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» Learning from examples in unstructured, outdoor environments
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BC
2004
114views more  BC 2004»
13 years 8 months ago
The world from a cat's perspective - statistics of natural videos
The mammalian visual system is one of the most intensively investigated sensory systems. However, our knowledge of the typical input it is operating on is surprisingly limited. To ...
Belinda Y. Betsch, Wolfgang Einhäuser, Konrad...
ICCV
2007
IEEE
14 years 10 months ago
Learning 3-D Scene Structure from a Single Still Image
We consider the problem of estimating detailed 3-d structure from a single still image of an unstructured environment. Our goal is to create 3-d models which are both quantitative...
Ashutosh Saxena, Min Sun, Andrew Y. Ng
JFR
2006
140views more  JFR 2006»
13 years 8 months ago
Improving robot navigation through self-supervised online learning
In mobile robotics, there are often features that, while potentially powerful for improving navigation, prove difficult to profit from as they generalize poorly to novel situations...
Boris Sofman, Ellie Lin, J. Andrew Bagnell, John C...
ICML
2010
IEEE
13 years 6 months ago
Approximate Predictive Representations of Partially Observable Systems
We provide a novel view of learning an approximate model of a partially observable environment from data and present a simple implemenf the idea. The learned model abstracts away ...
Monica Dinculescu, Doina Precup
ICRA
2010
IEEE
220views Robotics» more  ICRA 2010»
13 years 5 months ago
General object tracking with a component-based target descriptor
In this paper, we present a component-based visual object tracker for mobile platforms. The core of the technique is a component-based descriptor that captures the structure and ap...
Simone Frintrop