Sökning: "Uppmärksamhetsmekanism"
Visar resultat 1 - 5 av 6 uppsatser innehållade ordet Uppmärksamhetsmekanism.
1. Biodiversity Monitoring Using Machine Learning for Animal Detection and Tracking
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : As an important indicator of biodiversity and ecological environment in a region, the number and distribution of animals has been given more and more attention by agencies such as nature reserves, wetland parks, and animal protection supervision departments. To protect biodiversity, we need to be able to detect and track the movement of animals to understand which animals are visiting the space. LÄS MER
2. Exploring the Use of Attention for Generation Z Fashion Style Recognition with User Annotations as Labels
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : As e-commerce and online shopping have increased worldwide, the interest and research of intelligent fashion systems have expanded. Given the competitive nature of the fashion market business, digital marketplaces depend on determining customer preferences. LÄS MER
3. Matching Trades with Confirmations via Contrastive Learning : Asymmetric Contrastive Learning on Text Data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In the banking world trades of securities are finalized every day, on behalf of the banks themselves or of their clients. When the trades have been booked by the front office the confirmations sent by the counterparty have to be checked and connected to the correct trade by hand, posing the question whether this process could not be automated using machine learning techniques. LÄS MER
4. Hierarchical Fusion Approaches for Enhancing Multimodal Emotion Recognition in Dialogue-Based Systems : A Systematic Study of Multimodal Emotion Recognition Fusion Strategy
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Multimodal Emotion Recognition (MER) has gained increasing attention due to its exceptional performance. In this thesis, we evaluate feature-level fusion, decision-level fusion, and two proposed hierarchical fusion methods for MER systems using a dialogue-based dataset. LÄS MER
5. Deep Learning for Prostate Cancer Risk Prediction Through Image Analysis of Cells
Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : Prostate cancer is one of the most common types of cancer occurring in men. Several types of research have been done using deep learning methods for the classification/prediction of cancer grades. In this thesis, the results of prostate cancer risk prediction, based only on the images of cells from the prostate tissues, have been analyzed. LÄS MER