Sökning: "fast gradient"

Visar resultat 1 - 5 av 55 uppsatser innehållade orden fast gradient.

1. 1. Multiple-Emitter Super-resolution Imaging using the Alternating Descent Conditional Gradient Method

   Kandidat-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation

   Författare :Dolev Illouz; [2023]
   Nyckelord :super-resolution; alternating descent conditional gradient method; ADCG; multiple-emitter localization; nanoscale imaging; single molecule tracking; Physics and Astronomy;

   Sammanfattning : This thesis examines the state-of-the-art 2D super-resolution technique alternating descent conditional gradient (ADCG) method's ability to accurately localize fluorophores in diffraction-limited single molecule images (SMI) and analyze the impact of pre-processing and post-processing modules on ADCG's fluorophore localization. A synthetic dataset obtained from the 2013 Grand Challenge localization microscopy and a temporally linked dataset obtained from an unpublished set of Optical DNA mapping experiments performed by Jonathan Jeffet at the NanoBioPhotonix Lab at Tel-Aviv University were initially segmented to extract their noise parameters. LÄS MER

3. 2. Robust Neural Receiver in Wireless Communication : Defense against Adversarial Attacks

   Master-uppsats, Linköpings universitet/Kommunikationssystem

   Författare :Alice Nicklasson Cedbro; [2023]
   Nyckelord :Wireless communication; Neural receiver; Robust neural receiver; Adversarial machine learning; Fast Gradient Sign Method; Adversarial training;

   Sammanfattning : In the field of wireless communication systems, the interest in machine learning has increased in recent years. Adversarial machine learning includes attack and defense methods on machine learning components. LÄS MER

4. 3. A Gradient Boosting Tree Approach for Behavioural Credit Scoring

   Master-uppsats, KTH/Matematisk statistik

   Författare :Axel Dernsjö; Ebba Blom; [2023]
   Nyckelord :Machine learning; Random forest; Uncertainty measure; Material development; Empirical Bayes; Maskininlärning; Random forest; Osäkerhetsmått; Materialutveckling; Empirical Bayes;

   Sammanfattning : This report evaluates the possibility of using sequential learning in a material development setting to help predict material properties and speed up the development of new materials. To do this a Random forest model was built incorporating carefully calibrated prediction uncertainty estimates. LÄS MER

5. 4. Are Distributed Representations in Neural Networks More Robust Against Malicious Fooling Attacks

   Magister-uppsats, Högskolan Dalarna/Institutionen för information och teknik

   Författare :Nida Sardar; Sundas Khan; [2023]
   Nyckelord :Adversarial attacks; Information Smearedness; Artificial Neural Networks; Information Relay; Dropout; Fast Gradient Sign Method;

   Sammanfattning : A plethora of data from sources like IoT, social websites, health, business, and many more have revolutionized the digital world in recent years. To make effective use of data for any sort of analysis, prediction, or automation of applications, the demand for machine learning and artificial intelligence has grown over time. LÄS MER

7. 5. Analysis of Flow Prolongation Using Graph Neural Network in FIFO Multiplexing System

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Weiran Wang; [2023]
   Nyckelord :Network Calculus; Flow Prolongation; Graph Neural Network; Fast Gradient Sign Method; Delay Bound; Nätverkskalkyl; Flödesförlängning; Graph Neural Network; Fast Gradient Sign Method; Fördröjningsgräns;

   Sammanfattning : Network Calculus views a network system as a queuing framework and provides a series of mathematical functions for finding an upper bound of an end-to-end delay. It is crucial for the design of networks and applications with a hard delay guarantee, such as the emerging Time Sensitive Network. LÄS MER