Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Ruud J. G. van Sloun"'
Autor:
Nabeel Durrani, Damjan Vukovic, Jeroen van der Burgt, Maria Antico, Ruud J. G. van Sloun, David Canty, Marian Steffens, Andrew Wang, Alistair Royse, Colin Royse, Kavi Haji, Jason Dowling, Girija Chetty, Davide Fontanarosa
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract Our automated deep learning-based approach identifies consolidation/collapse in LUS images to aid in the identification of late stages of COVID-19 induced pneumonia, where consolidation/collapse is one of the possible associated pathologies.
Externí odkaz:
https://doaj.org/article/932b4ff27af04130a796d669bfe71aa2
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2):9729603, 1353-1371. IEEE Computer Society
The Gumbel-max trick is a method to draw a sample from a categorical distribution, given by its unnormalized (log-)probabilities. Over the past years, the machine learning community has proposed several extensions of this trick to facilitate, e.g., d
Autor:
Lizeth Gonzalez-Carabarin, Iris A. M. Huijben, Bastian Veeling, Alexandre Schmid, Ruud J. G. van Sloun
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-12
Unstructured neural network pruning algorithms have achieved impressive compression rates. However, the resulting - typically irregular - sparse matrices hamper efficient hardware implementations, leading to additional memory usage and complex contro
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Autor:
Itay Buchnik, Damiano Steger, Guy Revach, Ruud J. G. van Sloun, Tirza Routtenberg, Nir Shlezinger
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Autor:
Xinyi Wei, Hans van Gorp, Lizeth Gonzalez-Carabarin, Daniel Freedman, Yonina C. Eldar, Ruud J. G. van Sloun
Publikováno v:
IEEE Transactions on Signal Processing, 70, 2962-2971. Institute of Electrical and Electronics Engineers
Many application domains, spanning from computational photography to medical imaging, require recovery of high-fidelity images from noisy, incomplete or partial/compressed measurements. State-of-the-art methods for solving these inverse problems comb
Autor:
Iris A M Huijben, Lieke W A Hermans, Alessandro C Rossi, Sebastiaan Overeem, Merel M van Gilst, Ruud J G van Sloun
Publikováno v:
Physiological Measurement, 44(1):015002. Institute of Physics
Objective. The recently-introduced hypnodensity graph provides a probability distribution over sleep stages per data window (i.e. an epoch). This work explored whether this representation reveals continuities that can only be attributed to intra- and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38bda3cd462991f09c7f9a4617bf7edf
https://research.tue.nl/nl/publications/6ca389f3-ab28-418a-ab50-051348282c5e
https://research.tue.nl/nl/publications/6ca389f3-ab28-418a-ab50-051348282c5e
Publikováno v:
Pure TUe
arXiv, 2022:2201.12634. Cornell University Library
arXiv, 2022:2201.12634. Cornell University Library
Analog-to-digital converters (ADCs) allow physical signals to be processed using digital hardware. Their conversion consists of two stages: Sampling, which maps a continuous-time signal into discrete-time, and quantization, i.e., representing the con