Sökning: "Siamese Neural Network"
Visar resultat 1 - 5 av 18 uppsatser innehållade orden Siamese Neural Network.
1. Deep neural networks for food waste analysis and classification : Subtraction-based methods for the case of data scarcity
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och systemSammanfattning : Machine learning generally requires large amounts of data, however data is often limited. On the whole the amount of data needed grows with the complexity of the problem to be solved. Utilising transfer learning, data augmentation and problem reduction, acceptable performance can be achieved with limited data for a multitude of tasks. LÄS MER
2. Duplicate detection of multimodal and domain-specific trouble reports when having few samples : An evaluation of models using natural language processing, machine learning, and Siamese networks pre-trained on automatically labeled data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Trouble and bug reports are essential in software maintenance and for identifying faults—a challenging and time-consuming task. In cases when the fault and reports are similar or identical to previous and already resolved ones, the effort can be reduced significantly making the prospect of automatically detecting duplicates very compelling. LÄS MER
3. VTG-Fusion : A GAN-ViT-Based Infrared and Visible ImageFusion Method
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Infrared and visible image fusion targets generating one image with texture details from visible images and highlighted objects from the infrared images. It has been widely used in object recognition and object detection. LÄS MER
4. Defect classification in LPBF images using semi-supervised learning
Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013); Karlstads universitet/Avdelningen för datavetenskapSammanfattning : Laser powder bed fusion is an additive manufacturing technique that is capable of building metallic parts by spreading many layers of metal powder over a build surface and using a laser to melt specific sections of the surface. The part is built by melting consecutive layers on top of each other until the design is completed. LÄS MER
5. Voice Feature Extraction Using Siamese Neural Networks for Detecting Impersonators
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Voice impersonation is a technique that has often been used by criminals whose goal is to avoid being identified while committing a crime. There are, however, other interesting cases where the police confronts a suspect with an incriminating recording, and the suspect would deny being the true speaker in that recording, and claim that it belonged to an expert impersonator. LÄS MER