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» The Two Faces of Active Learning
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89
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ECCV
2008
Springer
15 years 11 months ago
Locating Facial Features with an Extended Active Shape Model
We make some simple extensions to the Active Shape Model of Cootes et al. [4], and use it to locate features in frontal views of upright faces. We show on independent test data tha...
Stephen Milborrow, Fred Nicolls
90
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MICCAI
2002
Springer
15 years 10 months ago
Using an Endoscopic Solo Surgery Simulator for Quantitative Evaluation of Human-Machine Interface in Robotic Camera Positioning
Abstract. An endoscopic solo surgery simulator was designed to quantitatively evaluate human-machine interface in robotic camera positioning systems. Our simulator can assess not o...
Atsushi Nishikawa, Daiji Negoro, Haruhiko Kakutani...
FLAIRS
2006
14 years 11 months ago
Using Active Relocation to Aid Reinforcement Learning
We propose a new framework for aiding a reinforcement learner by allowing it to relocate, or move, to a state it selects so as to decrease the number of steps it needs to take in ...
Lilyana Mihalkova, Raymond J. Mooney
PUC
2006
128views more  PUC 2006»
14 years 9 months ago
A cube to learn: a tangible user interface for the design of a learning appliance
In this paper we introduce the design and development of the Learning Cube as a novel tangible learning appliance. Using the common shape of a cube we implemented a general learnin...
Lucia Terrenghi, Matthias Kranz, Paul Holleis, Alb...
ICPR
2004
IEEE
15 years 10 months ago
Selecting Models from Videos for Appearance-Based Face Recognition
In this paper, we propose an unsupervised approach to select representative face samples (models) from raw videos and build an appearance-based face recognition system. The approa...
Abdenour Hadid, Matti Pietikäinen