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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1968 2
1975 1
1976 3
1977 1
1978 2
1979 1
1980 2
1981 3
1982 3
1983 1
1984 2
1985 3
1986 2
1987 1
1988 2
1989 3
1990 1
1991 3
1992 5
1993 6
1994 5
1995 7
1996 4
1997 8
1998 11
1999 6
2000 9
2001 4
2002 14
2003 22
2004 17
2005 26
2006 24
2007 22
2008 21
2009 29
2010 28
2011 25
2012 27
2013 29
2014 27
2015 32
2016 38
2017 34
2018 32
2019 44
2020 34
2021 31
2022 36
2023 39
2024 9

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688 results

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Page 1
Local-Aggregation Graph Networks.
Chang J, Wang L, Meng G, Zhang Q, Xiang S, Pan C. Chang J, et al. IEEE Trans Pattern Anal Mach Intell. 2020 Nov;42(11):2874-2886. doi: 10.1109/TPAMI.2019.2915591. Epub 2019 May 8. IEEE Trans Pattern Anal Mach Intell. 2020. PMID: 31071020
In the context of the function approximation theory, the local-aggregation function is parameterized with a group of orthonormal polynomials in an effective and efficient manner. By replacing the traditional convolution in CNNs with the parameterized local-aggregation func …
In the context of the function approximation theory, the local-aggregation function is parameterized with a group of orthonormal poly …
Hermite-Gaussian mode sorter.
Zhou Y, Zhao J, Shi Z, Hashemi Rafsanjani SM, Mirhosseini M, Zhu Z, Willner AE, Boyd RW. Zhou Y, et al. Opt Lett. 2018 Nov 1;43(21):5263-5266. doi: 10.1364/OL.43.005263. Opt Lett. 2018. PMID: 30382983 Free article.
The Hermite-Gaussian (HG) modes, sometimes referred to as transverse electromagnetic modes in free space, form a complete and orthonormal basis that have been extensively used to describe optical fields. ...
The Hermite-Gaussian (HG) modes, sometimes referred to as transverse electromagnetic modes in free space, form a complete and orthonormal …
Bayesian constraint relaxation.
Duan LL, Young AL, Nishimura A, Dunson DB. Duan LL, et al. Biometrika. 2020 Mar;107(1):191-204. doi: 10.1093/biomet/asz069. Epub 2019 Dec 24. Biometrika. 2020. PMID: 32089562 Free PMC article.
Hybrid gausslet/Gaussian basis sets.
Qiu Y, White SR. Qiu Y, et al. J Chem Phys. 2021 Nov 14;155(18):184107. doi: 10.1063/5.0068887. J Chem Phys. 2021. PMID: 34773955
The Gaussians are orthogonalized to the gausslets, which are already orthonormal, and approximations are introduced to maintain the diagonal property of the two electron part of the Hamiltonian so that it continues to scale as the second power of the number of basis functi …
The Gaussians are orthogonalized to the gausslets, which are already orthonormal, and approximations are introduced to maintain the d …
Metric-Driven 3D Frame Field Generation.
Fang X, Huang J, Tong Y, Bao H. Fang X, et al. IEEE Trans Vis Comput Graph. 2023 Apr;29(4):1964-1976. doi: 10.1109/TVCG.2021.3136199. Epub 2023 Feb 28. IEEE Trans Vis Comput Graph. 2023. PMID: 34919519
Controlling the size and shear of elements is crucial in pure hex or hex-dominant meshing. To this end, non-orthonormal frame fields that are almost everywhere integrable (except for the singularities) can play a key role. ...
Controlling the size and shear of elements is crucial in pure hex or hex-dominant meshing. To this end, non-orthonormal frame fields …
Orthogonal Inductive Matrix Completion.
Ledent A, Alves R, Kloft M. Ledent A, et al. IEEE Trans Neural Netw Learn Syst. 2023 May;34(5):2259-2270. doi: 10.1109/TNNLS.2021.3106155. Epub 2023 May 2. IEEE Trans Neural Netw Learn Syst. 2023. PMID: 34473630
We propose orthogonal inductive matrix completion (OMIC), an interpretable approach to matrix completion based on a sum of multiple orthonormal side information terms, together with nuclear-norm regularization. ...
We propose orthogonal inductive matrix completion (OMIC), an interpretable approach to matrix completion based on a sum of multiple ortho …
Wigner numbers.
Allen WD. Allen WD. J Chem Phys. 2019 Dec 28;151(24):244122. doi: 10.1063/1.5135721. J Chem Phys. 2019. PMID: 31893864
In the midst of the W(m,n) (J) proofs, a class of previously unknown combinatorial summation identities is also found from Wigner number orthonormalization conditions....
In the midst of the W(m,n) (J) proofs, a class of previously unknown combinatorial summation identities is also found from Wigner number …
Nonlocal image editing.
Talebi H, Milanfar P. Talebi H, et al. IEEE Trans Image Process. 2014 Oct;23(10):4460-73. doi: 10.1109/TIP.2014.2348870. Epub 2014 Aug 18. IEEE Trans Image Process. 2014. PMID: 25148666
This filter is computed by approximating the leading eigenvectors of the filter. These orthonormal eigenfunctions are highly expressive of the coarse and fine details in the underlying image, where each eigenvector can be interpreted as one scale of a data-dependent multis …
This filter is computed by approximating the leading eigenvectors of the filter. These orthonormal eigenfunctions are highly expressi …
Selectivity, hyperselectivity, and the tuning of V1 neurons.
Vilankar KP, Field DJ. Vilankar KP, et al. J Vis. 2017 Aug 1;17(9):9. doi: 10.1167/17.9.9. J Vis. 2017. PMID: 28813565 Free article. Review.
If a neuron is linear, then this stimulus can be determined by measuring the response to an orthonormal basis set (the receptive field). The second type of selectivity we call hyperselectivity; it is either implicitly or explicitly a component of several models including s …
If a neuron is linear, then this stimulus can be determined by measuring the response to an orthonormal basis set (the receptive fiel …
Feature-recognizing MRI.
Cao Y, Levin DN. Cao Y, et al. Magn Reson Med. 1993 Sep;30(3):305-17. doi: 10.1002/mrm.1910300306. Magn Reson Med. 1993. PMID: 8412601
We describe a new theory of MR imaging that utilizes prior information in the form of a set of "training" images thought to be similar to the "unknown" objects to be scanned. First, the training images are processed to find an orthonormal series representation of these ima …
We describe a new theory of MR imaging that utilizes prior information in the form of a set of "training" images thought to be similar to th …
688 results