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Three-factor model in deep neural networks
(2021)
Diplomityö
Diplomityö
Empirical asset pricing literature has widely recognised different factors and they are a well researched topic. The main approach in past research regarding factors in empirical asset pricing has been based on linear ...
Estimating the performance of a multiradar tracker using machine learning
(2021)
Diplomityö
Diplomityö
Multiradar tracking of aircraft is a sensor fusion problem including complicated measurement and object motion models. The accuracy of radar measurements differs significantly between bearing and range. The transformation ...
Image coding for machines : Deep learning based post-processing filters
(2021)
Diplomityö
Diplomityö
Machine vision tasks such as object detection and instance segmentation are becoming more and more popular these days due to the quickly increasing performance of deep neural networks. Consequently, more and more multimedia ...
Custom Object Detection with Deep Learning and Synthetic Datasets
(2021)
Diplomityö
Diplomityö
Detecting and localizing tree trunks is a necessary component for automatic harvesting machines. This task can be split into two sub-tasks: object detection and depth estimation. Object detection is a crucial problem that ...
Continual Learning In Automated Audio Captioning
(2021)
Pro gradu -tutkielma
Pro gradu -tutkielma
Teaching neural network models to classify new tasks and old tasks on new domains is a process, where a common problem is the forgetting of previous tasks and/or domains. This problem is referred to as catastrophic forgetting. ...
Fast Convolutional Neural Networks for Real-Time Path Tracing Denoising
(2021)
Diplomityö
Diplomityö
Path tracing is a method to generate photorealistic images with physically based effects such as reflections, shadows, refractions and global illumination. Path tracing in real-time requires large amount of computational ...
Color Constancy with Small Dataset via Pruning of CNN Filters
(2021)
Diplomityö
Diplomityö
Color constancy is an essential part of the Image Signal Processor (ISP) pipeline, which removes the color bias of the captured image generated by scene illumination. Recently, several supervised algorithms, including ...
Mobile Phone Speaker Audio Quality Classification with Convolutional Neural Networks
(2021)
Diplomityö
Diplomityö
There are many processes that have been automated which previously would have been done by a human. The process of quality evaluation is one of those processes. Machine learning is one of the most trending techniques of ...