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» Object Categorization by Learned Universal Visual Dictionary
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AAAI
2006
13 years 9 months ago
Active Learning with Near Misses
Assume that we are trying to build a visual recognizer for a particular class of objects--chairs, for example--using existing induction methods. Assume the assistance of a human t...
Nela Gurevich, Shaul Markovitch, Ehud Rivlin
ICRA
2002
IEEE
148views Robotics» more  ICRA 2002»
14 years 13 days ago
A Neural Approach to Adaptive Behavior and Multi-Sensor Action Selection in a Mobile Device
Sampling multisensory information and taking the appropriate motor action is critical for a biological organism’s survival, but a difficult task for robots. We present a Neurally...
Jeffrey L. Krichmar, James A. Snook
CVPR
2010
IEEE
14 years 4 months ago
Reading Between The Lines: Object Localization Using Implicit Cues from Image Tags
Current uses of tagged images typically exploit only the most explicit information: the link between the nouns named and the objects present somewhere in the image. We propose to ...
Sung Ju Hwang, University of Texas, Kristen Grauma...
ICRA
2005
IEEE
134views Robotics» more  ICRA 2005»
14 years 1 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...
TIP
2008
287views more  TIP 2008»
13 years 7 months ago
3-D Object Recognition Using 2-D Views
We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize...
Wenjing Li, George Bebis, Nikolaos G. Bourbakis