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2Hypergraph modelling for geometric model fitting
G. Xiao, H. Wang, T. Lai, and D. Suter. Pattern Recognition, (2016)
3 years ago by @dsuter
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Geometric
Hypergraph
fitting,
model
modelling,
partition
GeometricHypergraphfitting,modelmodelling,partition
(0)
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1The Random Cluster Model for Robust Geometric Fitting
T. Pham, T. Chin, J. Yu, and D. Suter. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36 (8): 1658-1671 (August 2014)
3 years ago by @dsuter
show all tags
cluster
clusters;fitting
computer
cuts;hypothesis
fitting;Accuracy;Computational
fitting;guided
framework;computer
generation;multiple
generation;robust
geometric
hypothesis
model
model;random
modeling;Data
models;Generators;Labeling;Optimization;Robustness;Robust
noise;minimal
optimization;graph
sampling;hypothesis
sampling;measurement
selection;random
spin
structures
subsets
systems;data
theory;annealing
theory;set
vision;coupled
vision;graph
clusterclusters;fittingcomputercuts;hypothesisfitting;Accuracy;Computationalfitting;guidedframework;computergeneration;multiplegeneration;robustgeometrichypothesismodelmodel;randommodeling;Datamodels;Generators;Labeling;Optimization;Robustness;Robustnoise;minimaloptimization;graphsampling;hypothesissampling;measurementselection;randomspinstructuressubsetssystems;datatheory;annealingtheory;setvision;coupledvision;graph
(0)
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1Robust Model Fitting Using Higher Than Minimal Subset Sampling
R. Tennakoon, A. Bab-Hadiashar, Z. Cao, R. Hoseinnezhad, and D. Suter. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38 (2): 350-362 (February 2016)
3 years ago by @dsuter
show all tags
Statistics;data
data
error;Noise;Robustness;Model
fitting;Robust
fitting;subset
function;Data
generation;minimal
generation;robust
hypotheses;robust
methods;data
minimal
model
modeling;Cost
models;Computational
models;Estimation
sampling;Analytical
sampling;hypothesis
sampling;noise
segmentation;higher
statistics
structure;hypothesis
structures;sampling
subset
than
Statistics;datadataerror;Noise;Robustness;Modelfitting;Robustfitting;subsetfunction;Datageneration;minimalgeneration;robusthypotheses;robustmethods;dataminimalmodelmodeling;Costmodels;Computationalmodels;Estimationsampling;Analyticalsampling;hypothesissampling;noisesegmentation;higherstatisticsstructure;hypothesisstructures;samplingsubsetthan
(0)
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1Mode seeking over permutations for rapid geometric model fitting
H. Wong, T. Chin, J. Yu, and D. Suter. Pattern Recognition, 46 (1): 257--271 (2013)
3 years ago by @dsuter
show all tags
Geometric
Hypothesis
Mode
Multi-structure
data,
fitting,
model
over
permutations
sampling,
seeking
GeometricHypothesisModeMulti-structuredata,fitting,modeloverpermutationssampling,seeking
(0)
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1Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting
H. Wang, G. Xiao, Y. Yan, and D. Suter. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41 (3): 697-711 (March 2019)
3 years ago by @dsuter
show all tags
Data
complexity;Analytical
construction;mode-seeking;multi-structure
data
fitting;hypergraph
model
modeling;Robustness;Fitting;Computer
models;Computational
models;Geometric
vision;Computational
Datacomplexity;Analyticalconstruction;mode-seeking;multi-structuredatafitting;hypergraphmodelmodeling;Robustness;Fitting;Computermodels;Computationalmodels;Geometricvision;Computational
(0)
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2Robust Data Modelling Using Thin Plate Splines
R. Tennakoon, A. Bab-Hadiashar, D. Suter, and Z. Cao. 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA), page 1-8. (November 2013)
3 years ago by @dsuter
show all tags
(mathematics)
(mathematics);computer
K-th
computer
data
fitting
fitting;pseudo-outliers;robust
function;Data
model
model;Robustness;Splines
modeling;Computer
modelling;robust
models;Mathematical
order
plate
spline
splines;Computational
statistical
techniques;thin
vision;Cost
vision;least
vision;splines
(mathematics)(mathematics);computerK-thcomputerdatafittingfitting;pseudo-outliers;robustfunction;Datamodelmodel;Robustness;Splinesmodeling;Computermodelling;robustmodels;Mathematicalorderplatesplinesplines;Computationalstatisticaltechniques;thinvision;Costvision;leastvision;splines
(0)
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2Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting
H. Wang, G. Xiao, Y. Yan, and D. Suter. 2015 IEEE International Conference on Computer Vision (ICCV), page 2902-2910. (December 2015)
3 years ago by @dsuter
show all tags
data;real
data;weight-aware
detection;MSH;computer
detection;multistructure
distribution;data
fitting;similarity
geometric
geometry;graph
hypergraph;model
hypotheses;model
image;robust
instance
measure;synthetic
measurement
model
model;Robustness;Weight
modeling;Computer
models;Kernel;Mathematical
on
points;hyperedge;mode-seeking
sampling
sampling;object
technique;Computational
theory;image
vision;Data
vision;data
data;realdata;weight-awaredetection;MSH;computerdetection;multistructuredistribution;datafitting;similaritygeometricgeometry;graphhypergraph;modelhypotheses;modelimage;robustinstancemeasure;syntheticmeasurementmodelmodel;Robustness;Weightmodeling;Computermodels;Kernel;Mathematicalonpoints;hyperedge;mode-seekingsamplingsampling;objecttechnique;Computationaltheory;imagevision;Datavision;data
(0)
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1Retrieving 3D CAD models using 2D images with optimized weights
L. Li, H. Wang, T. Chin, D. Suter, and S. Zhang. Image and Signal Processing (CISP), 2010 3rd International Congress on, 4, page 1586 -1589. (October 2010)
3 years ago by @dsuter
show all tags
(signal);support
2D
CAD
descriptor;human
image
machine;vector
machines;
model
multipliers;PHOG
quantization;CAD;image
recognition;image
recognition;optimized
representation;image
retina;human
retrieval;3D
retrieval;Lagrange
retrieval;quantisation
vector
visual
weights;support
(signal);support2DCADdescriptor;humanimagemachine;vectormachines;modelmultipliers;PHOGquantization;CAD;imagerecognition;imagerecognition;optimizedrepresentation;imageretina;humanretrieval;3Dretrieval;Lagrangeretrieval;quantisationvectorvisualweights;support
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2Hypergraph modelling for geometric model fitting

1The Random Cluster Model for Robust Geometric Fitting

1Robust Model Fitting Using Higher Than Minimal Subset Sampling

1Mode seeking over permutations for rapid geometric model fitting

1Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting

2Robust Data Modelling Using Thin Plate Splines

2Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting

1Retrieving 3D CAD models using 2D images with optimized weights

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