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Space Space Revolution - Using Dance Pads in a New Exergame to Promote Physical Exertion
(Master thesis, 2022)Denne masteroppgaven sitt formål er å lage og evaluere et nytt treningsspill som skal bidra til å øke det fysiske aktivitetsnivået i befolkningen. Treningsspill er videospill som krever fysisk aktivitet for å spilles. De ... -
Space Space Revolution - Using Dance Pads in a New Exergame to Promote Physical Exertion
(Master thesis, 2022)Denne masteroppgaven sitt formål er å lage og evaluere et nytt treningsspill som skal bidra til å øke det fysiske aktivitetsnivået i befolkningen. Treningsspill er videospill som krever fysisk aktivitet for å spilles. De ... -
Space-time series clustering: Algorithms, taxonomy, and case study on urban smart cities
(Journal article; Peer reviewed, 2020)This paper provides a short overview of space–time series clustering, which can be generally grouped into three main categories such as: hierarchical, partitioning-based, and overlapping clustering. The first hierarchical ... -
The SPADES Framework for Scalable Management of Spatio-textual Data
(Chapter, 2020)This paper presents the research activities in the context of the SPADES project for scalable indexing and processing of big spatial and spatio-textual data. Management of spatio-textual data raises challenges due to the ... -
Sparse coded handcrafted and deep features for colon capsule video summarization
(Journal article, 2017)Capsule endoscopy, which uses a wireless camera to take images of the digestive track, is emerging as an alternative to traditional wired colonoscopy. A single examination produces a sequence of approximately 50,000 frames. ... -
Sparse factorization of square matrices with application to neural attention modeling
(Peer reviewed; Journal article, 2022)Square matrices appear in many machine learning problems and models. Optimization over a large square matrix is expensive in memory and in time. Therefore an economic approximation is needed. Conventional approximation ... -
Spatial Orientation in Cardiac Ultrasound Images Using Mixed Reality: Design and Evaluation
(Peer reviewed; Journal article, 2022)Spatial orientation is an important skill in structural cardiac imaging. Until recently, 3D cardiac ultrasound has been visualized on a flat screen by using volume rendering. Mixed reality devices enhance depth perception, ... -
Spatial Resolution Enhancement of Hyperspectral Images from Miniaturized Sensors
(Peer reviewed; Journal article, 2023)Here we describe and mitigate issues of optical aberrations related to wavelength-dependent blur caused by miniaturization in hyperspectral pushbroom image sensors, which degrade spatial resolution and limit their usefulness. ... -
Spatial Statistics of Term Co-occurrences for Location Prediction of Tweets
(Journal article; Peer reviewed, 2018)Predicting the locations of non-geotagged tweets is an active research area in geographical information retrieval. In this work, we propose a method to detect term co-occurrences in tweets that exhibit spatial clustering ... -
Spatially sensitive statistical shape analysis for pedestrian recognition from LIDAR data
(Journal article, 2018)Range-based pedestrian recognition is instrumental towards the development of autonomous driving and driving assistance systems. This work introduces encoding methods for pedestrian recognition, based on statistical shape ... -
Spatio-Temporal Colour Correction of Strongly Degraded Films
(Master thesis, 2010)The archives of motion pictures represent an important part of precious cultural heritage. But unfortunately, these collections of cinematography are vulnerable to different types of distortions; specially, the effect ... -
Spatio-Temporal Databases for Indoor Positioning Systems
(Master thesis, 2005)We have discussed two related topics in this thesis: the design of location models and spatio-temporal databases for indoor positioning systems. We conclude our work with a short recapitulation of the main issues presented ... -
Spatio-Temporal Graph Attention Network for Anomaly Detection in the Telco Domain
(Master thesis, 2021)På de neste sidene er masteroppgaven vår om hvordan de nylige fremskrittene i dyplæringsarkitekturer, nemlig grafnevrale nettverk, kan utføre feildeteksjon uten tilsyn, i telekommunikasjonsdomenet (telco). Dette arbeidet ... -
Spatio-Temporal Graph Attention Network for Anomaly Detection in the Telco Domain
(Master thesis, 2021)På de neste sidene er masteroppgaven vår om hvordan de nylige fremskrittene i dyplæringsarkitekturer, nemlig grafnevrale nettverk, kan utføre feildeteksjon uten tilsyn, i telekommunikasjonsdomenet (telco). Dette arbeidet ... -
Spatio-Temporal Quality Issues for Local Search
(Chapter, 2014)Geographic search is routinely used in many services and applications that exploit the availability of Web content which is related to a real world place, region or object. However, do you trust the location information? ... -
Spatio-Temporal Retinex-Inspired Envelope with Anisotropic Diffusion
(Master thesis, 2023)Flere algoritmer har tidligere blitt foreslått for spatiell fargekorrigering av bilder. En av disse algoritmene er STRESS, en Retinex-inspirert algortime som bruker stokastisk sampling for å lage omhyllingskurver. Denne ... -
Spatio-textual search on Spark
(Master thesis, 2017)The amount of spatially aware data is growing at a rapid rate, and challenges both processing and organizing such data is in focus in the scientific world and the industry. But spatial data seldom exists alone, usually ... -
Spatiotemporal keyword search on RDF graphs
(Master thesis, 2020)Denne oppgaven tar for seg metoder for nøkkelord søk i RDF data, med mål om å finne hvilke aspekter som er nødvendig for å kunne gjennomføre søk med høy nøyaktighet og hastighet. For å oppnå dette vil tidligere metoder bli ... -
Spatio–Temporal Retinex–Inspired Envelopes with Anisotropic Diffusion
(Peer reviewed; Journal article, 2023)Since the introduction of the Retinex theory by Land and McCann in 1971, a multitude of different families, versions, interpretations, implementations, and applications have been proposed. The applications for image ... -
A Specialized BTB Organization for Servers
(Chapter, 2022)Contemporary server applications feature massive instruction footprints stemming from deeply layered software stacks. These footprints far exceed the capacity of the branch target buffer (BTB) and instruction cache (L1-I), ...