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» The Dark Side of Object Learning: Learning Objects
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122
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ADMA
2006
Springer
167views Data Mining» more  ADMA 2006»
15 years 9 months ago
A Correlation Approach for Automatic Image Annotation
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learnin...
David R. Hardoon, Craig Saunders, Sándor Sz...
132
Voted
ICPR
2010
IEEE
15 years 9 months ago
On-Line Random Naive Bayes for Tracking
—Randomized learning methods (i.e., Forests or Ferns) have shown excellent capabilities for various computer vision applications. However, it was shown that the tree structure in...
Martin Godec, Christian Leistner, Amir Saffari, Ho...
147
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HICSS
2005
IEEE
138views Biometrics» more  HICSS 2005»
15 years 9 months ago
Exploring the Variation in Student Project Team Knowledge Integration Competency
Organizations are increasingly using cross-functional project teams to increase flexibility. The belief is that individuals will be able to share and combine their different knowl...
Sue Newell, Susan Adams, Marcy Crary, Priscilla Gl...
145
Voted
KCAP
2005
ACM
15 years 9 months ago
Towards Browsing Distant Metadata Using Semantic Signatures
In this document, we describe a light-weighted ontology mediation method that allows users to send semantic queries to distant data repositories to browse for learning object meta...
Andrew Choi, Marek Hatala
122
Voted
ECCV
2010
Springer
15 years 8 months ago
Stacked Hierarchical Labeling
In this work we propose a hierarchical approach for labeling semantic objects and regions in scenes. Our approach is reminiscent of early vision literature in that we use a decompo...