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» Using Inverse Resolution to Learn Relations from Experiments
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ICMLA
2009
14 years 7 months ago
Knowledge Transfer for Feature Generation in Document Classification
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
Jian Zhang, Shobhit S. Shakya
69
Voted
ECTEL
2009
Springer
14 years 7 months ago
Ontology Enrichment with Social Tags for eLearning
One of the objectives of this paper is to verify whether it is possible to extract meaningful related tags from a limited set of tagged resources and from resources tagged by only ...
Paola Monachesi, Thomas Markus, Eelco Mossel
IROS
2007
IEEE
138views Robotics» more  IROS 2007»
15 years 3 months ago
On-demand sharing of a high-resolution panorama video from networked robotic cameras
— Due to their flexibility in coverage and resolution, networked robotic cameras become more and more popular in applications such as natural observation, security surveillance,...
Ni Qin, Dezhen Song
96
Voted
CVPR
2012
IEEE
13 years 1 days ago
Modulation transfer function of patch-based stereo systems
A widely used technique to recover a 3D surface from photographs is patch-based (multi-view) stereo reconstruction. Current methods are able to reproduce fine surface details, th...
Ronny Klowsky, Arjan Kuijper, Michael Goesele
ACL
2009
14 years 7 months ago
Distant supervision for relation extraction without labeled data
Modern models of relation extraction for tasks like ACE are based on supervised learning of relations from small hand-labeled corpora. We investigate an alternative paradigm that ...
Mike Mintz, Steven Bills, Rion Snow, Daniel Jurafs...