Sökning: "semi-supervised learning"

Visar resultat 21 - 25 av 78 uppsatser innehållade orden semi-supervised learning.

1. 21. Application of Machine Learning Algorithms for Post Processing of Reference Sensors

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :VASILIKI LAMPROUSI; [2021-04-01]
   Nyckelord :Object detection; machine learning; camera; sensors; semi-supervised learning;

   Sammanfattning : The Autonomous Drive (AD) systems and Advanced Driver Assistance Systems (ADAS) in the current and future generations of vehicles include a large number of sensors which are used to perceive the vehicle’s surroundings. The production sensors of these vehicles are verified and validated against reference data that are originated from high-accurate reference sensors that are placed in a reference roof box at the top of the vehicle. LÄS MER

3. 22. Style Transfer Paraphrasing for Consistency Training in Sentiment Classification

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Núria Casals; [2021]
   Nyckelord :Semi-Supervised Learning; Data Augmentation; Sentiment Classification; Neural Paraphrasing; Semi-övervakad inlärning; Data förändring; Sentimentklassificering; Neural parafrasering;

   Sammanfattning : Text data is easy to retrieve but often expensive to classify, which is why labeled textual data is a resource often lacking in quantity. However, the use of labeled data is crucial in supervised tasks such as text classification, but semi-supervised learning algorithms have shown that the use of unlabeled data during training has the potential to improve model performance, even in comparison to a fully supervised setting. LÄS MER

4. 23. Lost in Transcription : Evaluating Clustering and Few-Shot learningfor transcription of historical ciphers

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Giacomo Magnifico; [2021]
   Nyckelord :Image Recognition; Handwritten Text Recognition; HTR; Deep-learning; K-mean clustering; NN; Neural Network; Few-Shot;

   Sammanfattning : 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. LÄS MER

5. 24. Semi-Supervised Adaptive Object Detection for Efficient PrecisionAgriculture

   Uppsats för yrkesexamina på avancerad nivå, Örebro universitet/Institutionen för naturvetenskap och teknik

   Författare :Humam Amouri; [2021]
   Nyckelord :;

   Sammanfattning : 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. LÄS MER

7. 25. Semi-Supervised Training with One-stage Object Detection

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Nancy Xu; [2021]
   Nyckelord :;

   Sammanfattning : 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. LÄS MER