Search for dissertations about: "Face"
Showing result 1 - 5 of 1537 swedish dissertations containing the word Face.
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1. FACE : Disabled People, Technology and Internet
Abstract : This thesis is based on the Internet experiences of people withsignificant mobility/physical impairments who are proficient andexperienced computer users in their computer world but havelimitations in mobility that severely restrict their functioning inthe physical world. The Internet functioning of this group isanalysed by means of the factors attitude, control and enabling,with the main focus on what is achievable when all accessproblems such as unadapted interfaces, beginners’ difficulties andthe digital divide are overcome. READ MORE
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2. Face Recognition : A Single View Based HMM Approach
Abstract : This dissertation addresses the challenges of giving computers the ability of doing face recognition, i.e. discriminate between different faces. Face recognition systems are commonly trained with a database of face images, becoming “familiar” with the given faces. READ MORE
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3. Face in cyberspace : Facework, (im)politeness and conflict in English discussion groups
Abstract : The purpose of the current study is to explore the discourse strategies and linguistic resources employed by the participants in English electronic discussion fora when handling ‘face’ (public self-image) and conflict online.Two data sets were collected from the moderated Musiclassical mailing list and from the non-moderated alt. READ MORE
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4. The Face of Sleep Loss
Abstract : Sleep deprivation has been studied for over a century, providing knowledge about the benefits of sleep for many physiological, cognitive, and behavioural functions. However, there have only been anecdotal indications about what a tired or sleep-deprived person looks like, despite the fact that appearance influences not only how other people perceive a person but also how they evaluate them and behave towards them. READ MORE
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5. Human Face Identification and Face Attribute Prediction : From Gabor Filtering to Deep Learning
Abstract : After decades of research, it is exciting to see that face recognition technology has entered a most flourishing era. Driven by the latest development in data science and especially technical evolutions in computer vision and pattern recognition, face recognition has achieved significant progress over the last three years. READ MORE