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» Active Structured Learning for High-Speed Object Detection
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ICCV
2009
IEEE
16 years 2 months ago
A Theory of Active Object Localization
We present some theoretical results related to the problem of actively searching for a target in a 3D environment, under the constraint of a maximum search time. We define the o...
Alexander Andreopoulos, John K. Tsotsos
ICML
2006
IEEE
15 years 10 months ago
Active sampling for detecting irrelevant features
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo...
AROBOTS
1998
130views more  AROBOTS 1998»
14 years 9 months ago
Rough Terrain Autonomous Mobility-Part 2: An Active Vision, Predictive Control Approach
Off-road autonomous navigation is one of the most difficult automation challenges from the point of view of constraints on mobility, speed of motion, lack of environmental structur...
Alonzo Kelly, Anthony Stentz
CVPR
2008
IEEE
15 years 11 months ago
A hierarchical and contextual model for aerial image understanding
In this paper we present a novel method for parsing aerial images with a hierarchical and contextual model learned in a statistical framework. We learn hierarchies at the scene an...
Jake Porway, Kristy Wang, Benjamin Yao, Song Chun ...
ICCV
2005
IEEE
15 years 3 months ago
Learning Hierarchical Models of Scenes, Objects, and Parts
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
Erik B. Sudderth, Antonio B. Torralba, William T. ...