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» Optimizing for parallelism and data locality
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90
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ICRA
2008
IEEE
114views Robotics» more  ICRA 2008»
15 years 7 months ago
Lazy localization using the Frozen-Time Smoother
— We present a new algorithm for solving the global localization problem called Frozen-Time Smoother (FTS). Time is ‘frozen’, in the sense that the belief always refers to th...
Andrea Censi, Gian Diego Tipaldi
113
Voted
HUC
2010
Springer
15 years 1 months ago
Accuracy characterization of cell tower localization
Cell tower triangulation is a popular technique for determining the location of a mobile device. However, cell tower triangulation methods require the knowledge of the actual loca...
Jie Yang, Alexander Varshavsky, Hongbo Liu, Yingyi...
98
Voted
TIP
2008
154views more  TIP 2008»
15 years 22 days ago
Adaptive Local Linear Regression With Application to Printer Color Management
Abstract--Local learning methods, such as local linear regression and nearest neighbor classifiers, base estimates on nearby training samples, neighbors. Usually, the number of nei...
Maya R. Gupta, Eric K. Garcia, E. Chin
107
Voted
BMCBI
2006
113views more  BMCBI 2006»
15 years 26 days ago
GibbsST: a Gibbs sampling method for motif discovery with enhanced resistance to local optima
Background: Computational discovery of transcription factor binding sites (TFBS) is a challenging but important problem of bioinformatics. In this study, improvement of a Gibbs sa...
Kazuhito Shida
98
Voted
RECOMB
2002
Springer
16 years 1 months ago
Probabilistic hierarchical clustering for biological data
Biological data, such as gene expression profiles or protein sequences, is often organized in a hierarchy of classes, where the instances assigned to "nearby" classes in...
Eran Segal, Daphne Koller