Essays about: "person detection"
Showing result 1 - 5 of 106 essays containing the words person detection.
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1. Credit Card Fraud Detection by Nearest Neighbor Algorithms
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : As the usage of internet banking and online purchases have increased dramatically in today’s world, the risk of fraudulent activities and the number of fraud cases are increasing day by day. The most frequent type of bank fraud in recent years is credit card fraud which leads to huge financial losses on a global level. READ MORE
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2. Solutions for presence detection in an intercom door station
University essay from Lunds universitet/Industriell elektroteknik och automationAbstract : In this work, different solutions for human presence detection in a door intercom device are examined. The study was conducted at a company in Lund, Sweden. READ MORE
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3. MISK-Moves
University essay from Lunds universitet/Certec - Rehabiliteringsteknik och DesignAbstract : Move-to-play is a musical instrument for persons with both cognitive and physical impairments, who would have trouble playing traditional instruments. Everyone, no matter their abilities, are given the chance to play and control music by moving their own body. READ MORE
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4. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE
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5. The effect of model calibration on noisy label detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The advances in deep neural networks in recent years have opened up the possibility of using image classification as a valuable tool in various areas, such as medical diagnosis from x-ray images. However, training deep neural networks requires large amounts of annotated data which has to be labelled manually, by a person. READ MORE