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CGO
2003
IEEE
14 years 28 days ago
Dynamic Trace Selection Using Performance Monitoring Hardware Sampling
Optimizing programs at run-time provides opportunities to apply aggressive optimizations to programs based on information that was not available at compile time. At run time, prog...
Howard Chen, Wei-Chung Hsu, Dong-yuan Chen
CGF
2008
227views more  CGF 2008»
13 years 7 months ago
Dynamic Sampling and Rendering of Algebraic Point Set Surfaces
Algebraic Point Set Surfaces (APSS) define a smooth surface from a set of points using local moving least-squares (MLS) fitting of algebraic spheres. In this paper we first revisi...
Gaël Guennebaud, Marcel Germann, Markus H. Gr...
ICIP
2006
IEEE
14 years 9 months ago
Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
WSC
2004
13 years 9 months ago
Adaptive Control Variates
Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...
Sujin Kim, Shane G. Henderson
SDM
2008
SIAM
134views Data Mining» more  SDM 2008»
13 years 9 months ago
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen...