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ICML
2009
IEEE
16 years 2 months ago
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...
CHI
2009
ACM
16 years 2 months ago
The VoiceBot: a voice controlled robot arm
We present a system whereby the human voice may specify continuous control signals to manipulate a simulated 2D robotic arm and a real 3D robotic arm. Our goal is to move towards ...
Brandi House, Jonathan Malkin, Jeff Bilmes
CHI
2008
ACM
16 years 1 months ago
Human-aided computing: utilizing implicit human processing to classify images
In this paper, we present Human-Aided Computing, an approach that uses an electroencephalograph (EEG) device to measure the presence and outcomes of implicit cognitive processing,...
Pradeep Shenoy, Desney S. Tan
IROS
2009
IEEE
201views Robotics» more  IROS 2009»
15 years 8 months ago
Modeling tool-body assimilation using second-order Recurrent Neural Network
— Tool-body assimilation is one of the intelligent human abilities. Through trial and experience, humans are capable of using tools as if they are part of their own bodies. This ...
Shun Nishide, Tatsuhiro Nakagawa, Tetsuya Ogata, J...
PKDD
2009
Springer
174views Data Mining» more  PKDD 2009»
15 years 8 months ago
Active and Semi-supervised Data Domain Description
Data domain description techniques aim at deriving concise descriptions of objects belonging to a category of interest. For instance, the support vector domain description (SVDD) l...
Nico Görnitz, Marius Kloft, Ulf Brefeld