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Showing result 1 - 5 of 10 essays matching the above criteria.

1. 1. Improving a Background Model for Tracking and Classification of Objects in LiDAR 3D Point Clouds

   University essay from Lunds universitet/Matematik LTH

   Author : Seamus Doyle; Gustav Nilsson; [2022]
   Keywords : LiDAR; Semantic Segmentation; Neural Networks; RandLA-NET; 3D Point Cloud; Gaussian Process Regression; Robust Locally Weighted Regression; CARLA; Ground Model; Technology and Engineering;

   Abstract : This thesis studied methods of improving a background model for a data processing pipeline of LiDAR point clouds. For this, two main approaches were evaluated. The first was to implement and compare three different models for detecting ground in a point cloud. These were based on more classical modeling approaches. READ MORE

3. 2. Learning Style Compatibility on Fashion Data

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

   Author : Lukas Frösslund; [2021]
   Keywords : ;

   Abstract : Fashion Recommendation can be defined as a set of systems that tries to predict and retrieve a curated and often ranked selection of fashion items based on the preference of one or more target consumers. Traditional systems relied on providing substitute recommendations, meaning that they were centered around finding similarities between fashion items. READ MORE

4. 3. Multitask Convolutional Neural Network Emulators for Global Crop Models - Supervised Deep Learning in Large Hypercubes of Non-IID Data

   University essay from Lunds universitet/Matematisk statistik

   Author : Amanda Nilsson; [2020]
   Keywords : Multitask Learning; Convolutional Neural Network CNN ; Branched Neural Network; Dynamic Global Vegetation Models DGVM ; Automated Feature Extraction; Feature Importance; Supervised Machine Learning; Emulator; Surrogate Model; Response Surface Model; Approximation Model; Metamodeling; Model Composition; Regularization; Robustness; Hyperparameter Optimization; Mathematics and Statistics;

   Abstract : The aim of this thesis is to establish whether a neural network (NN) can be used for emulation of simulated global crop production - retrieved from the computationally demanding dynamic global vegetation model (DGVM) Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS). It has been devoted to elaboration with various types of neural network architectures: Branched NNs capable of processing inputs of mixed data types; Convolutional Neural Network (CNN) architectures able to perform automated temporal feature extraction of the given weather time series; simpler fully connected (FC) structures as well as Multitask NNs. READ MORE

5. 4. Teachers’ Perceptions of Early Tracking : A Comparative Study between Teachers from the Netherlands and Sweden

   University essay from Stockholms universitet/Institutionen för pedagogik och didaktik

   Author : Robin Hölscher; [2018]
   Keywords : Early tracking; Equality of education; Perceptions of teachers;

   Abstract : Early tracking is an educational practice where students are divided into separate groups of ability. Despite many studies linking early tracking with increased inequality in education, it is a prevalent feature of education systems. READ MORE

6. 5. Keeping up with the High-Ability Students : Teachers’ Perspectives on Helping High-Ability Students in Mixed-Ability English Classes

   University essay from Linnéuniversitetet/Institutionen för utbildningsvetenskap (UV)

   Author : Londres Analyn; [2017]
   Keywords : English language teaching; mixed-ability; high-ability; differentiated instruction;

   Abstract : This paper aimed to investigate how English teachers in junior high school help and motivate high-ability students to develop their potentials in mixed-ability English classrooms. Five junior high school English teachers from two different schools in Southern Sweden participated in this study. READ MORE