Search for dissertations about: "digital image"
Showing result 1 - 5 of 2977 swedish dissertations containing the words digital image.
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1. Digital innovation management : investigating digital trace data in online communities
Abstract : Firms and individuals are interacting online on an unprecedented scale. These interactions may lead to new digital products, services and practices, all of which are manifestations of digital innovation. This process relies on records users leave on various digital platforms which carry information about their activities – digital trace data. READ MORE
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2. Archaeological Challenges, Digital Possibilities : Digital Knowledge Development and Communication in Contract Archaeology
Abstract : This research concerns the digitalisation of archaeology, with a focus on Swedish contract archaeology. The aim is to understand how the archaeological discipline relates to the change that digitalisation brings and human involvement in these processes. READ MORE
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3. Digital Intimacies : Doing Digital Media Differently
Abstract : Digital media have become an integral part of many people’s everyday lives and constitute an intimate presence therein. Utilizing the concept of digital intimacy to focus on these recent developments, this doctoral dissertation takes the perspectives of feminist cultural studies and affect theory to analyze how digital media are becoming more intimate and how in turn intimacy is remediated within digital cultures. READ MORE
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4. Digital Geometry and Khalimsky Spaces
Abstract : Digital geometry is the geometry of digital images. Compared to Euclid’s geometry, which has been studied for more than two thousand years, this field is very young.Efim Khalimsky’s topology on the integers, invented in the 1970s, is a digital counterpart of the Euclidean topology on the real line. READ MORE
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5. Representation Learning and Information Fusion : Applications in Biomedical Image Processing
Abstract : In recent years Machine Learning and in particular Deep Learning have excelled in object recognition and classification tasks in computer vision. As these methods extract features from the data itself by learning features that are relevant for a particular task, a key aspect of this remarkable success is the amount of data on which these methods train. READ MORE