Essays about: "one-class classifier"
Showing result 1 - 5 of 6 essays containing the words one-class classifier.
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1. Automating Root Cause Analysis of Anomalies in Ericsson Wallet Platform using Machine Learning
University essay from Blekinge Tekniska HögskolaAbstract : Background: In this era of mobile wallet platforms, to ensure key requirements like high availability and performance, the company must have mechanisms in place to detect anomalies at any given point in time. Ericsson Wallet Platform(EWP), a mobile wallet platform, is facing the problem of manually analyzing all the logs and reports and taking comprehensive action decisions accordingly. READ MORE
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2. Semi-supervised anomaly detection in mask writer servo logs : An investigation of semi-supervised deep learning approaches for anomaly detection in servo logs of photomask writers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Semi-supervised anomaly detection is the setting, where in addition to a set of nominal samples, predominantly normal, a small set of labeled anomalies is available at training. In contrast to supervised defect classification, these methods do not learn the anomaly class directly and should have better generalization capability as new kinds of anomalies are introduced at test time. READ MORE
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3. Modification of the RusBoost algorithm : A comparison of classifiers on imbalanced data
University essay from Umeå universitet/StatistikAbstract : In many situations data is imbalanced, meaning the proportion of one class is larger than the other(s). Standard classifiers often produce undesirable results when the data is imbalanced and different methods have been developed in the attempt to improve classification under such conditions. READ MORE
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4. A Scalable Approach for Detecting Dumpsites using Automatic Target Recognition with Feature Selection and SVM through Satellite Imagery
University essay from Uppsala universitet/Avdelningen för visuell information och interaktionAbstract : Throughout the world, there is a great demand to map out the increasing environmental changes and life habitats on Earth. The vast majority of Earth Observations today, are collected using satellites. READ MORE
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5. RGB and Multispectral UAV image classification of agricultural fields using a machine learning algorithm
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : A common technique within image analysis is image classification which describes the process of reducing the information content of an image into few user-defined classes. With the emergence of unmanned aerial vehicles (UAVs), high spatial resolution (cm-level) images can be collected. READ MORE
