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ICRA
2002
IEEE
144views Robotics» more  ICRA 2002»
14 years 13 days ago
Sensing Nanonewton Level Forces by Visually Tracking Structural Deformations
When assembling MEMS devices or manipulating biological cells it is often beneficial to have information about the force that is being applied to these objects. This force informa...
Michael A. Greminger, Ge Yang, Bradley J. Nelson
AVI
2006
13 years 9 months ago
An integrated task-based framework for the design and evaluation of visualizations to support preferential choice
In previous work, we proposed ValueCharts, a set of visualizations and interactive techniques to support the inspection of linear models of preferences. We now identify the need t...
Jeanette Bautista, Giuseppe Carenini
NIPS
2007
13 years 9 months ago
Congruence between model and human attention reveals unique signatures of critical visual events
Current computational models of bottom-up and top-down components of attention are predictive of eye movements across a range of stimuli and of simple, fixed visual tasks (such a...
Robert J. Peters, Laurent Itti
ECCV
2010
Springer
13 years 8 months ago
Adapting Visual Category Models to New Domains
Abstract. Domain adaptation is an important emerging topic in computer vision. In this paper, we present one of the first studies of domain shift in the context of object recogniti...
Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darr...
ICML
2009
IEEE
14 years 8 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...