-written manuscripts by Hand-written Text Recognition  methods (HTR) and transcriptions are still some steps behind. With the main focus on historical ciphers (i.e. LÄS MER

  7. 5. Semi-Supervised Learning for Predicting Biochemical Properties

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Travis Persson; [2021]
    Nyckelord :;

    Sammanfattning : The predictive performance of supervised learning methods relies on large amounts of labeled data. Data sets used in Quantitative Structure Activity Relationship modeling often contain a limited amount of labeled data, while unlabeled data is abundant. LÄS MER