5 papers
Quadruplet Selection Methods for Deep Embedding Learning
Kaan Karaman, Erhan Gundogdu, Aykut Koc +1
Recognition of objects with subtle differences has been used in many practical applications, such as car model recognition and maritime vessel identification. For discrimination of…
Deep Iterative Reconstruction for Phase Retrieval
Çağatay Işıl, Figen S. Oktem, Aykut Koç
Classical phase retrieval problem is the recovery of a constrained image from the magnitude of its Fourier transform. Although there are several well-known phase retrieval algorith…
Discrete Scaling Based on Operator Theory
Aykut Koç, Burak Bartan, Haldun M. Ozaktas
Signal scaling is a fundamental operation of practical importance in which a signal is enlarged or shrunk in the coordinate direction(s). Scaling or magnification is not trivial fo…
Discrete Linear Canonical Transform Based on Hyperdifferential Operators
Aykut Koç, Burak Bartan, Haldun M. Ozaktas
Linear canonical transforms (LCTs) are of importance in many areas of science and engineering with many applications. Therefore a satisfactory discrete implementation is of conside…
Statistically Segregated k-Space Sampling for Accelerating Multiple-Acquisition MRI
L Kerem Senel, Toygan Kilic, Alper Gungor +5
A central limitation of multiple-acquisition magnetic resonance imaging (MRI) is the degradation in scan efficiency as the number of distinct datasets grows. Sparse recovery techni…