Results 231 to 240 of about 17,625 (278)

Spatiotemporal Maps for Dynamic MRI Reconstruction. [PDF]

IEEE Trans Comput Imaging
Lobos RA, Wang X, Fung RTL, He Y, Frey D, Gupta D, Liu Z, Fessler JA, Noll DC.   +8 more
europepmc   +1 more source

Enhanced confocal microscopy with physics-guided autoencoders via synthetic noise modeling. [PDF]

Sci Rep
Ahmad Z, Shabeer J, Hidayat A, Saleem U, Qadeer T, Sami A, Khalidi ZE, Mehmood S, Pokharel S, Rana OA, Aydogan B, Muhammad W.   +11 more
europepmc   +1 more source

Comment on: CATALYZE: a deep learning approach for cataract assessment and grading on SS-OCT images. [PDF]

J Cataract Refract Surg
Ni J.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

When Randomness Helps in Undersampling

SIAM Review, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Roel Snieder, Michael B. Wakin
openaire   +1 more source

EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification

Applied Soft Computing Journal, 2021
© 2020 Learning from imbalanced datasets is highly demanded in real-world applications and a challenge for standard classifiers that tend to be biased towards the classes with the majority of the examples.
Hoang Lam Le, Dario Landa-Silva, Mikel Galar   +2 more
exaly   +3 more sources

An Undersampling Digital Microphone

2007 IEEE International Symposium on Circuits and Systems (ISCAS), 2007
As negative feedback in control systems is often not applicable and/or produces undesirable effects, this paper presents the analysis and simulation of a digital microphone using a sigma delta A/D converter comprising of a voltage controlled oscillator (VCO) and sampling D-FF to digitize data.
Sven Soell, Bernd Porr
openaire   +1 more source

Regularization for Undersampled Ptychography

OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), 2021
Ptychography becomes increasingly ill-posed when the overlap between neighboring scan points is reduced, inhibiting the object reconstruction. Here, we discuss and show reconstructions with low-overlap ratios by regularizing with priors such as Total- Variation and Structure-Tensor-Prior.
Prasan Shedligeri, Florian Schiffers, Semih Barutcu, Pablo Ruiz, Aggelos K. Katsaggelos, Oliver Cossairt   +5 more
openaire   +1 more source

Unaliasing of undersampled spectra

2016 5th Mediterranean Conference on Embedded Computing (MECO), 2016
One of parts of digital signal processing is processing with undersampling. In this case, the sampling frequency is lower, than it is required by the sampling theorem. At undersampling, the spectrum of signals is distorted by an aliasing. Various ways of correction of the arising distortions are known. These ways are known under the name the unaliasing.
Vladislav A. Lesnikov, Tatiana V. Naumovich, Alexander V. Chastikov, Denis Garsh   +3 more
openaire   +1 more source

Incremental Hashing with Undersampling

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2019
Most of current hashing methods are proposed based on the assumption that the database is stationary. However, this assumption is not always true as the data environment is sometimes non-stationary. When new images being added to the database, data distributions of existing classes may change and new classes may also appear which result in concept ...
Xiaoxia Jiang, Wing W. Y. Ng, Xing Tian, Sam Kwong, Hui Wang 0001   +4 more
openaire   +1 more source

Detecting undersampling in surface reconstruction

Proceedings of the seventeenth annual symposium on Computational geometry, 2001
Current surface reconstruction algorithms perform satisfactorily on we ll-sampled, smooth surfaces without boundaries. However, these algorithms face difficulty with undersampling. Cases of undersampling are prevalent in real data since often they sample a part of the boundary of an object, or are derived from a surface with high curvature or ...
Tamal K. Dey, Joachim Giesen
openaire   +2 more sources