tag :: squares | BibSonomy

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1P3LS: Partial Least Squares under Privacy Preservation
https://arxiv.org/pdf/2401.14884
a month ago by @scch
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least
partial
preservation
privacy
squares
leastpartialpreservationprivacysquares
(0)
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1Partial least squares regression with multiple domains
https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/cem.3477
a year ago by @scch
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chemometrics
deep-learning
least
partial
squares
chemometricsdeep-learningleastpartialsquares
(0)
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- history of this post
1Shouting into the void
https://padlet.com/katiedigc/void
2 years ago by @yish
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black
cameras
off
screens
squares
video
zoom
blackcamerasoffscreenssquaresvideozoom
(0)
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- history of this post
1Students Talk to Me About Webcams | Reflecting Allowed
https://blog.mahabali.me/educational-technology-2/students-talk-to-me-about-webcams/
2 years ago by @yish
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black
cameras
off
screens
squares
video
zoom
blackcamerasoffscreenssquaresvideozoom
(0)
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- community post
- history of this post
1Why students do not turn on their video cameras during online classes and an equitable and inclusive plan to encourage them to do so - Castelli - 2021 - Ecology and Evolution - Wiley Online Library
https://onlinelibrary.wiley.com/doi/full/10.1002/ece3.7123
2 years ago by @yish
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black
cameras
off
screens
squares
video
zoom
blackcamerasoffscreenssquaresvideozoom
(0)
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- community post
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1Why students do not turn on their video cameras during online classes and an equitable and inclusive plan to encourage them to do so
F. Castelli, and M. Sarvary. Ecology and Evolution, 11 (8): 3565-3576 (2021)
2 years ago by @yish
show all tags
Zoom
black
cameras
distance
instruction
learning
remote
screens
squares
synchronous
teaching
video
videoconferencing
Zoomblackcamerasdistanceinstructionlearningremotescreenssquaressynchronousteachingvideovideoconferencing
(0)
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2As-Projective-As-Possible Image Stitching with Moving DLT
J. Zaragoza, T. Chin, Q. Tran, M. Brown, and D. Suter. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36 (7): 1285-1298 (July 2014)
2 years ago by @dsuter
show all tags
Alignment;Image
DLT;moving
Least
Linear
Squares;Projective
Stitching;Image
Transformation;Image
Warps;direct
adjustment;estimation
alignment;as-projective-as-possible
alignment;moving
approximations;photography;transforms;2D
artifacts;moving
creation;photos;projective
direct
displays;Yarn;Direct
image
institutions;Estimation;Extrapolation;Three-dimensional
least
linear
processing;least
projective
realism;ghosting;homographies;image
squares
squares;panorama
squares;projective
stitching
stitching;Moving
stitching;as-projective-as-possible
technique;geometric
tools;misalignment
transformation;image
transformation;moving
transforms;as-projective-as-possible
warp;Cameras;Educational
warps
warps;bundle
Alignment;ImageDLT;movingLeastLinearSquares;ProjectiveStitching;ImageTransformation;ImageWarps;directadjustment;estimationalignment;as-projective-as-possiblealignment;movingapproximations;photography;transforms;2Dartifacts;movingcreation;photos;projectivedirectdisplays;Yarn;Directimageinstitutions;Estimation;Extrapolation;Three-dimensionalleastlinearprocessing;leastprojectiverealism;ghosting;homographies;imagesquaressquares;panoramasquares;projectivestitchingstitching;Movingstitching;as-projective-as-possibletechnique;geometrictools;misalignmenttransformation;imagetransformation;movingtransforms;as-projective-as-possiblewarp;Cameras;Educationalwarpswarps;bundle
(0)
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2As-Projective-As-Possible Image Stitching with Moving DLT
J. Zaragoza, T. Chin, M. Brown, and D. Suter. 2013 IEEE Conference on Computer Vision and Pattern Recognition, page 2339-2346. (June 2013)
2 years ago by @dsuter
show all tags
DLT;as-projective-as-possible
DLT;moving
Least
Squares
Stitching;Moving
algorithms;estimation
artefacts;image
conditions;model
deghosting;projective
direct
estimation;Moving
estimation;projective
hoc
image
inadequacies;moving
line
linear
matrix
methods;Vectors;DLT;Image
model;projective
models;Estimation;Extrapolation;Transmission
processing;motion
regions;imaging
stitching;as-projective-as-possible
technique;ghosting
transformation;post
warp;Cameras;Coplanar
warps;deghosting
waveguides;Data
DLT;as-projective-as-possibleDLT;movingLeastSquaresStitching;Movingalgorithms;estimationartefacts;imageconditions;modeldeghosting;projectivedirectestimation;Movingestimation;projectivehocimageinadequacies;movinglinelinearmatrixmethods;Vectors;DLT;Imagemodel;projectivemodels;Estimation;Extrapolation;Transmissionprocessing;motionregions;imagingstitching;as-projective-as-possibletechnique;ghostingtransformation;postwarp;Cameras;Coplanarwarps;deghostingwaveguides;Data
(0)
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1Using digital platforms to promote blood donation: Motivational and preliminary evidence from latin america and spain
J. Torrent-Sellens, C. Salazar-Concha, P. Ficapal-Cusí, and F. Saigí-Rubió. International Journal of Environmental Research and Public Health, (2021)cited By 1.
3 years ago by @cristiansalazar
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America;
Behavior;
Blood
Central
Donors;
Humans;
Intention;
Latin
Motivation;
Planned
Questionnaires
South
Spain,
Spain;
Surveys
Theory
adult;
aging
analysis;
and
article;
attitude;
behavior;
blood
blood;
clinical
consumer
consumption
controlled
demand
digitization;
donor;
equation
expectancy;
experiment;
female;
geography,
human
human;
least
life
lifestyle;
major
male;
medical
method;
modeling;
mood;
motivation;
of
population;
prediction;
questionnaire;
square
squares
structural
study;
trust;
America;Behavior;BloodCentralDonors;Humans;Intention;LatinMotivation;PlannedQuestionnairesSouthSpain,Spain;SurveysTheoryadult;aginganalysis;andarticle;attitude;behavior;bloodblood;clinicalconsumerconsumptioncontrolleddemanddigitization;donor;equationexpectancy;experiment;female;geography,humanhuman;leastlifelifestyle;majormale;medicalmethod;modeling;mood;motivation;ofpopulation;prediction;questionnaire;squaresquaresstructuralstudy;trust;
(0)
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1Econometric Analysis of Small Business Lending
M. Rustamov. International Journal of Trend in Scientific Research and Development, 4 (5): 1337-1340 (August 2020)
4 years ago by @ijtsrd
show all tags
Economics
Financial
Least
OLS
Ordinary
SMEs
Squares
employment
entrepreneurship
lending
EconomicsFinancialLeastOLSOrdinarySMEsSquaresemploymententrepreneurshiplending
(0)
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1Salinity and thermal tolerance of Japanese stream tree frog (Buergeria japonica) tadpoles from island populations
S. Komaki, T. Igawa, S. Lin, and M. Sumida. Herpetological Journal, 26 (July): 209--213 (2016)
4 years ago by @tigawa
show all tags
agricultural
analysis,habitat
factor
landscapes,amphibian
least
niche
path
preference,landscape,modeling,parameters,partial
presence,ecological
squares
agriculturalanalysis,habitatfactorlandscapes,amphibianleastnichepathpreference,landscape,modeling,parameters,partialpresence,ecologicalsquares
(0)
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1Comparative Study of Compressive Sensing Techniques For Image Enhancement
S. Ujan, S. Ghorshi, and M. Pourebrahim. International Journal of Image Processing (IJIP), 11 (1): 106-120 (August 2017)
5 years ago by @cscjournals
show all tags
(BL,
(BM3D)
(BP),
(CoSaMP),
(D-AMP),
(NLM),
3D
Approximate
Basis
Bayesian
Block
Compressive
Gaussian
Least
Matching
Means
Message
Mixtures
Non-local
Passing
Pursuit
Sampling
Scale
Sensing,
Squares
collaborative
filter
(BL,(BM3D)(BP),(CoSaMP),(D-AMP),(NLM),3DApproximateBasisBayesianBlockCompressiveGaussianLeastMatchingMeansMessageMixturesNon-localPassingPursuitSamplingScaleSensing,Squarescollaborativefilter
(0)
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1Algorithmic Review for Voice and Speech Recognition.
S. Kurkute, and D. Agrawal. SCIENCE PARK, (September 2013)
10 years ago by @sciencejournal
show all tags
(AFA)
(NLMS)
(RLS)
Adaptive
Averaging
Filtering
Least
Mean
Normalized
Recursive
Squares
with
(AFA)(NLMS)(RLS)AdaptiveAveragingFilteringLeastMeanNormalizedRecursiveSquareswith
(0)
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2Concurrent 3-D motion segmentation and 3-D interpretation of temporal sequences of monocular images
H. Sekkati, and A. Mitiche. IEEE Trans. on Image Processing, 15 (3): 641--653 (2006)
11 years ago by @guillem.palou
show all tags
3D
analysis
approximationsEuler-Lagrange
concurrent
equati,
image
images,
iterative
least
methods,
monocular
motion
motion,
segmentation,
sequence
sequences,
sequences,image
spatiotemporal
squares
stereoscopic
temporal
variation,
3DanalysisapproximationsEuler-Lagrangeconcurrentequati,imageimages,iterativeleastmethods,monocularmotionmotion,segmentation,sequencesequences,sequences,imagespatiotemporalsquaresstereoscopictemporalvariation,
(0)
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1D-MORPH regression for modeling with fewer unknown parameters than observation data
G. Li, R. Rey-de Castro, and H. Rabitz. Journal of Mathematical Chemistry, 50 (7): 1747-1764 (August 2012)
12 years ago by @drmatusek
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analysis
data
fit
least
mathematics
squares
analysisdatafitleastmathematicssquares
(0)
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1Non linear adjustments with external conditions
R. Marquardt. Journal of Mathematical Chemistry, 50 (3): 577-587 (March 2012)
12 years ago by @drmatusek
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analysis
data
fit
least
mathematics
squares
analysisdatafitleastmathematicssquares
(0)
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1The method of (not so) ordinary least squares: what can go wrong and how to fix them
J. Banerji. Contemporary Physics, 52 (3): 181-195 (April 2011)
13 years ago by @drmatusek
show all tags
analysis
fit
least
mathematics
review
squares
analysisfitleastmathematicsreviewsquares
(0)
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3Image registration using log-polar mappings for recovery of large-scale similarity and projective transformations
S. Zokai, and G. Wolberg. IEEE Transactions on Image Processing, 14 (10): 1422-1434 (Oct. 2005)
13 years ago by @cocus
show all tags
Corel
Fourier
Fourier-Mellin
Levenberg-Marquardt
Library,
Photo
Stock
approximations,
array
domain
image
image,
large-scale
least
least-squares
log-polar
mappings,
nonlinear
optimisation,
optimization,
pair,
photographic
photography
projective
registration,
similarity,
spatial
squares
transform,
transformation,
transforms,
CorelFourierFourier-MellinLevenberg-MarquardtLibrary,PhotoStockapproximations,arraydomainimageimage,large-scaleleastleast-squareslog-polarmappings,nonlinearoptimisation,optimization,pair,photographicphotographyprojectiveregistration,similarity,spatialsquarestransform,transformation,transforms,
(0)
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3Image registration using log-polar mappings for recovery of large-scale similarity and projective transformations
S. Zokai, and G. Wolberg. 14 (10): 1422-1434 (Oct. 2005)
13 years ago by @cocus
show all tags
Corel
Fourier
Fourier-Mellin
Levenberg-Marquardt
Library,
Photo
Stock
approximations,
array
domain
image
image,
large-scale
least
least-squares
log-polar
mappings,
nonlinear
optimisation,
optimization,
pair,
photographic
photography
projective
registration,
similarity,
spatial
squares
transform,
transformation,
transforms,
CorelFourierFourier-MellinLevenberg-MarquardtLibrary,PhotoStockapproximations,arraydomainimageimage,large-scaleleastleast-squareslog-polarmappings,nonlinearoptimisation,optimization,pair,photographicphotographyprojectiveregistration,similarity,spatialsquarestransform,transformation,transforms,
(0)
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3Sampling---50 years after Shannon
M. Unser, and M. Unser. Proceedings of the IEEE, 88, page 569--587. (April 2000)
13 years ago by @cocus
show all tags
(mathematics),
Hilbert
Hilbert-space
Papoulis
Shannon's
anti-aliasing
approximation
approximations,
band-limited
basis
elements,
error,
finite
formulation,
frames,
function
functions,
generalized
information
input,
interpolation
interpolation,
irregular
least
models,
multiwavelets,
networks,
nonbandlimited
orthogonal
paradigm,
prefilters,
projection,
radial
rate,
regular
sampling
sampling,
shift-in-variant
signal
spaces,
splines
splines,
squares
theorem,
theory
theory,
transforms,
wavelet
(mathematics),HilbertHilbert-spacePapoulisShannon'santi-aliasingapproximationapproximations,band-limitedbasiselements,error,finiteformulation,frames,functionfunctions,generalizedinformationinput,interpolationinterpolation,irregularleastmodels,multiwavelets,networks,nonbandlimitedorthogonalparadigm,prefilters,projection,radialrate,regularsamplingsampling,shift-in-variantsignalspaces,splinessplines,squarestheorem,theorytheory,transforms,wavelet
(0)
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1The Use of Matched Sampling and Regression Adjustment to Remove Bias in Observational Studies
D. Rubin. Biometrics, (1973)
15 years ago by @jwbowers
show all tags
Blocking;
Least
Response
estimate
squares
surface;
Blocking;LeastResponseestimatesquaressurface;
(0)
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2Inferring a System of Differential Equations for a Gene Regulatory Network by using Genetic Programming
E. Sakamoto, and H. Iba. Proceedings of the 2001 Congress on Evolutionary Computation CEC2001, page 720--726. COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, IEEE Press, (27-30 May 2001)
16 years ago by @brazovayeye
show all tags
algorithms,
genetic
least
mean
programming,
squares
algorithms,geneticleastmeanprogramming,squares
(0)
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1Dynamical model reconstruction and accurate prediction of power-pool time series
V. Varadan, H. Leung, and E. Bosse. IEEE Transactions on Instrumentation and Measurement, 55 (1): 327--336 (February 2006)
16 years ago by @brazovayeye
show all tags
(RBF)
Chaos,
GP,
Lyapunov
Lyapunov-dimension
Lyapunov-spectrum,
algorithms,
analysis,
and
approximations,
attractor-dimension,
basis
calculation,
chaos,
chaotic
correlation-dimension
delay
demand
demand,
dimension,
dynamical
dynamics,
embedding
embedding,
estimates,
estimation,
exponents,
fractal
fractal-dimension
fractals,
function
genetic
least
local
low-dimensional
markets,
methods,
model
net
network,
neural
nonlinear
nonlinearity
power
power-pool
prediction
prediction,
predictor,
price
price,
programming,
radial
reconstruction,
series
series,
squares
state-space
stationarity
system,
systems,
tests,
theory,
time
time-series
(RBF)Chaos,GP,LyapunovLyapunov-dimensionLyapunov-spectrum,algorithms,analysis,andapproximations,attractor-dimension,basiscalculation,chaos,chaoticcorrelation-dimensiondelaydemanddemand,dimension,dynamicaldynamics,embeddingembedding,estimates,estimation,exponents,fractalfractal-dimensionfractals,functiongeneticleastlocallow-dimensionalmarkets,methods,modelnetnetwork,neuralnonlinearnonlinearitypowerpower-poolpredictionprediction,predictor,priceprice,programming,radialreconstruction,seriesseries,squaresstate-spacestationaritysystem,systems,tests,theory,timetime-series
(0)
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2Fast residual computation for sliding window recursive least squares methods
K. Yoo, and H. Park. Signal Processing, 45 (1): 85--95 (July 1995)
16 years ago by @smicha
show all tags
Recursive
least
squares
Recursiveleastsquares
(0)
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1A geometric approach of the generalized least-squares estimation in analysis of covariance structures
S. Wang, and S. Lee. Statistics & Probability Letters, 24 (1): 39--47 (July 1995)
16 years ago by @smicha
show all tags
Generalized
least
squares
Generalizedleastsquares
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BibSonomy

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1P3LS: Partial Least Squares under Privacy Preservation

1Partial least squares regression with multiple domains

1Shouting into the void

1Students Talk to Me About Webcams | Reflecting Allowed

1Why students do not turn on their video cameras during online classes and an equitable and inclusive plan to encourage them to do so - Castelli - 2021 - Ecology and Evolution - Wiley Online Library

publications (hide)85
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1Why students do not turn on their video cameras during online classes and an equitable and inclusive plan to encourage them to do so

2As-Projective-As-Possible Image Stitching with Moving DLT

2As-Projective-As-Possible Image Stitching with Moving DLT

1Using digital platforms to promote blood donation: Motivational and preliminary evidence from latin america and spain

1Econometric Analysis of Small Business Lending

1Salinity and thermal tolerance of Japanese stream tree frog (Buergeria japonica) tadpoles from island populations

1Comparative Study of Compressive Sensing Techniques For Image Enhancement

1Algorithmic Review for Voice and Speech Recognition.

2Concurrent 3-D motion segmentation and 3-D interpretation of temporal sequences of monocular images

1D-MORPH regression for modeling with fewer unknown parameters than observation data

1Non linear adjustments with external conditions

1The method of (not so) ordinary least squares: what can go wrong and how to fix them

3Image registration using log-polar mappings for recovery of large-scale similarity and projective transformations

3Image registration using log-polar mappings for recovery of large-scale similarity and projective transformations

3Sampling---50 years after Shannon

1The Use of Matched Sampling and Regression Adjustment to Remove Bias in Observational Studies

2Inferring a System of Differential Equations for a Gene Regulatory Network by using Genetic Programming

1Dynamical model reconstruction and accurate prediction of power-pool time series

2Fast residual computation for sliding window recursive least squares methods

1A geometric approach of the generalized least-squares estimation in analysis of covariance structures

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