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» Multi-Resolution Learning for Knowledge Transfer
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VMV
2008
107views Visualization» more  VMV 2008»
13 years 8 months ago
Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
Erik Rodner, Joachim Denzler
ICRA
2005
IEEE
146views Robotics» more  ICRA 2005»
14 years 1 months ago
Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head
— Imitation is a powerful mechanism for transferring knowledge from an instructor to a na¨ıve observer, one that is deeply contingent on a state of shared attention between the...
Aaron P. Shon, David B. Grimes, Chris Baker, Matth...
ICML
1996
IEEE
13 years 11 months ago
Discovering Structure in Multiple Learning Tasks: The TC Algorithm
Recently, there has been an increased interest in "lifelong" machine learning methods, that transfer knowledge across multiple learning tasks. Such methods have repeated...
Sebastian Thrun, Joseph O'Sullivan
COSIT
2009
Springer
133views GIS» more  COSIT 2009»
14 years 2 months ago
SeaTouch: A Haptic and Auditory Maritime Environment for Non Visual Cognitive Mapping of Blind Sailors
Abstract. Navigating consists of coordinating egocentric and allocentric spatial frames of reference. Virtual environments have afforded researchers in the spatial community with ...
Mathieu Simonnet, Dan Jacobson, Stephane Vieillede...
IFIP
1994
Springer
13 years 11 months ago
From AI Technology Research to Applications
Focusing on examples of knowledge systems and machine learning, this paper illustrates the transfer of AI technology from science to real-world applications. Decades of AI researc...
Armin B. Cremers, Sebastian Thrun, Wolfram Burgard