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CSDA
2008
94views more  CSDA 2008»
15 years 5 months ago
Robust model selection using fast and robust bootstrap
Robust model selection procedures control the undue influence that outliers can have on the selection criteria by using both robust point estimators and a bounded loss function wh...
Matias Salibian-Barrera, Stefan Van Aelst
MA
2010
Springer
132views Communications» more  MA 2010»
15 years 4 months ago
Model selection by sequentially normalized least squares
Model selection by the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estima...
Jorma Rissanen, Teemu Roos, Petri Myllymäki
OSDI
2002
ACM
16 years 5 months ago
Using Model Checking to Debug Device Firmware
Device firmware is a piece of concurrent software that achieves high performance at the cost of software complexity. They contain subtle race conditions that make them difficult t...
Sanjeev Kumar, Kai Li
ICCV
2009
IEEE
16 years 10 months ago
Efficient Discriminative Learning of Parts-based Models
Supervised learning of a parts-based model can be for- mulated as an optimization problem with a large (exponen- tial in the number of parts) set of constraints. We show how thi...
M. Pawan Kumar, Andrew Zisserman, Philip H.S. Torr
ECCV
2006
Springer
16 years 7 months ago
Modeling 3D Objects from Stereo Views and Recognizing Them in Photographs
Local appearance models in the neighborhood of salient image features, together with local and/or global geometric constraints, serve as the basis for several recent and effective...
Akash Kushal, Jean Ponce