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CORR
2010
Springer
134views Education» more  CORR 2010»
15 years 6 months ago
Incremental Sampling-based Algorithms for Optimal Motion Planning
During the last decade, incremental sampling-based motion planning algorithms, such as the Rapidly-exploring Random Trees (RRTs), have been shown to work well in practice and to po...
Sertac Karaman, Emilio Frazzoli
TPDS
2010
142views more  TPDS 2010»
15 years 4 months ago
Toward Optimal Network Fault Correction in Externally Managed Overlay Networks
—We consider an end-to-end approach of inferring probabilistic data-forwarding failures in an externally managed overlay network, where overlay nodes are independently operated b...
Patrick P. C. Lee, Vishal Misra, Dan Rubenstein
NI
2011
168views more  NI 2011»
14 years 9 months ago
Automated Reconstruction of Dendritic and Axonal Trees by Global Optimization with Geometric Priors
We present a novel probabilistic approach to fully automated delineation of tree structures in noisy 2D images and 3D image stacks. Unlike earlier methods that rely mostly on local...
Engin Türetken, Germán González...
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 8 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
ICCAD
2003
IEEE
120views Hardware» more  ICCAD 2003»
16 years 3 months ago
RTL Power Optimization with Gate-Level Accuracy
Traditional RTL power optimization techniques commit transformations at the RTL based on the estimation of area, delay and power. However, because of inadequate power and delay in...
Qi Wang, Sumit Roy