Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Tat-Jun Chin

Showing results (1-10 of 17) with videos related to

Pageof 2
Sort By:
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 12, 2008
Out-of-sample extrapolation of learned manifoldsTat-Jun Chin, David Suter
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 6, 2007
Incremental kernel principal component analysisTat-Jun Chin, David Suter
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 15, 2017
Coresets for TriangulationQianggong Zhang, Tat-Jun Chin
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 11, 2018
Guaranteed Outlier Removal for Point Cloud Registration with CorrespondencesAlvaro Parra Bustos, Tat-Jun Chin
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 17, 2011
Accelerated hypothesis generation for multistructure data via preference analysisTat-Jun Chin, Jin Yu, David Suter
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 9, 2011
Simultaneously fitting and segmenting multiple-structure data with outliersHanzi Wang, Tat-Jun Chin, David Suter
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 29, 2019
Rotation Averaging with the Chordal Distance: Global Minimizers and Strong DualityAnders Eriksson, Carl Olsson, Fredrik Kahl, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 29, 2016
Efficient Globally Optimal Consensus Maximisation with Tree SearchTat-Jun Chin, Pulak Purkait, Anders Eriksson, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 24, 2017
Clustering with Hypergraphs: The Case for Large HyperedgesPulak Purkait, Tat-Jun Chin, Alireza Sadri, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 15, 2014
Interacting geometric priors for robust multimodel fittingTrung Thanh Pham, Tat-Jun Chin, Konrad Schindler, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 12, 2008
Out-of-sample extrapolation of learned manifoldsTat-Jun Chin, David Suter
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 6, 2007
Incremental kernel principal component analysisTat-Jun Chin, David Suter
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 15, 2017
Coresets for TriangulationQianggong Zhang, Tat-Jun Chin
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 11, 2018
Guaranteed Outlier Removal for Point Cloud Registration with CorrespondencesAlvaro Parra Bustos, Tat-Jun Chin
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 17, 2011
Accelerated hypothesis generation for multistructure data via preference analysisTat-Jun Chin, Jin Yu, David Suter
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 9, 2011
Simultaneously fitting and segmenting multiple-structure data with outliersHanzi Wang, Tat-Jun Chin, David Suter
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 29, 2019
Rotation Averaging with the Chordal Distance: Global Minimizers and Strong DualityAnders Eriksson, Carl Olsson, Fredrik Kahl, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 29, 2016
Efficient Globally Optimal Consensus Maximisation with Tree SearchTat-Jun Chin, Pulak Purkait, Anders Eriksson, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 24, 2017
Clustering with Hypergraphs: The Case for Large HyperedgesPulak Purkait, Tat-Jun Chin, Alireza Sadri, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 15, 2014
Interacting geometric priors for robust multimodel fittingTrung Thanh Pham, Tat-Jun Chin, Konrad Schindler, et al.
Pageof 2