by dmunoz on July 5, 2010
Stacked Hierarchical Labeling
Daniel Munoz, J. Andrew Bagnell, Martial Hebert
To appear: ECCV 2010.
Preprint (pdf)
In this work we propose a hierarchical approach for labeling semantic objects and regions in scenes. Our approach is reminiscent of early vision literature in that we use a decomposition of the image in order to encode relational and [...]
by lairlab on June 20, 2010
Modeling Interaction via the Principle of Maximum Causal Entropy
ICML runner up for best student paper by Brian Ziebart, J. Andrew Bagnell, and Anind Dey.
@inproceedings{bziebart-maxcausalent,
author = {Brian D. Ziebart and J. Andrew Bagnell
and Anind K. Dey},
title = [...]
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December 30, 2009
PITTSBURGH—Researchers at Carnegie Mellon University’s National Robotics Engineering Center (NREC) have developed a plant-sorting machine that uses computer vision and machine learning to inspect and grade harvested strawberry plants and then mechanically sort them by quality – tasks that until now could only be done manually.
In a successful field test this fall, the machine classified [...]
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December 21, 2009
Tony Stentz points out:
The company “Neato” just went public with a product that competes with iRobot’s Roomba. Unlike the Roomba, which vacuums a room by driving mostly random patterns, the Neato robot uses a laser rangefinder to build a map of the floor layout, plan efficient coverage routes, and localize through registration. The [...]
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