Coverage Optimized Active Learning for k − NN Classifiers
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dc.contributor.author | Joshi, Ajay J. | |
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dc.contributor.author | Porikli, Fatih | |
dc.contributor.author | Papanikolopoulos, Nikolaos | |
dc.coverage.spatial | Saint Paul USA | |
dc.date.accessioned | 2015-12-08T22:14:41Z | |
dc.date.created | May 14-18 2012 | |
dc.identifier.uri | http://hdl.handle.net/1885/30373 | |
dc.publisher | IEEE Robotics and Automation Society | |
dc.relation.ispartofseries | IEEE International Conference on Robotics and Automation 2012 | |
dc.subject | Keywords: Active Learning; Active-learning algorithm; Data points; K-nearest neighbors; k-NN classifier; Large datasets; Locality sensitive hashing; Maximum distance; Nearest neighbors; Orders of magnitude; Robotics applications; Submodular functions; Training budg | |
dc.title | Coverage Optimized Active Learning for k − NN Classifiers | |
dc.type | Conference paper | |
local.description.notes | Imported from ARIES | |
local.description.refereed | Yes | |
dc.date.issued | 2012 | |
local.identifier.absfor | 090602 - Control Systems, Robotics and Automation | |
local.identifier.ariespublication | u4628727xPUB73 | |
local.type.status | Published Version | |
local.contributor.affiliation | Joshi, Ajay J., University of Minnesota | |
local.contributor.affiliation | Porikli, Fatih, College of Engineering and Computer Science, ANU | |
local.contributor.affiliation | Papanikolopoulos, Nikolaos, University of Minnesota | |
local.description.embargo | 2037-12-31 | |
local.bibliographicCitation.startpage | 5353 | |
local.bibliographicCitation.lastpage | 5358 | |
local.identifier.doi | 10.1109/ICRA.2012.6225054 | |
local.identifier.absseo | 970109 - Expanding Knowledge in Engineering | |
dc.date.updated | 2016-06-14T09:06:52Z | |
local.identifier.scopusID | 2-s2.0-84864428377 | |
Collections | ANU Research Publications |
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