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» The Dark Side of Object Learning: Learning Objects
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AAAI
2007
13 years 11 months ago
Continuous State POMDPs for Object Manipulation Tasks
My research focus is on using continuous state partially observable Markov decision processes (POMDPs) to perform object manipulation tasks using a robotic arm. During object mani...
Emma Brunskill
ICRA
2010
IEEE
104views Robotics» more  ICRA 2010»
13 years 7 months ago
Multi-camera object detection for robotics
— Robust object detection is a critical skill for robotic applications in complex environments like homes and offices. In this paper we propose a method for using multiple camer...
Adam Coates, Andrew Y. Ng
ICCV
2011
IEEE
12 years 9 months ago
Scene Recognition and Weakly Supervised Object Localization with Deformable Part-Based Models
Weakly supervised discovery of common visual structure in highly variable, cluttered images is a key problem in recognition. We address this problem using deformable part-based mo...
Megha Pandey, Svetlana Lazebnik
ICCV
2011
IEEE
12 years 9 months ago
Conditional Random Fields for Multi-Camera Object Detection
We formulate a model for multi-class object detection in a multi-camera environment. From our knowledge, this is the first time that this problem is addressed taken into account ...
Xavier Boix, Gemma Roig, Horesh Ben Shitrit, Pasca...
ICML
2007
IEEE
14 years 10 months ago
Exponentiated gradient algorithms for log-linear structured prediction
Conditional log-linear models are a commonly used method for structured prediction. Efficient learning of parameters in these models is therefore an important problem. This paper ...
Amir Globerson, Terry Koo, Xavier Carreras, Michae...