Sökning: "deep models"
Visar resultat 6 - 10 av 393 avhandlingar innehållade orden deep models.
6. Geometric Supervision and Deep Structured Models for Image Segmentation
Sammanfattning : The task of semantic segmentation aims at understanding an image at a pixel level. Due to its applicability in many areas, such as autonomous vehicles, robotics and medical surgery assistance, semantic segmentation has become an essential task in image analysis. LÄS MER
7. Deep probabilistic models for sequential and hierarchical data
Sammanfattning : Consider the problem where we want a computer program capable of recognizing a pedestrian on the road. This could be employed in a car to automatically apply the brakes to avoid an accident. LÄS MER
8. Deep learning for news topic identification in limited supervision and unsupervised settings
Sammanfattning : In today's world, following news is crucial for decision-making and staying informed. With the growing volume of daily news, automated processing is essential for timely insights and in aiding individuals and corporations in navigating the complexities of the information society. LÄS MER
9. Deep Evidential Doctor
Sammanfattning : Recent years have witnessed an unparalleled surge in deep neural networks (DNNs) research, surpassing traditional machine learning (ML) and statistical methods on benchmark datasets in computer vision, audio processing and natural language processing (NLP). Much of this success can be attributed to the availability of numerous open-source datasets, advanced computational resources and algorithms. LÄS MER
10. Sampling from molecular unnormalized distributions with Deep Generative Models
Sammanfattning : This thesis investigates how Deep Generative Models (DGMs) can address important drug discovery problems involving sampling from unnormalized distributions. It consists of two papers focusing on this challenge’s aspects: molecular design and conformational sampling. LÄS MER