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» Visual Object Recognition Through One-Class Learning
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IJCV
2011
264views more  IJCV 2011»
14 years 9 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
ICRA
2005
IEEE
134views Robotics» more  ICRA 2005»
15 years 7 months ago
Robust Object Detection at Regions of Interest with an Application in Ball Recognition
— In this paper, we present a new combination of a biologically inspired attention system (VOCUS – Visual Object detection with a CompUtational attention System) with a robust ...
Sara Mitri, Simone Frintrop, Kai Pervölz, Har...
106
Voted
PAMI
2006
185views more  PAMI 2006»
15 years 1 months ago
Generic Object Recognition with Boosting
This paper explores the power and the limitations of weakly supervised categorization. We present a complete framework that starts with the extraction of various local regions of e...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...
HRI
2006
ACM
15 years 7 months ago
Structural descriptions in human-assisted robot visual learning
The paper presents an approach to using structural descriptions, obtained through a human-robot tutoring dialogue, as labels for the visual object models a robot learns. The paper...
Geert-Jan M. Kruijff, John D. Kelleher, Gregor Ber...
95
Voted
CORR
2008
Springer
170views Education» more  CORR 2008»
15 years 2 months ago
Fast Wavelet-Based Visual Classification
We investigate a biologically motivated approach to fast visual classification, directly inspired by the recent work [13]. Specifically, trading-off biological accuracy for comput...
Guoshen Yu, Jean-Jacques E. Slotine