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» Learning Statistical Structure for Object Detection
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IROS
2007
IEEE
144views Robotics» more  IROS 2007»
14 years 1 months ago
Global action selection for illumination invariant color modeling
— A major challenge in the path of widespread use of mobile robots is the ability to function autonomously, learning useful features from the environment and using them to adapt ...
Mohan Sridharan, Peter Stone
NDSS
1999
IEEE
13 years 11 months ago
PGRIP: PNNI Global Routing Infrastructure Protection
We describe a system for achieving PNNI (Private Network-Network Interface) Global Routing Infrastructure Protection (PGRIP). We give details of PGRIP's system-level design a...
Sabrina De Capitani di Vimercati, Patrick Lincoln,...
ISSRE
2010
IEEE
13 years 6 months ago
DoDOM: Leveraging DOM Invariants for Web 2.0 Application Robustness Testing
—Web 2.0 applications are increasing in popularity. However, they are also prone to errors because of their dynamic nature. This paper presents DoDOM, an automated system for tes...
Karthik Pattabiraman, Benjamin G. Zorn
TROB
2002
244views more  TROB 2002»
13 years 7 months ago
Distributed surveillance and reconnaissance using multiple autonomous ATVs: CyberScout
The objective of the CyberScout project is to develop an autonomous surveillance and reconnaissance system using a network of all-terrain vehicles. In this paper, we focus on two f...
Mahesh Saptharishi, C. Spence Oliver, Christopher ...
NIPS
2001
13 years 9 months ago
Unsupervised Learning of Human Motion Models
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Yang Song, Luis Goncalves, Pietro Perona