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» Model Selection and Error Estimation
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89
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DATAMINE
2006
127views more  DATAMINE 2006»
15 years 21 days ago
Computing LTS Regression for Large Data Sets
Least trimmed squares (LTS) regression is based on the subset of h cases (out of n) whose least squares t possesses the smallest sum of squared residuals. The coverage h may be se...
Peter Rousseeuw, Katrien van Driessen
JFR
2008
103views more  JFR 2008»
15 years 19 days ago
Monte Carlo localization in outdoor terrains using multilevel surface maps
We propose a novel combination of techniques for robustly estimating the position of a mobile robot in outdoor environments using range data. Our approach applies a particle filte...
Rainer Kümmerle, Rudolph Triebel, Patrick Pfa...
106
Voted
QRE
2008
140views more  QRE 2008»
15 years 4 days ago
Discrete mixtures of kernels for Kriging-based optimization
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
David Ginsbourger, Céline Helbert, Laurent ...
95
Voted
CASES
2009
ACM
15 years 7 months ago
Tight WCRT analysis of synchronous C programs
Accurate estimation of the tick length of a synchronous program is essential for efficient and predictable implementations that are devoid of timing faults. The techniques to dete...
Partha S. Roop, Sidharta Andalam, Reinhard von Han...
94
Voted
CLEAR
2007
Springer
166views Biometrics» more  CLEAR 2007»
15 years 6 months ago
The IBM Rich Transcription 2007 Speech-to-Text Systems for Lecture Meetings
The paper describes the IBM systems submitted to the NIST Rich Transcription 2007 (RT07) evaluation campaign for the speechto-text (STT) and speaker-attributed speech-to-text (SAST...
Jing Huang, Etienne Marcheret, Karthik Visweswaria...