Now showing items 1-20 of 3550

    • A Metrological Measurement of Texture in Hyperspectral Images Using Relocated Spectral Difference Occurrence Matrix 

      Chu, Rui Jian; Richard, Noel; Fernandez-Maloigne, Christine; Hardeberg, Jon Yngve (Peer reviewed; Journal article, 2019)
      A new hyperspectral texture descriptor, Relocated Spectral Difference Occurrence Matrix (rSDOM) is proposed. It assesses the distribution of spectral difference in a given neighborhood. For metrological purposes, rSDOM ...
    • Deep Learning Approaches for Whiteboard Image Quality Enhancement 

      Abebe, Mekides Assefa; Hardeberg, Jon Yngve (Peer reviewed; Journal article, 2019)
      Different whiteboard image degradations highly reduce the legibility of pen-stroke content as well as the overall quality of the images. Consequently, different researchers addressed the problem through different image ...
    • Evaluating the naturalness and legibility of whiteboard image enhancements 

      Abebe, Mekides Assefa; Hardeberg, Jon Yngve (Peer reviewed; Journal article, 2019)
      Over the years, there have been many studies conducted for whiteboard image detection, extraction and quality enhancements. However, the image quality attributes of the streaming whiteboard contents as well as users’ ...
    • A case‑based reasoning recommender system for sustainable smart city development 

      Bokolo, Anthony Junior (Peer reviewed; Journal article, 2020)
      With the deployment of information and communication technologies (ICTs) and the needs of data and information sharing within cities, smart city aims to provide value-added services to improve citizens’ quality of life. ...
    • Out-of-the-Box Reproducibility: A Survey of Machine Learning Platforms 

      Isdahl, Richard Juul; Gundersen, Odd Erik (Chapter, 2019)
      Even machine learning experiments that are fully conducted on computers are not necessarily reproducible. An increasing number of open source and commercial, closed source machine learning platforms are being developed ...
    • Appearance perception of textiles: a tactile and visual texture study 

      Mirjalili, Fereshteh; Hardeberg, Jon Yngve (Peer reviewed; Journal article, 2019)
      Texture analysis and characterization based on human perception has been continuously sought after by psychology and computer vision researchers. However, the fundamental question of how humans truly perceive texture still ...
    • A Metrological Framework for Hyperspectral Texture Analysis Using Relative Spectral Difference Occurrence Matrix 

      Chu, Rui Jian; Richard, Noel; Ghorbel, Faouzi; Fernandez-Maloigne, Christine; Hardeberg, Jon Yngve (Peer reviewed; Journal article, 2019)
      A new hyperspectral texture descriptor, Relative Spectral Difference Occurrence Matrix (RSDOM) is proposed. Developed in a metrological framework, it simultaneously considers the distribution of spectra and their spatial ...
    • Amplified locality‐sensitive hashing‐based recommender systems with privacy protection 

      Chi, Xiaoxiao; Yan, Chao; Wang, Hao; Rafique, Wajid; Qi, Lianyong (Peer reviewed; Journal article, 2020)
      With the advent of Internet of Things (IoT) age, the variety and volume of web services have been increasing at a fast speed. This often leads to users' selections for web services more complicated. Under the circumstance, ...
    • Dimensionality reduction and visualisation of hyperspectral ink data using t-SNE 

      Melit Devassy, Binu; George, Sony (Peer reviewed; Journal article, 2020)
      Ink analysis is an important tool in forensic science and document analysis. Hyperspectral imaging (HSI) captures large number of narrowband images across the electromagnetic spectrum. HSI is one of the non-invasive tools ...
    • Exploring the Role of Large Centralised Caches in Thermal Efficient Chip Design 

      Chakraborty, Shounak; Kapoor, Hemangee K (Peer reviewed; Journal article, 2019)
      In the era of short channel length, Dynamic Thermal Management (DTM) has become a challenging task for the architects and designers engineering modern Chip Multi-Processors (CMPs). Ever-increasing demand of processing power ...
    • Similarity measure development for case-based reasoning?a data-driven approach 

      Verma, Deepika; Bach, Kerstin; Mork, Paul Jarle (Peer reviewed; Journal article, 2019)
      In this paper, we demonstrate a data-driven methodology for modelling the local similarity measures of various attributes in a dataset. We analyse the spread in the numerical attributes and estimate their distribution using ...
    • Digital sand: The becoming of digital representations 

      Østerlie, Thomas; Monteiro, Eric (Peer reviewed; Journal article, 2020)
      The versatility of digital technologies relies on a capacity to represent and subsequently manipulate algorithmically selected physical processes, objects or qualities in a domain. ‘Organizationally real’ digital representations ...
    • References to Artificial Intelligence in Canada's Court Cases 

      Intahchomphoo, Channarong; Vellino, André; Gundersen, Odd Erik; Tschirhart, Christian; Shaaban, Eslam (Peer reviewed; Journal article, 2020)
      Artificial intelligence (AI) is a widely discussed topic in many fields including law. Legal studies scholars, particularly in the domain of technology and internet law, have expressed their hopes and concerns regarding ...
    • A Data-Driven Approach for Determining Weights in Global Similarity Functions 

      Jaiswal, Amar Deep; Bach, Kerstin (Peer reviewed; Journal article, 2019)
      This paper presents a method to discover initial global similarity weights while developing a case-based reasoning (CBR) system. The approach is based on multiple feature relevance scoring methods and the relevance of ...
    • Unsupervised Clustering of Hyperspectral Paper Data Using t-SNE 

      Melit Devassy, Binu; George, Sony; Nussbaum, Peter (Peer reviewed; Journal article, 2020)
      For a suspected forgery that involves the falsification of a document or its contents, the investigator will primarily analyze the document’s paper and ink in order to establish the authenticity of the subject under ...
    • Comparison of Ink Classification Capabilities of Classic Hyperspectral Similarity Features 

      Melit Devassy, Binu; George, Sony; Hardeberg, Jon Yngve (Peer reviewed; Journal article, 2019)
      Ink classification is an active topic in historic and forensic document analysis. In this work, we compared the ink classification capabilities of five commonly used and wellproven similarity measures for classification ...
    • Mobility Analytics - Undersøkelse av mobildata for Ruter AS 

      Arnesen, Petter; Landmark, Andreas D.; Hjelkrem, Odd Andre; Södersten, Carl-Johan Hugo (Research report, 2019)
    • On the Acquisition and Reproduction of Material Appearance 

      Sole, Aditya Suneel; Gigilashvili, Davit; Midtfjord, Helene B.; Guarnera, Dar'ya; Guarnera, Giuseppe Claudio; Thomas, Jean-Baptiste; Hardeberg, Jon Yngve (Chapter, 2019)
      Currently, new technologies (e.g. 2.5D and 3D printing processes) progress at a fast pace in their capacity to (re)produce an ever-broader range of visual aspects. At the same time, a huge research effort is needed to ...
    • A CBR-ANN hybrid for dynamic environments 

      Hegdal, Sondre Steinsland; Kofod-Petersen, Anders (Peer reviewed; Journal article, 2019)
      This paper proposes a Case-based Reasoning (CBR) and Artificial Neural Network (ANN) hybrid solution for dynamic problems. In this solution, a CBR system chooses between several expert neural networks for a given case/problem. ...
    • Ranking Streaming Data With Continuous Queries 

      Skarshaug, Sandra Marie (Master thesis, 2019)
      En økende mengde data genereres som en del av digitaliseringen av samfunnet vårt. Forskning fra 2013 viser at 90% av all dataen generert i verden frem til det tidspunktet, ble generert i løpet av de to foregående årene. ...