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1,191 to 1,200 of 1,582 Results
compute_diagonal_entries_eff.m
Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices
Plain Text - 901 B - MD5: f744027d3a7d0929f9d4653cb3f833d2
efficient algorithm for diagonal entries
compute_diagonal_entries_ref.m
Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices
Plain Text - 778 B - MD5: 32a42e3cbafab402b2af4837a404ddf1
reference method for diagonal entries
compute_full_matrix_eff.m
Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices
Plain Text - 907 B - MD5: 2954d4415510f4f71d8a47df49e55cd4
efficient algorithm for full matrix
compute_full_matrix_ref.m
Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices
Plain Text - 659 B - MD5: 22f20a3cfc19519a2553461acc0b213e
reference method for full matrix
generate_system_3d_frame.m
Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices
Plain Text - 7.8 KB - MD5: dc7dbde7eabb99aef6b64a85d39f6b15
generate data for example 3
generate_system_mero_roof.m
Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices
Plain Text - 5.1 KB - MD5: 333a06641fdac10d8288ec54fa933dd8
generate data for example 2
generate_system_truss_cylinder.m
Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices
Plain Text - 5.4 KB - MD5: 64636eecc921eacea9e4a5e1bd535b75
generate data for example 1
LICENSE.txt
Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices
Plain Text - 1.4 KB - MD5: 6ca1cc528070943a7d930345d878fd1d
main.m
Jun 16, 2023 - Matlab Implementation of Efficient Computation of Redundancy Matrices
Plain Text - 3.2 KB - MD5: 84db747d55f55f53143117a0cf584530
BTST-main.zip
Jun 12, 2023 - Replication Data for: Been There, Seen That: Visualization of Movement and 3D Eye Tracking Data from Real-World Environments
ZIP Archive - 30.4 MB - MD5: fcc189c5efc2ffbd24feb30c32b1a90e
This file contains the Unity project for the desktop-based visualization techniques introduced in the paper "Been There, Seen That (BTST): Visualization of 3D eye tracking data from real world environments"
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