normalized symmetric laplacian matrix Search Results


normalized symmetric laplacian matrix  (MathWorks Inc)
90
MathWorks Inc normalized symmetric laplacian matrix
Normalized Symmetric Laplacian Matrix, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/normalized symmetric laplacian matrix/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
normalized symmetric laplacian matrix - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
laplacian  (Siemens AG)
90
Siemens AG laplacian
Laplacian, supplied by Siemens AG, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/laplacian/product/Siemens AG
Average 90 stars, based on 1 article reviews
laplacian - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
laplacian transform  (MetaMorph Inc)
90
MetaMorph Inc laplacian transform
Laplacian Transform, supplied by MetaMorph Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/laplacian transform/product/MetaMorph Inc
Average 90 stars, based on 1 article reviews
laplacian transform - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
forward euler solver using matlab’s del2 discretized approximation of the laplacian  (MathWorks Inc)
90
MathWorks Inc forward euler solver using matlab’s del2 discretized approximation of the laplacian
Forward Euler Solver Using Matlab’s Del2 Discretized Approximation Of The Laplacian, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/forward euler solver using matlab’s del2 discretized approximation of the laplacian/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
forward euler solver using matlab’s del2 discretized approximation of the laplacian - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
laplacian filter  (MathWorks Inc)
90
MathWorks Inc laplacian filter
The effect of spatial filtering on MLP-NN classification accuracy. No-Filter shows the detection accuracy with no spatial filter. CAR shows the effect of re-referencing by Common Average Reference (CAR). CAR & Lap shows the effect of both re-referencing by CAR and applying the <t>Laplacian</t> filter. The standard deviations are [0.7,0.5, 0.6, 0.5,1.2,0.6] for the 1st to 6th bar, respectively. The accuracy of no-Filter dataset was significantly higher than those of CSP dataset and Laplacian dataset. The accuracy of CSP was significantly higher than Laplacian. Adding CAR did not changed the accuracies significantly.
Laplacian Filter, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/laplacian filter/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
laplacian filter - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
laplacian pyramid  (MathWorks Inc)
90
MathWorks Inc laplacian pyramid
The effect of spatial filtering on MLP-NN classification accuracy. No-Filter shows the detection accuracy with no spatial filter. CAR shows the effect of re-referencing by Common Average Reference (CAR). CAR & Lap shows the effect of both re-referencing by CAR and applying the <t>Laplacian</t> filter. The standard deviations are [0.7,0.5, 0.6, 0.5,1.2,0.6] for the 1st to 6th bar, respectively. The accuracy of no-Filter dataset was significantly higher than those of CSP dataset and Laplacian dataset. The accuracy of CSP was significantly higher than Laplacian. Adding CAR did not changed the accuracies significantly.
Laplacian Pyramid, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/laplacian pyramid/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
laplacian pyramid - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
laplacian-corrected naive bayesian classifier models  (Accelrys)
90
Accelrys laplacian-corrected naive bayesian classifier models
The effect of spatial filtering on MLP-NN classification accuracy. No-Filter shows the detection accuracy with no spatial filter. CAR shows the effect of re-referencing by Common Average Reference (CAR). CAR & Lap shows the effect of both re-referencing by CAR and applying the <t>Laplacian</t> filter. The standard deviations are [0.7,0.5, 0.6, 0.5,1.2,0.6] for the 1st to 6th bar, respectively. The accuracy of no-Filter dataset was significantly higher than those of CSP dataset and Laplacian dataset. The accuracy of CSP was significantly higher than Laplacian. Adding CAR did not changed the accuracies significantly.
Laplacian Corrected Naive Bayesian Classifier Models, supplied by Accelrys, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/laplacian-corrected naive bayesian classifier models/product/Accelrys
Average 90 stars, based on 1 article reviews
laplacian-corrected naive bayesian classifier models - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
electron density and its laplacian  (Verlag GmbH)
90
Verlag GmbH electron density and its laplacian
The effect of spatial filtering on MLP-NN classification accuracy. No-Filter shows the detection accuracy with no spatial filter. CAR shows the effect of re-referencing by Common Average Reference (CAR). CAR & Lap shows the effect of both re-referencing by CAR and applying the <t>Laplacian</t> filter. The standard deviations are [0.7,0.5, 0.6, 0.5,1.2,0.6] for the 1st to 6th bar, respectively. The accuracy of no-Filter dataset was significantly higher than those of CSP dataset and Laplacian dataset. The accuracy of CSP was significantly higher than Laplacian. Adding CAR did not changed the accuracies significantly.
Electron Density And Its Laplacian, supplied by Verlag GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/electron density and its laplacian/product/Verlag GmbH
Average 90 stars, based on 1 article reviews
electron density and its laplacian - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
constrained laplacian smoothing  (Hielscher Ultrasonics)
90
Hielscher Ultrasonics constrained laplacian smoothing
The effect of spatial filtering on MLP-NN classification accuracy. No-Filter shows the detection accuracy with no spatial filter. CAR shows the effect of re-referencing by Common Average Reference (CAR). CAR & Lap shows the effect of both re-referencing by CAR and applying the <t>Laplacian</t> filter. The standard deviations are [0.7,0.5, 0.6, 0.5,1.2,0.6] for the 1st to 6th bar, respectively. The accuracy of no-Filter dataset was significantly higher than those of CSP dataset and Laplacian dataset. The accuracy of CSP was significantly higher than Laplacian. Adding CAR did not changed the accuracies significantly.
Constrained Laplacian Smoothing, supplied by Hielscher Ultrasonics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/constrained laplacian smoothing/product/Hielscher Ultrasonics
Average 90 stars, based on 1 article reviews
constrained laplacian smoothing - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
parametric entropy coding approaches based on laplacian and related distribution models  (Tanabe)
90
Tanabe parametric entropy coding approaches based on laplacian and related distribution models
The effect of spatial filtering on MLP-NN classification accuracy. No-Filter shows the detection accuracy with no spatial filter. CAR shows the effect of re-referencing by Common Average Reference (CAR). CAR & Lap shows the effect of both re-referencing by CAR and applying the <t>Laplacian</t> filter. The standard deviations are [0.7,0.5, 0.6, 0.5,1.2,0.6] for the 1st to 6th bar, respectively. The accuracy of no-Filter dataset was significantly higher than those of CSP dataset and Laplacian dataset. The accuracy of CSP was significantly higher than Laplacian. Adding CAR did not changed the accuracies significantly.
Parametric Entropy Coding Approaches Based On Laplacian And Related Distribution Models, supplied by Tanabe, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/parametric entropy coding approaches based on laplacian and related distribution models/product/Tanabe
Average 90 stars, based on 1 article reviews
parametric entropy coding approaches based on laplacian and related distribution models - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
algorithm based on a laplacian contraction method  (MathWorks Inc)
90
MathWorks Inc algorithm based on a laplacian contraction method
Semi-automated segmentation of the root system point cloud. Point cloud of the root system with the scaffold is aligned to a predefined reference model by performing linear transform on manually picked target points to the control points (A) . Point cloud of the scaffold is removed based on the position and color information (B) . Blue noise on the root is then removed using a threshold method (C) . A post manual processing is conducted to further clean the root system point cloud (D) . Point cloud is skeletonized into a network system using an algorithm based on a <t>Laplacian</t> contraction method (E) .
Algorithm Based On A Laplacian Contraction Method, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/algorithm based on a laplacian contraction method/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
algorithm based on a laplacian contraction method - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
laplacian scaling parameter  (Cosman Medical)
90
Cosman Medical laplacian scaling parameter
Semi-automated segmentation of the root system point cloud. Point cloud of the root system with the scaffold is aligned to a predefined reference model by performing linear transform on manually picked target points to the control points (A) . Point cloud of the scaffold is removed based on the position and color information (B) . Blue noise on the root is then removed using a threshold method (C) . A post manual processing is conducted to further clean the root system point cloud (D) . Point cloud is skeletonized into a network system using an algorithm based on a <t>Laplacian</t> contraction method (E) .
Laplacian Scaling Parameter, supplied by Cosman Medical, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/laplacian scaling parameter/product/Cosman Medical
Average 90 stars, based on 1 article reviews
laplacian scaling parameter - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

Image Search Results


The effect of spatial filtering on MLP-NN classification accuracy. No-Filter shows the detection accuracy with no spatial filter. CAR shows the effect of re-referencing by Common Average Reference (CAR). CAR & Lap shows the effect of both re-referencing by CAR and applying the Laplacian filter. The standard deviations are [0.7,0.5, 0.6, 0.5,1.2,0.6] for the 1st to 6th bar, respectively. The accuracy of no-Filter dataset was significantly higher than those of CSP dataset and Laplacian dataset. The accuracy of CSP was significantly higher than Laplacian. Adding CAR did not changed the accuracies significantly.

Journal: IEEE ... International Conference on Rehabilitation Robotics : [proceedings]

Article Title: Evaluation of Multi-layer Perceptron Neural Networks in Predicting Ankle Dorsiflexion in Healthy Adults using Movement-related Cortical Potentials for BCI-Neurofeedback Applications

doi: 10.1109/ICORR55369.2022.9896584

Figure Lengend Snippet: The effect of spatial filtering on MLP-NN classification accuracy. No-Filter shows the detection accuracy with no spatial filter. CAR shows the effect of re-referencing by Common Average Reference (CAR). CAR & Lap shows the effect of both re-referencing by CAR and applying the Laplacian filter. The standard deviations are [0.7,0.5, 0.6, 0.5,1.2,0.6] for the 1st to 6th bar, respectively. The accuracy of no-Filter dataset was significantly higher than those of CSP dataset and Laplacian dataset. The accuracy of CSP was significantly higher than Laplacian. Adding CAR did not changed the accuracies significantly.

Article Snippet: Laplacian filter was applied using Current Source Density (CSD) toolbox version 1.1 in MATLAB.

Techniques:

True positive rates (TPR) and false rates (FPR).

Journal: IEEE ... International Conference on Rehabilitation Robotics : [proceedings]

Article Title: Evaluation of Multi-layer Perceptron Neural Networks in Predicting Ankle Dorsiflexion in Healthy Adults using Movement-related Cortical Potentials for BCI-Neurofeedback Applications

doi: 10.1109/ICORR55369.2022.9896584

Figure Lengend Snippet: True positive rates (TPR) and false rates (FPR).

Article Snippet: Laplacian filter was applied using Current Source Density (CSD) toolbox version 1.1 in MATLAB.

Techniques:

Semi-automated segmentation of the root system point cloud. Point cloud of the root system with the scaffold is aligned to a predefined reference model by performing linear transform on manually picked target points to the control points (A) . Point cloud of the scaffold is removed based on the position and color information (B) . Blue noise on the root is then removed using a threshold method (C) . A post manual processing is conducted to further clean the root system point cloud (D) . Point cloud is skeletonized into a network system using an algorithm based on a Laplacian contraction method (E) .

Journal: Frontiers in Plant Science

Article Title: Root system architecture and environmental flux analysis in mature crops using 3D root mesocosms

doi: 10.3389/fpls.2022.1041404

Figure Lengend Snippet: Semi-automated segmentation of the root system point cloud. Point cloud of the root system with the scaffold is aligned to a predefined reference model by performing linear transform on manually picked target points to the control points (A) . Point cloud of the scaffold is removed based on the position and color information (B) . Blue noise on the root is then removed using a threshold method (C) . A post manual processing is conducted to further clean the root system point cloud (D) . Point cloud is skeletonized into a network system using an algorithm based on a Laplacian contraction method (E) .

Article Snippet: To be able to compute the length dependent features, point cloud is skeletonized into a network system using an algorithm based on a Laplacian contraction method , which was conducted in MATLAB R2017a.

Techniques: Control