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ICUMT
2009
13 years 2 months ago
sDLS - Distributed Least Squares localization for large Wireless Sensor Networks
Wireless Sensor Networks (WSNs) have been of high interest during the past couple of years. One of the most important aspect of WSN research is location estimation. As a good solut...
Ralf Behnke, Jakob Salzmann, Dominik Lieckfeldt, D...
NN
2010
Springer
189views Neural Networks» more  NN 2010»
12 years 11 months ago
Sparse kernel learning with LASSO and Bayesian inference algorithm
Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
Junbin Gao, Paul W. Kwan, Daming Shi
NECO
2011
12 years 11 months ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli
CG
2004
Springer
13 years 4 months ago
Point cloud surfaces using geometric proximity graphs
We present a new definition of an implicit surface over a noisy point cloud, based on the weighted least squares approach. It can be evaluated very fast, but artifacts are signifi...
Jan Klein, Gabriel Zachmann
CNSR
2008
IEEE
136views Communications» more  CNSR 2008»
13 years 11 months ago
Using QR-Updating with Reduced Complexity for Precise Localization in Mobile Sensor Networks
Localizing tiny sensor nodes in large wireless sensor networks is extremely complex, due to the node’s strict resource limitations regarding memory size, processor performance a...
Frank Reichenbach, Dominik Lieckfeldt, Dirk Timmer...