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» Estimating the Robustness of Discovered Knowledge
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CVPR
2011
IEEE
13 years 4 months ago
Learning to Recognize Objects in Egocentric Activities
This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...
Alireza Fathi, Xiaofeng Ren, James Rehg
NIPS
2004
13 years 9 months ago
Sampling Methods for Unsupervised Learning
We present an algorithm to overcome the local maxima problem in estimating the parameters of mixture models. It combines existing approaches from both EM and a robust fitting algo...
Robert Fergus, Andrew Zisserman, Pietro Perona
ACCV
2007
Springer
14 years 1 months ago
Information Fusion for Multi-camera and Multi-body Structure and Motion
Information fusion algorithms have been successful in many vision tasks such as stereo, motion estimation, registration and robot localization. Stereo and motion image analysis are...
Alexander Andreopoulos, John K. Tsotsos
ICCV
2005
IEEE
14 years 9 months ago
Consistent Surface Color for Texturing Large Objects in Outdoor Scenes
Color appearance of an object is significantly influenced by the color of the illumination. When the illumination color changes, the color appearance of the object will change acc...
Rei Kawakami, Katsushi Ikeuchi, Robby T. Tan
ICIP
2007
IEEE
14 years 9 months ago
Mining Auxiliary Objects for Tracking by Multibody Grouping
On-line discovery of some auxiliary objects to verify the tracking results is a novel approach to achieving robust tracking by balancing the need for strong verification and compu...
Ming Yang, Ying Wu, Shihong Lao