[HTML][HTML] Deep learning in food category recognition
Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …
research for the past few decades. It is potentially one of the next steps in revolutionizing …
Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise
We investigate both the theoretical and algorithmic aspects of likelihood-based methods for
recovering a complex-valued signal from multiple sets of measurements, referred to as …
recovering a complex-valued signal from multiple sets of measurements, referred to as …
Multilook compressive sensing in the presence of speckle noise
Multiplicative speckle noise is an inherent part of coherent imaging systems, such as
synthetic aperture radar and digital holography. Speckle noise is mitigated by obtaining …
synthetic aperture radar and digital holography. Speckle noise is mitigated by obtaining …
Correction to” Compressed sensing in the presence of speckle noise”
This paper presents a correction to Theorem 2 in [1] which follows from fixing an error in
Lemma 5 and a minor correction in the constant of Lemma 3. Despite modifications to upper …
Lemma 5 and a minor correction in the constant of Lemma 3. Despite modifications to upper …
Performance bounds for LASSO under multiplicative LogNormal noise: Applications to pooled RT-PCR testing
Group/Pooled testing is a technique which involves testing n samples for a rare disease in
an indirect manner: instead of individually testing each of the p samples, it involves creating …
an indirect manner: instead of individually testing each of the p samples, it involves creating …
Novel approach to coherent imaging in the presence of speckle noise
In coherent imaging systems like SAR and digital holography, speckle noise is effectively
mitigated using the multilook or multishot approach. Utilizing maximum likelihood estimation …
mitigated using the multilook or multishot approach. Utilizing maximum likelihood estimation …