Essays about: "spectral embedding"

Showing result 1 - 5 of 7 essays containing the words spectral embedding.

1. 1. Evaluation of the performance of machine learning techniques for email classification

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

   Author : Isabella Tapper; [2022]
   Keywords : Natural Language Processing; Text Representations; Email Classification; Text Classification; Behandling Av Naturliga Språk; Text Representation; epost-klassificering; Textklassificering;

   Abstract : 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. READ MORE

3. 2. Traffic Prediction From Temporal Graphs Using Representation Learning

   University essay from KTH/Matematisk statistik

   Author : Andreas Movin; [2021]
   Keywords : Dynamic time warping DTW ; embedding; graph convolutional networks GCN ; graph neural networks GNN ; persistent homology; spectral graph theory; temporal graphs; topological data analysis TDA ; Dynamisk time warping DTW ; inbäddning; convolutional grafnätverk GCN ; neurala grafnätverk GNN ; persistent homologi; spektral graf teori; dynamisk graf; topologisk dataanalys TDA ;

   Abstract : With the arrival of 5G networks, telecommunication systems are becoming more intelligent, integrated, and broadly used. This thesis focuses on predicting the upcoming traffic to efficiently promote resource allocation, guarantee stability and reliability of the network. READ MORE

4. 3. Experiments in speaker diarization using speaker vectors

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

   Author : Ming Cui; [2021]
   Keywords : Speaker Diarization; Embedding Extraction Module; Deep Learning; Supervised method; Unsupervised method; Talardiarisering; inbäddning av extraktionsmodul; djupinlärning; övervakad metod; oövervakad metod;

   Abstract : Speaker Diarization is the task of determining ‘who spoke when?’ in an audio or video recording that contains an unknown amount of speech and also an unknown number of speakers. It has emerged as an increasingly important and dedicated domain of speech research. READ MORE

5. 4. Efficient Discovery Of Binary Stars

   University essay from Lunds universitet/Astronomi - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation

   Author : Pablo Navarro Barrachina; [2020]
   Keywords : Binary Stars; Spectroscopic binary stars; SB2; Machine Learning; Data Mining; Physics and Astronomy;

   Abstract : Purpose: even in the era of exponential increase in the amount of stellar data gathered, binaries are still often overlooked in observational data due to the special handling they require. The goal of this work is to develop a method capable of automatically and efficiently identifying and extract double-lined spectroscopic binaries (SB2) from a spectroscopic survey, while being scalable and technically successful, and to identify and optimize the parameters that influence their detection. READ MORE

6. 5. A graph representation of event intervals for efficient clustering and classification

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

   Author : Zed Heeje Lee; [2020]
   Keywords : event intervals; bipartite graph; spectral embedding; clustering; classification; händelsesintervall; bipartitgraf; spektral inbäddning; klustering; klassificering;

   Abstract : Sequences of event intervals occur in several application domains, while their inherent complexity hinders scalable solutions to tasks such as clustering and classification. In this thesis, we propose a novel spectral embedding representation of event interval sequences that relies on bipartite graphs. READ MORE