Essays about: "Semi- Supervised Learning"
Showing result 26 - 30 of 85 essays containing the words Semi- Supervised Learning.
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26. Lost in Transcription : Evaluating Clustering and Few-Shot learningfor transcription of historical ciphers
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : Where there has been a steady development of Optical Character Recognition (OCR) techniques for printed documents, the instruments that provide good quality for hand-written manuscripts by Hand-written Text Recognition methods (HTR) and transcriptions are still some steps behind. With the main focus on historical ciphers (i.e. READ MORE
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27. Semi-Supervised Adaptive Object Detection for Efficient PrecisionAgriculture
University essay from Örebro universitet/Institutionen för naturvetenskap och teknikAbstract : Existing supervised learning-based detectors for precision agriculturehave previously achieved high accuracy in challenging classificationtasks. However, their performance deteriorate when presented with new environmentsdue to variations in observed objects and surrounding environment. READ MORE
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28. Semi-Supervised Training with One-stage Object Detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Training a specialized object detection model requires large amounts of labeled data that may not be easily obtainable. In contrast, large amounts of unlabeled data relevant to the task are often available. In this report a semi-supervised approach that increases the amount of training data by adding soft labels is examined. READ MORE
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29. A comparison of supervised and semi-supervised learning for classification of truck stop locations
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : GPS-based data has been an important source for researchers and commercial fleet companies to study and build transportation models, since GPS uses passive information collecting without including too much human participation, and thus provides the possibility of collecting huge amount of data. Recent research shows that the GPS data can be used to solve different kinds of transportation related problems using machine learning algorithms. READ MORE
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30. Semi-Supervised Learning for Predicting Biochemical Properties
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The predictive performance of supervised learning methods relies on large amounts of labeled data. Data sets used in Quantitative Structure Activity Relationship modeling often contain a limited amount of labeled data, while unlabeled data is abundant. READ MORE
