Sökning: "end-to-end learning"
Visar resultat 11 - 15 av 34 avhandlingar innehållade orden end-to-end learning.
11. Learning Representations for Segmentation and Registration
Sammanfattning : In computer vision, the aim is to model and extract high-level information from visual sensor measurements such as images, videos and 3D points. Since visual data is often high-dimensional, noisy and irregular, achieving robust data modeling is challenging. LÄS MER
12. Contributions to Semantic Dependency Parsing : Search, Learning, and Application
Sammanfattning : Semantic dependency parsing is the task of mapping natural language sentences into representations of their meaning in the form of directed graphs on words. These bilexical graphs are designed to capture the sentence-internal predicate-argument relationships – they tell us “who did what to whom” in the given sentence. LÄS MER
13. 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
14. Design Methods and Processes for ML/DL models
Sammanfattning : Context: With the advent of Machine Learning (ML) and especially Deep Learning (DL) technology, companies are increasingly using Artificial Intelligence (AI) in systems, along with electronics and software. Nevertheless, the end-to-end process of developing, deploying and evolving ML and DL models in companies brings some challenges related to the design and scaling of these models. LÄS MER
15. Data Driven AI Assisted Green Network Design and Management
Sammanfattning : The energy consumption of mobile networks is increasing due to an increase in traffic demands and the number of connected users to the network. To assure the sustainability of mobile networks, energy efficiency must be a key design pillar of the next generations of mobile networks. LÄS MER