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pro vyhledávání: '"Weller, Daniel S."'
Cell imaging and analysis are fundamental to biomedical research because cells are the basic functional units of life. Among different cell-related analysis, cell counting and detection are widely used. In this paper, we focus on one common step of l
Externí odkaz:
http://arxiv.org/abs/1904.08864
Autor:
Ly, Tiffany T., Batabyal, Tamal, Thompson, Jeremy, Harris, Tajie, Weller, Daniel S., Acton, Scott T.
Automatic 3D reconstruction of glia morphology is a powerful tool necessary for investigating the role of microglia in neurological disorders in the central nervous system. Current glia skeleton reconstruction techniques fail to capture an accurate t
Externí odkaz:
http://arxiv.org/abs/1903.12210
Transform-domain least mean squares (LMS) adaptive filters encompass the class of algorithms where the input data are subjected to a data-independent unitary transform followed by a power normalization stage as preprocessing steps. Because convention
Externí odkaz:
http://arxiv.org/abs/1812.04570
Autor:
Liang, Haoyi, Weller, Daniel S.
Image quality assessment (IQA) is traditionally classified into full-reference (FR) IQA and no-reference (NR) IQA according to whether the original image is required. Although NR-IQA is widely used in practical applications, room for improvement stil
Externí odkaz:
http://arxiv.org/abs/1601.04619
Autor:
Weller, Daniel S., Pnueli, Ayelet, Divon, Gilad, Radzyner, Ori, Eldar, Yonina C., Fessler, Jeffrey A.
We propose a general framework for reconstructing transform-sparse images from undersampled (squared)-magnitude data corrupted with outliers. This framework is implemented using a multi-layered approach, combining multiple initializations (to address
Externí odkaz:
http://arxiv.org/abs/1411.2183
Publikováno v:
In Signal Processing April 2019 157:170-179
Publikováno v:
In Magnetic Resonance Imaging January 2019 55:36-45
Autor:
Weller, Daniel S., Goyal, Vivek K
Publikováno v:
IEEE Trans. on Signal Processing, vol. 59, no. 2, pp. 587-597, February 2011
This paper examines the problem of estimating the parameters of a bandlimited signal from samples corrupted by random jitter (timing noise) and additive iid Gaussian noise, where the signal lies in the span of a finite basis. For the presented classi
Externí odkaz:
http://arxiv.org/abs/1007.5034
Autor:
Weller, Daniel S., Goyal, Vivek K
Publikováno v:
IEEE Trans. on Signal Processing, vol. 59, no. 5, pp. 2112-2123, May 2011
Minimum mean squared error (MMSE) estimators of signals from samples corrupted by jitter (timing noise) and additive noise are nonlinear, even when the signal prior and additive noise have normal distributions. This paper develops a stochastic algori
Externí odkaz:
http://arxiv.org/abs/1007.5098
Autor:
Weller, Daniel S., Goyal, Vivek K
This paper describes several new algorithms for estimating the parameters of a periodic bandlimited signal from samples corrupted by jitter (timing noise) and additive noise. Both classical (non-random) and Bayesian formulations are considered: an Ex
Externí odkaz:
http://arxiv.org/abs/0809.4244