Blar i NTNU Open på forfatter "Langseth, Helge"
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The Betting Machine: Using in-depth match statistics to compute future probabilities of football match outcomes using the Gibbs sampler
Ellefsrød, Martin Belgau (Master thesis, 2013)Football is one of the most, if not the most, popular sporting games in the world, both played and watched by millions of people from all over the world almost daily, certainly weekly. Though most of those who place weekly ... -
The importance of disentanglement when learning representations
Bjøru, Anna Rodum (Master thesis, 2021)I jakten på generaliserbare, robuste maskinlæringsalgoritmer, samt økt dataeffektivitet, har fagfeltet ”disentangled representation learning” i de senere år utviklet seg i en lovende retning, og feltet har vært gjenstand ... -
Tourist Without a Cause
Kofod-Petersen, Anders; Langseth, Helge (Chapter, 2010)Location-based recommender systems in the tourist domain are increasingly becoming more and morepopular. However, these systems typically suffer from two problems: Not having sufficient information aboutthe user results ... -
Traffic sign anomaly detection with unsupervised learning
Husby, Olav (Master thesis, 2020)Nåværende har Statens Vegvesen (SVV) og andre veg-etater ansatt et stort antall utlærte individer for å gjøre manuell befaring av veisystemet. Denne oppgaven utforsker bruken av uovervåket avviks-deteksjon for å redusere ... -
Transfer Learning for HVAC Control using Deep Reinforcement Learning
Flagstad, Tinus Sola; Iveland, Torjus Tønnessen (Master thesis, 2021) -
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention
Zeng, Ming; Gao, Haoxiang; Yu, Tong; Mengshoel, Ole Jakob; Langseth, Helge; Lane, Ian; Liu, Xiaobing (Chapter, 2018)Deep neural networks, including recurrent networks, have been successfully applied to human activity recognition. Unfortunately, the final representation learned by recurrent networks might encode some noise (irrelevant ... -
User Adaptation in Anonymous Web Applications
Myrlund, Jonas (Master thesis, 2014)The goal of the project in this thesis is to explore the viability of an approach to user adaptation where the application context is significantly more constraining than in most cases seen in previous academic work.The ... -
User Adaptation in Anonymous Web Applications
Myrlund, Jonas (Master thesis, 2014)The goal of the project in this thesis is to explore the viability of an approach to user adaptation where the application context is significantly more constraining than in most cases seen in previous academic work. The ... -
Using Artificial Neural Networks to Model Running Speed in Orienteering
Samuelsen, Øystein Jaren (Master thesis, 2012)This thesis concerns the modeling of running speed in orient-eering by means of multi-layered feed forward artificial neu-ral networks with Backpropagation learning, using GPS tracks of orienteers, an orienteering map and ... -
Using similarity learning to enable decision support in aquaculture
Mathisen, Bjørn Magnus (Doctoral theses at NTNU;2021:331, Doctoral thesis, 2021)Aquaculture (AQ) is an industry that cultivates food in water. This includes many types of seafood such as salmon, trout, and whitefish, as well as shellfish and algae. Farms for seafood production are typically described ... -
Variational Inference over Nonstationary Data Streams for Exponential Family Models
Masegosa, Andres; Ramos-López, Dario; Salmeron, Antonio; Langseth, Helge; Nielsen, Thomas D. (Peer reviewed; Journal article, 2020)In many modern data analysis problems, the available data is not static but, instead, comes in a streaming fashion. Performing Bayesian inference on a data stream is challenging for several reasons. First, it requires ... -
Visual Identification of Transmission Tower Faults and Semantic Attributes using Deep Learning
Veierland, Per Magnus (Master thesis, 2018)A historical set of faults with accompanying images provided by network operator TrønderEnergi is studied in order to investigate the amount of variance within and between fault categories, and to suggest appropriate ... -
Visual Navigation of an autonomous drone
Møst, Pål Moen (Master thesis, 2014)In this thesis we have implemented and developed the necessary hardware and software solutions to transform a radio controlled quad copter into an autonomous drone. The main goal for this thesis was to safely land the drone ...