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SIBGRAPI
2005
IEEE
14 years 1 months ago
Component-Based Adaptive Sampling
High-fidelity renderings of virtual environments is a notoriously computationally expensive task. One commonly used method to alleviate the costs is to adaptively sample the rend...
Kurt Debattista, Alan Chalmers
PODS
2000
ACM
146views Database» more  PODS 2000»
13 years 12 months ago
Analysis and Application of Adaptive Sampling
An estimation algorithm for a query is a probabilistic algorithm that computes an approximation for the size (number of tuples) of the query. One class of estimation algorithms us...
James F. Lynch
PAKDD
2005
ACM
114views Data Mining» more  PAKDD 2005»
14 years 1 months ago
Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data
The availability of microarray data has enabled several studies on the application of aggregated classifiers for molecular classification. We present a combination of classifier ag...
Chia Huey Ooi, Madhu Chetty
SAC
2008
ACM
13 years 7 months ago
Adaptive importance sampling in general mixture classes
In this paper, we propose an adaptive algorithm that iteratively updates both the weights and component parameters of a mixture importance sampling density so as to optimise the p...
Olivier Cappé, Randal Douc, Arnaud Guillin,...
CVPR
2010
IEEE
14 years 26 days ago
Adaptive Generic Learning for Face Recognition from a Single Sample per Person
Real-world face recognition systems often have to face the single sample per person (SSPP) problem, that is, only a single training sample for each person is enrolled in the datab...
Yu Su, Shiguang Shan, Xilin Chen, wen Gao