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Multiple Alignment of Spatiotemporal Deformable Objects for the Average-Organ Computation
Computer Vision - ECCV 2014 Workshops - Lecture Notes in Computer Science
◽
10.1007/978-3-319-16220-1_25
◽
2015
◽
pp. 353-366
◽
Cited By ~ 4
Author(s):
Shun Inagaki
◽
Hayato Itoh
◽
Atsushi Imiya
Keyword(s):
Multiple Alignment
◽
Deformable Objects
Download Full-text
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References
A Heuristic Method Based on Multi-Objective Optimization Concept for Solving RNA Multiple Alignment
International Review of Automatic Control (IREACO)
◽
10.15866/ireaco.v10i5.12395
◽
2017
◽
Vol 10
(5)
◽
pp. 371
Author(s):
Arakil Chentoufi
◽
Abdelhakim El Fatmi
◽
Molay Ali Bekri
◽
Said Benhlima
◽
Mohamed Sabbane
Keyword(s):
Heuristic Method
◽
Multiple Alignment
◽
Multi Objective Optimization
◽
Multi Objective
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Faculty Opinions recommendation of How much backbone motion in ubiquitin is required to account for dipolar coupling data measured in multiple alignment media as assessed by independent cross-validation?
Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
◽
10.3410/f.1018180.207651
◽
2004
◽
Author(s):
David Cowburn
Keyword(s):
Cross Validation
◽
Dipolar Coupling
◽
Multiple Alignment
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A review of collision detection for deformable objects
Computer Animation and Virtual Worlds
◽
10.1002/cav.1987
◽
2021
◽
Author(s):
Monan Wang
◽
Jiaqi Cao
Keyword(s):
Collision Detection
◽
Deformable Objects
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Dynamic manipulation of deformable objects with implicit integration
IEEE Robotics and Automation Letters
◽
10.1109/lra.2021.3066969
◽
2021
◽
pp. 1-1
Author(s):
Simon Zimmermann
◽
Roi Poranne
◽
Stelian Coros
Keyword(s):
Deformable Objects
◽
Implicit Integration
◽
Dynamic Manipulation
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PRALINETM: a strategy for improved multiple alignment of transmembrane proteins
Bioinformatics
◽
10.1093/bioinformatics/btm636
◽
2008
◽
Vol 24
(4)
◽
pp. 492-497
◽
Cited By ~ 74
Author(s):
W. Pirovano
◽
K. A. Feenstra
◽
J. Heringa
Keyword(s):
Transmembrane Proteins
◽
Multiple Alignment
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Direct and Intuitive Interface for 3-D Shape Operation Using Deformable Objects as Input Tools.
TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C
◽
10.1299/kikaic.61.4817
◽
1995
◽
Vol 61
(592)
◽
pp. 4817-4824
◽
Cited By ~ 1
Author(s):
Tamotsu Murakami
◽
Atsuhiko Imai
◽
Kiyoka Takagi
◽
Naomasa Nakajima
Keyword(s):
Deformable Objects
◽
Intuitive Interface
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Haptic perception of shape and hollowness of deformable objects using the anthrobot-III robot hand
Journal of Robotic Systems
◽
10.1002/(sici)1097-4563(199901)16:1<9::aid-rob2>3.0.co;2-#
◽
1999
◽
Vol 16
(1)
◽
pp. 9-24
◽
Cited By ~ 2
Author(s):
I. Erkmen
◽
A. M. Erkmen
◽
A. E. Tekkaya
◽
T. Pasinlio?lu
Keyword(s):
Haptic Perception
◽
Deformable Objects
◽
Robot Hand
Download Full-text
Robotic Interaction with Deformable Objects under Vision and Tactile Guidance - a Review
2007 International Workshop on Robotic and Sensors Environments
◽
10.1109/rose.2007.4373965
◽
2007
◽
Cited By ~ 9
Author(s):
Fouad F. Khalil
◽
Pierre Payeur
Keyword(s):
Deformable Objects
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Efficient model-based 3D tracking of deformable objects
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1
◽
10.1109/iccv.2005.84
◽
2005
◽
Cited By ~ 13
Author(s):
E. Munoz
◽
J.M. Buenaposada
◽
L. Baumela
Keyword(s):
Deformable Objects
◽
3D Tracking
◽
Model Based
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A hierarchical statistical framework for the segmentation of deformable objects in image sequences
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94
◽
10.1109/cvpr.1994.323887
◽
1994
◽
Cited By ~ 36
Author(s):
Kervrann
◽
Heitz
Keyword(s):
Image Sequences
◽
Deformable Objects
◽
Statistical Framework
Download Full-text
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