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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 1 months 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
DCOSS
2008
Springer
13 years 9 months ago
An Adaptive and Autonomous Sensor Sampling Frequency Control Scheme for Energy-Efficient Data Acquisition in Wireless Sensor Net
Abstract. Wireless sensor networks are increasingly being used in environmental monitoring applications. Collecting raw data from these networks can lead to excessive energy consum...
Supriyo Chatterjea, Paul J. M. Havinga
APVIS
2007
13 years 9 months ago
Adaptive sampling in three dimensions for volume rendering on GPUs
Direct volume rendering of large volumetric data sets on programmable graphics hardware is often limited by the amount of available graphics memory and the bandwidth from main mem...
Martin Kraus, Magnus Strengert, Thomas Klein, Thom...