Essays about: "Irrelevant features"

Showing result 1 - 5 of 19 essays containing the words Irrelevant features.

  1. 1. The role of sustainability award logos and other visual elements in the formation of a sustainable destination image

    University essay from Göteborgs universitet/Graduate School

    Author : Camilla Ghezzi; Maryam Mehdizadeh Dehkordi; [2023-07-03]
    Keywords : sustainable destination image; sustainability certifications; sustainable tourism; visual elements; eye-trackers; GDSI award;

    Abstract : Pivotal in tourism is the destination image, since it influences the desire to travel to a destination. Being able to successfully form a sustainable destination image is crucial for the flourishing of sustainable tourism. READ MORE

  3. 2. Enhancing person re-identification: leveraging DensePose for improving occlusion handling and generalization

    University essay from Lunds universitet/Matematik LTH

    Author : Björn Elwin; Anton Fredriksson; [2023]
    Keywords : Mathematics and Statistics;

    Abstract : In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. READ MORE

  4. 3. Online Users’ Attitude Towards Web Tracking & Its Potential Effects On Future Web Analytics Tools

    University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Author : Ida Lam; Mathilda Börtz; [2022]
    Keywords : web tracking; web analytics; online users; online ethics;

    Abstract : The topic of the thesis was proposed by the company X. The purpose of the thesis is to gather an understanding of how online users perceive web tracking and web analytics. READ MORE

  5. 4. Evaluating the effects of data augmentations for specific latent features : Using self-supervised learning

    University essay from KTH/Hälsoinformatik och logistik

    Author : Markus Ingemarsson; Jacob Henningsson; [2022]
    Keywords : Contrastive learning; data augmentations; deep learning; invariant features; machine learning; representation similarity analysis; self-supervised learning; SimCLR; Kontrast inlärning; datamodifieringar; djupinlärning; maskininlärning; SimCLR; självövervakat lärande; oföränderliga egenskaper; representativ likhetsanalys;

    Abstract : Supervised learning requires labeled data which is cumbersome to produce, making it costly and time-consuming. SimCLR is a self-supervising framework that uses data augmentations to learn without labels. This thesis investigates how well cropping and color distorting augmentations work for two datasets, MPI3D and Causal3DIdent. READ MORE

  6. 5. Text Content Features for Hybrid Recommendations : Pre-trained Language Models for Better Recommendations

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

    Author : Mariya Lazarova; [2021]
    Keywords : Recommendation Systems; Natural Language Processing; Pre-trained language models; BERT; Two-tower networks; Rekommendationssystem; Naturlig språkbehandling; Förtränande språkmodeller; BERT; Två-tornnätverk.;

    Abstract : Nowadays, with the ever growing availability of options in many areas of our lives, it is crucial to have good ways to navigate your choices. This is why recommendation engines’ role is growing more important. Recommenders are often based on user-item interaction. READ MORE