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» Entropy-based Adaptive Sampling
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RT
2005
Springer
14 years 1 months ago
Adaptive Frameless Rendering
We propose an adaptive form of frameless rendering with the potential to dramatically increase rendering speed over conventional interactive rendering approaches. Without the rigi...
Abhinav Dayal, Cliff Woolley, Benjamin Watson, Dav...
SDM
2012
SIAM
322views Data Mining» more  SDM 2012»
11 years 10 months ago
Adaptive Multi-task Sparse Learning with an Application to fMRI Study
In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbo...
ICDM
2007
IEEE
187views Data Mining» more  ICDM 2007»
14 years 1 months ago
A Comparative Study of Methods for Transductive Transfer Learning
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
CG
2005
Springer
13 years 7 months ago
A hierarchical sampling approach for polygonizing variational implicit surfaces
This article discusses an enhanced polygonization algorithm for variational implicit surfaces. The polygonization scheme is a simple hierarchical adaptation of the Marching Cubes ...
Alvaro Cuno, Claudio Esperança, Antonio A. ...
SIGMOD
2004
ACM
118views Database» more  SIGMOD 2004»
14 years 7 months ago
Effective Use of Block-Level Sampling in Statistics Estimation
Block-level sampling is far more efficient than true uniform-random sampling over a large database, but prone to significant errors if used to create database statistics. In this ...
Surajit Chaudhuri, Gautam Das, Utkarsh Srivastava