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» Machine Learning, Machine Vision, and the Brain
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ICRA
2005
IEEE
146views Robotics» more  ICRA 2005»
15 years 9 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...
148
Voted
MM
2004
ACM
170views Multimedia» more  MM 2004»
15 years 9 months ago
Effective automatic image annotation via a coherent language model and active learning
Image annotations allow users to access a large image database with textual queries. There have been several studies on automatic image annotation utilizing machine learning techn...
Rong Jin, Joyce Y. Chai, Luo Si
CORR
2012
Springer
170views Education» more  CORR 2012»
13 years 11 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
139
Voted
ICCV
2009
IEEE
16 years 9 months ago
Efficient subset selection based on the Renyi entropy
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed t...
Vlad I. Morariu1, Balaji V. Srinivasan, Vikas C. R...
152
Voted
ICCV
2007
IEEE
15 years 10 months ago
Drowsy Driver Detection Through Facial Movement Analysis
The advance of computing technology has provided the means for building intelligent vehicle systems. Drowsy driver detection system is one of the potential applications of intellig...
Esra Vural, Müjdat Çetin, Aytül E...