Search for dissertations about: "analysis of face recognition methods"
Showing result 1 - 5 of 9 swedish dissertations containing the words analysis of face recognition methods.
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1. Segmentation Methods for Medical Image Analysis : Blood vessels, multi-scale filtering and level set methods
Abstract : Image segmentation is the problem of partitioning an image into meaningful parts, often consisting of an object and background. As an important part of many imaging applications, e.g. face recognition, tracking of moving cars and people etc, it is of general interest to design robust and fast segmentation algorithms. READ MORE
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2. Mining Speech Sounds : Machine Learning Methods for Automatic Speech Recognition and Analysis
Abstract : This thesis collects studies on machine learning methods applied to speech technology and speech research problems. The six research papers included in this thesis are organised in three main areas. The first group of studies were carried out within the European project Synface. READ MORE
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3. Fairest of them all? : Assessment identity development among Swedish student and novice teachers of English as a foreign language
Abstract : This thesis explores language students and novice teachers’ assumptions and beliefs about assessment and grading, how they view themselves as assessors, and whether their opinions change over time with increased teaching experience. Besides exploring questions such as how student and novice teachers think about quality assessment, there is the question of what challenges teachers face in assessing one language (English), among many others known or spoken in the linguistically heterogeneous classroom. READ MORE
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4. Deliberating value : On the theory and practice of valuation of nature from neoclassical to ecological economics
Abstract : This thesis is about whether it is a good idea to place monetary value on nature, to remedy the fact that we treat it as having no particular value to us humans, although it clearly has. The thesis is based on five research papers that can be said to position themselves on opposite sides in the debate on monetisation of nature. READ MORE
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5. Data driven crop disease modeling
Abstract : The concept of precision farming deals with the creation and use of data from machinery and sensors on and off the field to optimize resources and sustainably intensify food production to keep up with increasing demand. However, in the face of a growing amount of data being collected, smarter data processing and analysis techniques are needed and have prompted the evaluation and incorporation of artificial intelligence (AI) and machine learning (ML) techniques for multiple use cases right from seeding to harvesting. READ MORE