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» The Dark Side of Object Learning: Learning Objects
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COLT
2010
Springer
13 years 7 months ago
Composite Objective Mirror Descent
We present a new method for regularized convex optimization and analyze it under both online and stochastic optimization settings. In addition to unifying previously known firstor...
John Duchi, Shai Shalev-Shwartz, Yoram Singer, Amb...
ECTEL
2007
Springer
14 years 3 months ago
From Informal Learner to Active Content Provider: SLEAM Approach
Creation of the reusable learning content in the process of work is a challenging but promising trend in e-learning and knowledge management. While the main research focus nowadays...
Oleg Rostanin, Markus Ludwar
COGSCI
2010
85views more  COGSCI 2010»
13 years 9 months ago
The Effects of Feature-Label-Order and Their Implications for Symbolic Learning
Symbols enable people to organize and communicate about the world. However, the ways in which symbolic knowledge is learned and then represented in the mind are poorly understood....
Michael Ramscar, Daniel Yarlett, Melody Dye, Katie...
ICVS
2009
Springer
14 years 3 months ago
Incremental Video Event Learning
We propose a new approach for video event learning. The only hypothesis is the availability of tracked object attributes. The approach incrementally aggregates the attributes and r...
Marcos Zúñiga, François Br&ea...
ECCV
2000
Springer
14 years 11 months ago
Unsupervised Learning of Models for Recognition
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Markus Weber, Max Welling, Pietro Perona