Essays about: "dimensionalitetsreduktion"
Found 4 essays containing the word dimensionalitetsreduktion.
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1. Computer Vision in Fitness: Exercise Recognition and Repetition Counting
University essay from KTH/Matematik (Avd.)Abstract : Motion classification and action localization have rapidly become essential tasks in computer vision and video analytics. In particular, Human Action Recognition (HAR), which has important applications in clinical assessments, activity monitoring, and sports performance evaluation, has drawn a lot of attention in research communities. READ MORE
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2. E-noses equipped with Artificial Intelligence Technology for diagnosis of dairy cattle disease in veterinary
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The main goal of this project, running at Neurofy AB, was that developing an AI recognition algorithm also known as, gas sensing algorithm or simply recognition algorithm, based on Artificial Intelligence (AI) technology, which would have the ability to detect or predict diary cattle diseases using odor signal data gathered, measured and provided by Gas Sensor Array (GSA) also known as, Electronic Nose or simply E-nose developed by the company. Two major challenges in this project were to first overcome the noises and errors in the odor signal data, as the E-nose is supposed to be used in an environment with difference conditions than laboratory, for instance, in a bail (A stall for milking cows) with varying humidity and temperatures, and second to find a proper feature extraction method appropriate for GSA. READ MORE
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3. Membership Privacy in Neural Networks for Medical Image Segmentation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Neural networks are known to memorize parts of their training set. Therefore, whenever sensitive information is involved, releasing a trained network may constitute a privacy breach. In this thesis, we use differential privacy to train neural networks that provably protect the identity of participants. READ MORE
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4. PCA based dimensionality reduction of MRI images for training support vector machine to aid diagnosis of bipolar disorder
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This study aims to investigate how dimensionality reduction of neuroimaging data prior to training support vector machines (SVMs) affects the classification accuracy of bipolar disorder. This study uses principal component analysis (PCA) for dimensionality reduction. READ MORE
