Essays about: "semi-supervised learning"

Showing result 1 - 5 of 75 essays containing the words semi-supervised learning.

  1. 1. Classification of Radar Emitters using Semi-Supervised Contrastive Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Tim Jonsson; [2023]
    Keywords : ;

    Abstract : Radar is a commonly used radio equipment in military and civilian settings for discovering and locating foreign objects. In a military context, pilots being discovered by radar could have fatal consequences. READ MORE

  3. 2. RNN-based Graph Neural Network for Credit Load Application leveraging Rejected Customer Cases

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Oskar Nilsson; Benjamin Lilje; [2023]
    Keywords : Machine Learning; Deep Learning; Reject Inference; GNN; GCN; Graph Neural Networks; RNN; Recursive Neural Network; LSTM; Semi-Supervised Learning; Encoding; Decoding; Feature Elimination;

    Abstract : Machine learning plays a vital role in preventing financial losses within the banking industry, and still, a lot of state of the art and industry-standard approaches within the field neglect rejected customer information and the potential information that they hold to detect similar risk behavior.This thesis explores the possibility of including this information during training and utilizing transactional history through an LSTM to improve the detection of defaults. READ MORE

  4. 3. Meta-Pseudo Labelled Multi-View 3D Shape Recognition

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Fehmi Ayberk Uçkun; [2023]
    Keywords : 3D shape recognition; 3D object classification; 3D shape retrieval; 3D object retrieval; Automatic labelling; Semi-supervised learning; Pseudo labelling; Meta Pseudo Labelling; Multi-View Convolutional Neural Networks; Shape descriptors; Multi-view representations; Deeplearning; 3D-formigenkänning; 3D-objektklassificering; 3D-formhämtning; Hämtning av 3D-objekt; Automatisk märkning; Halv-vägledd lärning; Pseudomärkning; Meta Pseudo-märkning; Multi-View Faltningsnät; Formbeskrivningar; Multi-view representation; Djupinlärning;

    Abstract : The field of computer vision has long pursued the challenge of understanding the three-dimensional world. This endeavour is further fuelled by the increasing demand for technologies that rely on accurate perception of the 3D environment such as autonomous driving and augmented reality. READ MORE

  5. 4. Applicability of Detection Transformers in Resource-Constrained Environments : Investigating Detection Transformer Performance Under Computational Limitations and Scarcity of Annotated Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Altan Senel; [2023]
    Keywords : Deep Learning; Computer Vision; Self-supervised Learning; Object Detection; Scene Graph Generation;

    Abstract : Object detection is a fundamental task in computer vision, with significant applications in various domains. However, the reliance on large-scale annotated data and computational resource demands poses challenges in practical implementation. READ MORE

  6. 5. Semi-Supervised Head Detection for Low Resolution Images

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Annie Biby Rapheal; [2023]
    Keywords : Object detection; Semi Supervised Learning; Head detection; Objektdetektion; Semisupervised Learning; Huvuddetektion;

    Abstract : Object detection is a widely researched and applied field in computer vision. Deep learning models have successfully been used for object detection over the years. The performance of State of the art (SOTA) object detection deep learning models is dependent on the number of labeled images. READ MORE