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151
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ICRA
2010
IEEE
164views Robotics» more  ICRA 2010»
15 years 1 months ago
Boundary detection based on supervised learning
— Detecting the boundaries of objects is a key step in separating foreground objects from the background, which is useful for robotics and computer vision applications, such as o...
Kiho Kwak, Daniel F. Huber, Jeongsook Chae, Takeo ...
IEEESP
2010
99views more  IEEESP 2010»
15 years 1 months ago
The Iterated Weakest Link
Abstract. We devise a model for security investment that reflects dynamic interaction between a defender, who faces uncertainty, and an attacker, who repeatedly targets the weakes...
Rainer Böhme, Tyler Moore
147
Voted
IJCV
2010
249views more  IJCV 2010»
15 years 1 months ago
A Computational Model of Multidimensional Shape
We develop a computational model of shape that extends existing Riemannian models of shape of curves to multidimensional objects of general topological type. We construct shape sp...
Xiuwen Liu, Yonggang Shi, Ivo D. Dinov, Washington...
IJRR
2010
162views more  IJRR 2010»
15 years 1 months ago
Planning under Uncertainty for Robotic Tasks with Mixed Observability
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun...
INFOCOM
2010
IEEE
15 years 1 months ago
Spatio-Temporal Fusion for Small-scale Primary Detection in Cognitive Radio Networks
Abstract—In cognitive radio networks (CRNs), detecting smallscale primary devices—such as wireless microphones (WMs)— is a challenging, but very important, problem that has n...
Alexander W. Min, Xinyu Zhang, Kang G. Shin
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