Sökning: "Positional Encoding"

Hittade 5 uppsatser innehållade orden Positional Encoding.

1. 1. A study of transfer learning on data-driven motion synthesis frameworks

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

   Författare :Nuo Chen; [2022]
   Nyckelord :Transfer learning; data-driven motion synthesis; objective-driven motion generation; rig-agnostic encoding; deep learning-based clustering model; procedural animation; Kunskapsöverföring; data-driven rörelsesyntetisering; procedurell animation; mål-driven animation-genereringsmodel; rig-agnostisk-kodning; djupinlärningsbaserad klusteringsmodel;

   Sammanfattning : Various research has shown the potential and robustness of deep learning-based approaches to synthesise novel motions of 3D characters in virtual environments, such as video games and films. The models are trained with the motion data that is bound to the respective character skeleton (rig). LÄS MER

3. 2. Tree positional encodings for transformer models on HTML DOM tree element classification : Enabling structurally aware transformer models through positional encodings to improve performance on an HTML element classification problem

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

   Författare :Gustave Rousselet; [2021]
   Nyckelord :Transformer; Positional Encoding; HTML; DOM; Tree; Element; Transformer; Positionskodning; HTML; DOM; Träd; Element;

   Sammanfattning : With the continued proliferation of access and the usage of the internet, the field of web learning is continuously growing in order to automate and improve parts of our experience on the web. Research in web learning has often lagged behind its counterparts in Natural Language Processing (NLP), novel methods often reach adoption in web learning research with a delay. LÄS MER

4. 3. Multi-task regression QSAR/QSPR prediction utilizing text-based Transformer Neural Network and single-task using feature-based models

   Master-uppsats, Linköpings universitet/Statistik och maskininlärning

   Författare :Spyridon Dimitriadis; [2021]
   Nyckelord :multi-task regression; QSAR; QSPR; deep learning; attention based models; transfer learning;

   Sammanfattning : With the recent advantages of machine learning in cheminformatics, the drug discovery process has been accelerated; providing a high impact in the field of medicine and public health. Molecular property and activity prediction are key elements in the early stages of drug discovery by helping prioritize the experiments and reduce the experimental work. LÄS MER

5. 4. Improving Conventional Image-based 3D Reconstruction of Man-made Environments Through Line Cloud Integration

   Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska högskolan

   Författare :Martin Gråd; [2018]
   Nyckelord :Image-based 3D reconstruction; SfM; MVS; Poisson surface reconstruction; line cloud; point cloud; PCA; k-d tree;

   Sammanfattning : Image-based 3D reconstruction refers to the capture and virtual reconstruction of real scenes, through the use of ordinary camera sensors. A common approach is the use of the algorithms Structure from Motion, Multi-view Stereo and Poisson Surface Reconstruction, that fares well for many types of scenes. LÄS MER

7. 5. Inverkan av positionella effekter, promotorer och terminatorer på proteinexpression, exemplifierat med multiprotein influenza-viruslika partiklar

   Master-uppsats, KTH/Skolan för bioteknologi (BIO)

   Författare :Beatrice Höglund; [2014]
   Nyckelord :Virus-like particles; influenza vaccine; baculovirus; insect cell culture; recombinant production;

   Sammanfattning : The existing seasonal influenza vaccine does not provide broad long-term protection against seasonal influenza and must be remanufactured yearly due to frequens mutations and reassortment of theinfluenza genes. A universal influenza vaccine with the ability to raise long lasting immunity is the focus of several studies, including the Edufluvac project. LÄS MER