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» The Dark Side of Object Learning: Learning Objects
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CVPR
2003
IEEE
14 years 9 months ago
Object Class Recognition by Unsupervised Scale-Invariant Learning
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
Robert Fergus, Pietro Perona, Andrew Zisserman
CVPR
2011
IEEE
13 years 3 months ago
Learning to Share Visual Appearance for Multiclass Object Detection
We present a hierarchical classification model that allows rare objects to borrow statistical strength from related objects that have many training examples. Unlike many of the e...
Ruslan Salakhutdinov, Antonio Torralba, Josh Tenen...
ICWL
2007
Springer
14 years 1 months ago
Web-Based Logging of Classroom Teaching Activities for Blended Learning
Nowadays, eLearning has been adapted in all educational institutes, starting from kindergartens, primary schools, high schools, to the universities. Teachers are encouraged to use ...
Joseph Fong
ICCV
2005
IEEE
14 years 1 months ago
LOCUS: Learning Object Classes with Unsupervised Segmentation
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
John M. Winn, Nebojsa Jojic
ICRA
2009
IEEE
111views Robotics» more  ICRA 2009»
14 years 2 months ago
Interactive learning of the acoustic properties of household objects
— Human beings can perceive object properties such as size, weight, and material type based solely on the sounds that the objects make when an action is performed on them. In ord...
Jivko Sinapov, Mark Wiemer, Alexander Stoytchev