Essays about: "Supervised Anomaly Detection"
Showing result 1 - 5 of 41 essays containing the words Supervised Anomaly Detection.
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1. Football Trajectory Modeling Using Masked Autoencoders : Using Masked Autoencoder for Anomaly Detection and Correction for Football Trajectories
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Football trajectory modeling is a powerful tool for predicting and evaluating the movement of a football and its dynamics. Masked autoencoders are scalable self-supervised learners used for representation learning of partially observable data. READ MORE
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2. Condition Monitoring Of Machine Components From Drive Data Using Semi-Supervised Anomaly Detection Methods
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The mission of the machine manufacturer is to gain insights from machine data to increase their machines' efficiency and sustainability. Continuously monitoring the machine data with machine learning helps to detect emerging mechanical problems and prevents unexpected failures. READ MORE
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3. Anomaly Detection with Machine Learning using CLIP in a Video Surveillance Context
University essay from Linköpings universitet/DatorseendeAbstract : This thesis explores the application of Contrastive Language-Image Pre-Training (CLIP), a vision-language model, in an automated video surveillance system for anomaly detection. The ability of CLIP to perform zero-shot learning, coupled with its robustness against minor image alterations due to its lack of reliance on pixel-level image analysis, makes it a suitable candidate for this application. READ MORE
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4. Applying Machine Learning Techniques for Anomaly Detection in Wooden Plank Images
University essay from Uppsala universitet/Avdelningen Vi3Abstract : Anomaly detection is an important first step of quality control in manufacturing processes. In wooden planks, anomalies such as broken knots and resin pockets can lower the quality of the final product. With the help of machine vision, inspections can be made faster, at higher accuracy, and at a lower cost. READ MORE
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5. Anomaly detection in surveillance camera data
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : The importance of detecting anomalies in surveillance camera data cannot be overemphasized. With the increasing availability of surveillance cameras in public and private locations, the need for reliable and effective methods to detect anomalous behavior has become critical to public safety. READ MORE
