Search for dissertations about: "sequence recognition"
Showing result 1 - 5 of 165 swedish dissertations containing the words sequence recognition.
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1. Protein–DNA Recognition : In Vitro Evolution and Characterization of DNA-Binding Proteins
Abstract : DNA-recognizing proteins are involved in a multitude of important life-processes. Therefore, it is of great interest to understand the underlying mechanisms that set the rules for sequence specific protein–DNA interactions. Previous attempts aiming to resolve these interactions have been focused on naturally occurring systems. READ MORE
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2. Lip-motion biometrics for audio-visual identity recognition
Abstract : Biometric recognition systems have been established as powerful security tools to prevent unknown users from entering high risk systems and areas. They are increasingly being utilized in surveillance and access management (city centers, banks, etc.) by using individuals' physical or biological characteristics. READ MORE
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3. Invariancy Methods for Points, Curves and Surfaces in Computational Vision
Abstract : Many issues in computational vision can be understood from the interplay between camera geometry and the structure of images and objects. Typically, the image structure is available and the goal is to reconstruct object structure and camera geometry. This is often difficult due to the complex interdependence between these three entities. READ MORE
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4. Lip-motion and speech biometrics in person recognition
Abstract : Biometric identification techniques are frequently used to improve security, e.g. in financial transactions, computer networks and secure critical locations. The purpose of biometric authentication systems is to verify an individual by her biological characteristics including those generating characterisitic behaviour. READ MORE
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5. Cognition Rehearsed : Recognition and Reproduction of Demonstrated Behavior
Abstract : The work presented in this dissertation investigates techniques for robot Learning from Demonstration (LFD). LFD is a well established approach where the robot is to learn from a set of demonstrations. The dissertation focuses on LFD where a human teacher demonstrates a behavior by controlling the robot via teleoperation. READ MORE