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ICCV
2003
IEEE
15 years 11 months ago
Automatically Labeling Video Data Using Multi-class Active Learning
Labeling video data is an essential prerequisite for many vision applications that depend on training data, such as visual information retrieval, object recognition, and human act...
Rong Yan, Jie Yang, Alexander G. Hauptmann
ICRA
2005
IEEE
146views Robotics» more  ICRA 2005»
15 years 3 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...
ECCV
2000
Springer
15 years 11 months ago
Unsupervised Learning of Models for Recognition
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Markus Weber, Max Welling, Pietro Perona
VISUALIZATION
2003
IEEE
15 years 2 months ago
Using Deformations for Browsing Volumetric Data
Many traditional techniques for “looking inside” volumetric data involve removing portions of the data, for example using various cutting tools, to reveal the interior. This a...
Michael J. McGuffin, Liviu Tancau, Ravin Balakrish...
ICCV
1999
IEEE
15 years 11 months ago
Measuring Convexity for Figure/Ground Separation
In human perception, convex surfaces have a strong tendency to be perceived as the "figure". Convexity has a stronger influence on figural organization than other global...
Hsing-Kuo Pao, Davi Geiger, Nava Rubin