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ICASSP
2010
IEEE
15 years 6 months ago
Robust regression using sparse learning for high dimensional parameter estimation problems
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
ANOR
2007
73views more  ANOR 2007»
15 years 6 months ago
A sample-path approach to optimal position liquidation
We consider the problem of optimal position liquidation with the aim of maximizing the expected cash flow stream from the transaction in the presence of temporary or permanent ma...
Pavlo A. Krokhmal, Stan Uryasev
CGF
2008
137views more  CGF 2008»
15 years 6 months ago
Exploiting Visibility Correlation in Direct Illumination
The visibility function in direct illumination describes the binary visibility over a light source, e.g., an environment map. Intuitively, the visibility is often strongly correla...
Petrik Clarberg, Tomas Akenine-Möller
CGF
2008
135views more  CGF 2008»
15 years 6 months ago
Streaming Surface Reconstruction Using Wavelets
We present a streaming method for reconstructing surfaces from large data sets generated by a laser range scanner using wavelets. Wavelets provide a localized, multiresolution rep...
Josiah Manson, G. Petrova, Scott Schaefer
COGSCI
2008
74views more  COGSCI 2008»
15 years 6 months ago
Optimal Predictions in Everyday Cognition: The Wisdom of Individuals or Crowds?
Griffiths and Tenenbaum (2006) asked individuals to make predictions about the duration or extent of everyday events (e.g., cake baking times), and reported that predictions were ...
Michael C. Mozer, Harold Pashler, Hadjar Homaei