Sökning: "Vector Embedding"
Visar resultat 1 - 5 av 30 uppsatser innehållade orden Vector Embedding.
1. Planet-NeRF : Neural Radiance Fields for 3D Reconstruction on Satellite Imagery in Season Changing Environments
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : This thesis investigates the seasonal predictive capabilities of Neural Radiance Fields (NeRF) applied to satellite images. Focusing on the utilization of satellite data, the study explores how Sat-NeRF, a novel approach in computer vision, per- forms in predicting seasonal variations across different months. LÄS MER
2. A lightweight deep learning architecture for text embedding : Comparison between the usage of Transformers and Mixers for textual embedding
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Text embedding is a widely used method for comparing pieces of text together by mapping them to a compact vector space. One such application is deduplication which consists in finding textual records that refer to the same underlying idea in order to merge them or delete one of them. LÄS MER
3. Constructing and representing a knowledge graph(KG) for Positive Energy Districts (PEDs)
Master-uppsats, Högskolan Dalarna/Institutionen för information och teknikSammanfattning : In recent years, knowledge graphs(KGs) have become essential tools for visualizing concepts and retrieving contextual information. However, constructing KGs for new and specialized domains like Positive Energy Districts (PEDs) presents unique challenges, particularly when dealing with unstructured texts and ambiguous concepts from academic articles. LÄS MER
4. Detecting Dissimilarity in Discourse on Social Media
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Matematiska institutionenSammanfattning : A lot of interaction between humans take place on social media. Groups and communities are sometimes formed both with and without intention. These interactions generate a large quantity of text data. This project aims to detect dissimilarity in discourse between communities on social media using a distributed approach. LÄS MER
5. Evaluation of the performance of machine learning techniques for email classification
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Manual categorization of a mail inbox can often become time-consuming. Therefore many attempts have been made to use machine learning for this task. One essential Natural Language Processing (NLP) task is text classification, which is a big challenge since an NLP engine is not a native speaker of any human language. LÄS MER