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» Analysis and Application of Adaptive Sampling
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TSP
2008
91views more  TSP 2008»
13 years 9 months ago
Nonlinear and Nonideal Sampling: Theory and Methods
We study a sampling setup where a continuous-time signal is mapped by a memoryless, invertible and nonlinear transformation, and then sampled in a nonideal manner. Such scenarios a...
Tsvi G. Dvorkind, Yonina C. Eldar, Ewa Matusiak
ATAL
2008
Springer
13 years 12 months ago
Adaptive multi-robot wide-area exploration and mapping
The exploration problem is a central issue in mobile robotics. A complete terrain coverage is not practical if the environment is large with only a few small hotspots. This paper ...
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
CAD
2006
Springer
13 years 10 months ago
Field modeling with sampled distances
Traditional mesh-based approaches to the modeling and analysis of physical fields within geometric models require some form of topological reconstruction and conversion in the mes...
Michael Freytag, Vadim Shapiro, Igor G. Tsukanov
CVPR
2007
IEEE
14 years 12 months ago
Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...
Pablo Arias, Gregory Randall, Guillermo Sapiro
CVPR
2008
IEEE
14 years 12 months ago
Learning coupled conditional random field for image decomposition with application on object categorization
This paper proposes a computational system of object categorization based on decomposition and adaptive fusion of visual information. A coupled Conditional Random Field is develop...
Xiaoxu Ma, W. Eric L. Grimson