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» Uncertainty Reduction Using Dynamics
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130
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PODS
2008
ACM
159views Database» more  PODS 2008»
16 years 2 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
SAC
2010
ACM
15 years 2 months ago
Load forecasting applied to soft real-time web clusters
Dynamic configuration techniques such as DVFS (Dynamic Voltage and Frequency Scaling) and turning on/off computers are well known ways to promote energy consumption reduction in w...
Carlos Santana, Julius C. B. Leite, Daniel Moss&ea...
114
Voted
ICRA
2010
IEEE
259views Robotics» more  ICRA 2010»
15 years 13 days ago
RANSAC matching: Simultaneous registration and segmentation
The iterative closest points (ICP) algorithm is widely used for ego-motion estimation in robotics, but subject to bias in the presence of outliers. We propose a random sample conse...
Shao-Wen Yang, Chieh-Chih Wang, Chun-Hua Chang
IROS
2009
IEEE
138views Robotics» more  IROS 2009»
15 years 9 months ago
Using eigenposes for lossless periodic human motion imitation
— Programming a humanoid robot to perform an action that takes the robot’s complex dynamics into account is a challenging problem. Traditional approaches typically require high...
Rawichote Chalodhorn, Rajesh P. N. Rao
CORR
2011
Springer
259views Education» more  CORR 2011»
14 years 9 months ago
The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding vs. Dynamic Range
Compressive sensing (CS) exploits the sparsity present in many common signals to reduce the number of measurements needed for digital acquisition. With this reduction would come, ...
Mark A. Davenport, Jason N. Laska, John R. Treichl...