Results 281 to 290 of about 667,125 (317)

CuGaSe₂ photosensitive devices: a study of reliability and photoresponse with defects. [PDF]

RSC Adv
U KM, Aich S, Routray S.
europepmc   +1 more source

IllumiSIFT: A Cascade Framework for DoG Pyramid Learning in Darkness. [PDF]

Sensors (Basel)
Noor DF, Chowdhury MR, Sikder S.
europepmc   +1 more source

A Low-Parameter Adaptive Framework Based on Gaussian Mixture Modeling for Detecting Weak Astrocytic Calcium Signals in Two-Photon Imaging. [PDF]

Bioengineering (Basel)
Xu J, Wang H, Yang S, Liao X, Zhang K, Zhang G.   +5 more
europepmc   +1 more source

Beyond fluid overload: uncovering the hidden causes of dyspnea in hemodialysis patients. [PDF]

Front Med (Lausanne)
Buryskova Salajova K, Malik J, Strakova E, Hladinova Z, Hruskova Z, Zakiyanov O, Mirchi TP, Janakova S, Tesar V, Michalek P, Michalickova K, Valerianova A.   +11 more
europepmc   +1 more source

Nonlinear KCCA in fMRI activation analysis: Self-supervised optimization and robust back-reconstruction. [PDF]

Imaging Neurosci (Camb)
Han C, Yang Z, Zhuang X, Cordes D.
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The Newton-X platform for mixed quantum-classical dynamics.

Phys Chem Chem Phys
Barbatti M, Mattos RS, Demoulin B, de O Bispo M, Bondanza M, Brady M, Crespo-Otero R, de Miranda EGF, Dral PO, Granucci G, Hehn A, Hernández FJ, Iuzzolino G, Kar R, Kossoski F, Lischka H, Mennucci B, Mukherjee S, Mukhopadhyay A, Perrella F, Persico M, Pinheiro M, Pittner J, Plasser F, Rega N, Sangiogo-Gil E, Thorat T, Toldo JM, Tomaz AA, Varella MTDN, Vasquez L.   +30 more
europepmc   +1 more source

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Gaussian Optics and Gaussian Brackets*†

Journal of the Optical Society of America, 1943
Not ...
openaire   +2 more sources

Disentangling Gaussians

Communications of the ACM, 2012
A reference to the following related work was omitted: M. Belkin and K. Sinha, Polynomial Learning of Distribution Families, FOCS 2010.
Adam Tauman Kalai, Ankur Moitra, Gregory Valiant   +2 more
openaire   +1 more source

On the Gaussian sum of Gaussian variates, the non-Gaussian sum of Gaussian variates, and the Gaussian sum of non-Gaussian variates

Proceedings of the IEEE, 1967
The random variable generated by adding two Gaussian variables may or may not have a Gaussian distribution. Also, the random variable generated by adding two non-Gaussian variables may or may not have a non-Gaussian distribution. Of several examples given, one illustrates how the sum may be Gaussian while the individual variables are not.
openaire   +1 more source