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Showing result 1 - 5 of 91 essays matching the above criteria.

1. 1. Distance Consistent Labellings and the Local List Number

   University essay from Linköpings universitet/Algebra, geometri och diskret matematik; Linköpings universitet/Tekniska fakulteten

   Author : Anders Henricsson; [2023]
   Keywords : distance-consistence; graph labelling; graph distance; avstånds-konsistens; grafmärkning; grafavstånd;

   Abstract : We study the local list number of graphs introduced by Lennerstad and Eriksson. A labelling of a graph on n vertices is a bijection from vertex set to the set {1,…, n}. Given such a labelling c a vertex u is distance consistent if for all vertices v and w |c(u)-c(v)|=|c(u)-c(w)|+1 implies d(u,w)≤ d(u,v). READ MORE

3. 2. Optic nerve sheath diameter semantic segmentation and feature extraction

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

   Author : Simone Bonato; [2023]
   Keywords : Machine Learning; Computer Vision; Image Segmentation; Medical Imaging; Optic Nerve Sheath Diameter; nnU-Net; Maskininlärning; datorseende; bildsegmentering; medicinsk bildbehandling; optisk nervslidsdiameter; nnU-Net;

   Abstract : Traumatic brain injury (TBI) affects millions of people worldwide, leading to significant mortality and disability rates. Elevated intracranial pressure (ICP) resulting from TBI can cause severe complications and requires early detection to improve patient outcomes. 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. 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

6. 5. Self-Supervised Fine-Tuning of sentence embedding models using a Smooth Inverse Frequency model : Automatic creation of labels with Smooth Inverse Frequency model

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

   Author : Vittorio Pellegrini; [2023]
   Keywords : Natural Language Processing; sentence embeddings; Transformer-based architectures; sentence paraphrasing; sentence similarity; sentence clustering; Naturlig språkbehandling; inbäddning av meningar; transformatorbaserade arkitekturer; parafrasering av meningar; meningslikhet; klustring av meningar Canvas Lärplattform; Dockerbehållare; Prestandajustering;

   Abstract : Sentence embedding models play a key role in the field of Natural Language Processing. They can be exploited for the resolution of several tasks like sentence paraphrasing, sentence similarity, and sentence clustering. READ MORE