A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Two photon amplitude of partially coherent partially entangled electromagnetic fields
[article]
2015
arXiv
pre-print
Preserved Fulltext
By using the generalised Siegert relations and the coherent mode representation of the cross spectral density matrix the two photon amplitude is fully characterised for partially coherent beams. ...
Upper bounds for this measure are found in terms of the golden ratio for maximally entangled states. ...
This property and the modal decomposition account for a complete characterization of the TPA in terms of coherent modes. ...
arXiv:1507.08623v1
fatcat:kwyy3haij5d2vgqgfw5ibwspgi
Target Detection With Semisupervised Kernel Orthogonal Subspace Projection
2009
IEEE Transactions on Geoscience and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
The Orthogonal Subspace Projection (OSP) algorithm is substantially a kind of matched filter that requires the evaluation of a prototype for each class to be detected. ...
The good performance of the proposed method is illustrated in a toy dataset, and two relevant hyperspectral image target detection applications: crop identification and thermal hot spot detection. ...
For the Nyström method, two free parameters need to be tuned; m is the number of samples used to compute the approximate decomposition of the kernel matrix, and p is the number of demanded largest eigenvalues ...
doi:10.1109/tgrs.2009.2020910
fatcat:sb4bahh7rvh3ra6ve2cfu47cni
Using Kernel Methods in a Learning Machine Approach for Multispectral Data Classification. An Application in Agriculture
[chapter]
2009
Geoscience and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In particular, we focus on the practical applicability of learning machine methods to the task of inducting a relationship between the spectral response of farms land cover to their informational typology ...
Generally, the complexity of this problem is related to the incorporation of spatial characteristics that are complementary to the nonlinearities of land surface heterogeneity, remote sensing effects and ...
The advantages of MODIS are not restricted to its spatial resolution; its spectral resolution, 36 channels covering from visible to thermal infrared spectral regions, also presents some benefit compared ...
doi:10.5772/8307
fatcat:l3pb5jb4y5fsznupiealzwa72a
The Structure of Partially Coherent Fields
[chapter]
2010
Progress in optics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
"pseudo-modal" decomposition of the cross-spectral density. ...
Such spectral changes were analyzed in James and Wolf (1991a,b) for both filtered and broadband thermal light. In the latter case, significant spectral changes may occur. ...
doi:10.1016/b978-0-444-53705-8.00005-9
fatcat:fnpduswwyvg6nhiveop4j2sblu
Support vector machines in remote sensing: A review
2011
ISPRS journal of photogrammetry and remote sensing (Print)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
This review is timely due to the exponentially increasing number of works published in recent years. ...
A wide range of methods for analysis of airborne-and satellite-derived imagery continues to be proposed and assessed. ...
of Excellence CARTI Program. ...
doi:10.1016/j.isprsjprs.2010.11.001
fatcat:6hx57jxaxvfxvjoqqmhk5puhty
Stochastic finite elements of discretely parameterized random systems on domains with boundary uncertainty
2014
International Journal for Numerical Methods in Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Following this, Section 7 demonstrates the proposed techniques for the spectral decomposition of the random field with numerical examples and error analysis. ...
Section 3 presents the discussion on the discrete spectral decomposition of the covariance function. ...
The results for the discrete spectral decomposition of the covariance kernel is presented in Section 7.1. ...
doi:10.1002/nme.4733
fatcat:qqjhuqyz4fepzk2y7jabasnhfi
Variational Inference at Glacier Scale
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
We characterize the complete joint posterior distribution over spatially-varying basal traction and and ice softness parameters of an ice sheet model from observations of surface speed by using stochastic ...
By placing a Gaussian process prior over the parameters and casting the problem in terms of eigenfunctions of a kernel, we gain substantial control over prior assumptions on parameter smoothness and length ...
A Jupyter notebook that performs the ISMIP-HOM experiments and a series of scripts for reproducing the Helheim Glacier results are available at github.com/douglas-brinkerhoff/vi_at_glacier_scale. ...
arXiv:2108.07263v1
fatcat:7xr2h6olxbbjfoerkoyf4yzg4y
Robust multiple estimator systems for the analysis of biophysical parameters from remotely sensed data
2005
IEEE Transactions on Geoscience and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
In this paper, an approach based on multiple estimator systems (MESs) for the estimation of biophysical parameters from remotely sensed data is proposed. ...
In particular, a detailed experimental analysis on the effectiveness of SVMs for solving the considered estimation problem is presented. ...
ACKNOWLEDGMENT The authors wish to thank Prof. G. Corsini (University of Pisa, Italy) for providing the simulated data of the MERIS sensor and Prof. S. ...
doi:10.1109/tgrs.2004.839818
fatcat:dusfhyhwmzb6ffpw7isdq27bqm
Hierarchical Bayesian models for inverse problems in heat conduction
2004
Inverse Problems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2004; you can also visit the original URL.
The file type is application/pdf.
The stabilization parameters are shown to be functions of the time-step size. Provision is made for explicit tracking of the subgrid-scale solution through time. ...
A stabilized stochastic finite element implementation for the natural convection system of equations under Boussinesq assumptions with uncertainty in inputs is considered. ...
By definition, R hh (y 1 , y 2 ) is continuous, positive semi-definite and hence has a spectral decomposition according to Mercer's theorem [27] as follows: R hh (y 1 , y 2 ) = ∞ n=1 λ n f n (y 1 )f ...
doi:10.1088/0266-5611/21/1/012
fatcat:7vosaouccfgkzdkgpxbhxbasi4
Spectral Bias and Task-Model Alignment Explain Generalization in Kernel Regression and Infinitely Wide Neural Networks
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
This notion of simplicity allows us to characterize whether a kernel is compatible with a learning task, facilitating good generalization performance from a small number of training examples. ...
We present applications of our theory to real and synthetic datasets, and for many kernels including those that arise from training deep neural networks in the infinite-width limit. ...
We also thank the reviewers for their detailed and constructive feedback, and Jan Drugowitsch and Guillermo Valle-Perez for comments on the manuscript. ...
arXiv:2006.13198v5
fatcat:xawvdj3sf5eofk6uws4o72wzbq
A Hilbert-space formulation of and variational principle for spontaneous wiggler radiation
[article]
2005
arXiv
pre-print
Preserved Fulltext
The Internet Archive has a preservation copy of this work in our general collections.
The file type is application/pdf.
The techniques were developed within the context of undulator radiation from relativistic electron beams, but are more broadly applicable. ...
Within the framework of Hilbert space theory, we derive a maximum-power variational principle applicable to classical spontaneous radiation from prescribed harmonic current sources. ...
This research was supported by the Division of High Energy Physics, U.S. Department of Energy, and by DARPA, U.S. Department of Defense. ...
arXiv:physics/0501018v1
fatcat:e7fjgx5pm5g3zhnvlr5enxlfkm
Modern Applied Science, Vol. 3, No. 12, December, 2009
2009
Modern Applied Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Acknowledgements Thanks are due to the Ministry of Higher Education of Malaysia for grants (UKM-GUP-NBT-08-27-112, UKM-ST-01-FRGS0022-2006) and members of staff of faculty of science and Technology and ...
This paper has provided evidence for the impact of remote biomass burning and forest fire on Carbon Dioxide pollution levels above study area and enhanced our knowledge on AIRS detection of CO 2 emission ...
The AIRS instrument, includes 2378 infrared spectral channels provides spectral coverage in the 3.74-4.61 m, 6.20-8.22 m, and 8.8-15.4 m infrared wavebands at a nominal spectral resolution of ⁄ =1200. ...
doi:10.5539/mas.v3n12p0
fatcat:7mgcusxchjh3rlfwhv6xex6zqe
Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
For all cases we expressed the derivative of the learned function as a linear combination of the kernel function derivative. ...
for density estimation, and the Hilbert-Schmidt Independence Criterion for estimating the dependency between random variables. ...
The f 2 H has a straight line because the 'optimal' parameter for using the norm of the weights for regularization has already been chosen. ...
arXiv:2007.14706v2
fatcat:h4mcvkyrd5derm4kfnlloaziky
Provably efficient machine learning for quantum many-body problems
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2021 pre-print arXiv:2106.12627v2 fatcat:atwnalebafctbc7perghtxbzkeOther Versions
many properties of the state. ...
Hamiltonians in the same quantum phase of matter. ...
Department of Energy Office of Science, Office of Advanced Scientific Computing Research, (DE-NA0003525, DE-SC0020290), and the National Science Foundation (PHY-1733907). ...
arXiv:2106.12627v3
fatcat:k476uj2s7jaa7f3hc4n2j64pgm
Kernel methods and their derivatives: Concept and perspectives for the earth system sciences
2020
PLoS ONE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
For all cases we expressed the derivative of the learned function as a linear combination of the kernel function derivative. ...
for density estimation, and the Hilbert-Schmidt Independence Criterion for estimating the dependency between random variables. ...
The k f k 2 H has a straight line because the 'optimal' parameter for using the norm of the weights for regularization has already been chosen. ...
doi:10.1371/journal.pone.0235885
pmid:33119617
fatcat:kaucu2zmcvclblxixmdesghwja
« Previous
Showing results 1 — 15 out of 35 results