Multivariate optical computing, also known as molecular factor computing, is an approach to the development of compressed sensing spectroscopic instruments...

A multivariate optical element (MOE), is the key part of a multivariate optical computer; an alternative to conventional spectrometry for the chemical...

division algorithm Multivariate optical computing Multivariate analysis Multivariate random variable Multivariate regression Multivariate statistics Univariate...

absorption of gamma rays. See also Mössbauer effect. Multivariate optical computing is an all optical compressed sensing technique, generally used in harsh...

prototype devices based on Multivariate Optical Computing have been demonstrated. These devices have been based on the Multivariate Optical Element spectral calculation...

projectors Optical Metrology Laser Beam Machining Phase space measurement with forward modeling Spatial Light Modulation Multivariate optical computing Digital...

systems of multivariate equations. Various attempts to build secure multivariate equation encryption schemes have failed. However, multivariate signature...

angles of over 7 degrees from the normal. Machine vision Multivariate optical computing Optical microscopy Preclinical imaging Remote sensing Beeckman,...

photosensitive marker tags to decode the optical signals. By attaching tags with photo sensors to scene points, the tags can compute not only their own locations...

sometimes referred as F5 Faugère F5 algorithm, for computing the Gröbner basis of an ideal of a multivariate polynomial ring Nikon F5, a camera F5 tornado...

function in the MultivariateStats package KNIME – A java based nodal arranging software for Analysis, in this the nodes called PCA, PCA compute, PCA Apply...

development of computing devices and machines, people had to manually collect data and impose patterns on it. With the development of computing devices and...

digital certificates for secure communications Correspondence analysis, a multivariate statistical technique Cultural algorithm, a type of evolutionary computation...

color fringes and some roughness). These algorithms are examples of multivariate interpolation on a uniform grid, using relatively straightforward mathematical...

Cryptography Fault-tolerant computing Distributed computing Grid computing Parallel computing High-performance computing Quantum computing Computer graphics Image...

Flammia, Steven T.; Pfister, Olivier (2008-07-14). "One-way quantum computing in the optical frequency comb". Physical Review Letters. 101 (13): 130501. arXiv:0804...

Medical image computing (MIC) is an interdisciplinary field at the intersection of computer science, information engineering, electrical engineering,...

Wiley, ISBN 0-471-50728-8. Krzanowski, Wojtek J. (1988), Principles of multivariate analysis, Oxford Statistical Science Series, vol. 3, The Clarendon Press...

Training required 3 days. In 1990, Wei Zhang implemented a CNN on optical computing hardware. In 1991, a CNN was applied to medical image object segmentation...

software suite developed by IBM for data management, advanced analytics, multivariate analysis, business intelligence, and criminal investigation. Long produced...

a regular grid Lanczos resampling ("Lanzosh"): a multivariate interpolation method used to compute new values for any digitally sampled data Nearest-neighbor...

variable is an M-dimensional vector distributed according to an arbitrary multivariate Gaussian distribution, there will be M parameters controlling the means...

also non-negative matrix approximation is a group of algorithms in multivariate analysis and linear algebra where a matrix V is factorized into (usually)...

{\Sigma }})} is a multivariate normal distribution, then Y i = exp ⁡ ( X i ) {\displaystyle Y_{i}=\exp(X_{i})} has a multivariate log-normal distribution...

component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents. This is done by assuming that at...

the power spectrum to its arithmetic mean. Anti-reflective coatings: In optical coatings, where reflection needs to be minimised between two media of refractive...

effect, Anderson localization, quantum dots, and superconductors In multivariate statistics, random matrices were introduced by John Wishart, who sought...

algorithms exist which can compute the autocorrelation in order n log(n). For example, the Wiener–Khinchin theorem allows computing the autocorrelation from...

Soyemi, Paul J. Gemperline, "Filter Design Algorithm for Multi-variate Optical Computing", issued November 21, 2006  ECU News Services (September 20, 2001)...

Aomoto and independently by Ribando. It expresses them as an infinite multivariate Taylor series: Ω = Ω d | det ( V ) | ( 4 π ) d / 2 ∑ a → ∈ N 0 ( d 2...