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NN
2010
Springer
183views Neural Networks» more  NN 2010»
13 years 6 months ago
Dimensionality reduction for density ratio estimation in high-dimensional spaces
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
Masashi Sugiyama, Motoaki Kawanabe, Pui Ling Chui
ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
14 years 2 months ago
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Georgios Petkos, Sethu Vijayakumar
ICIP
1994
IEEE
14 years 9 months ago
Robust B-Spline Image Smoothing
In this work we present a new approach to two - dimensional robust spline smoothing. The proposed method is based on M-estimator algorithms but unlike in other M-estimator based i...
Marta Karczewicz, Moncef Gabbouj, Jaakko Astola
CIKM
2005
Springer
14 years 1 months ago
Towards estimating the number of distinct value combinations for a set of attributes
Accurately and efficiently estimating the number of distinct values for some attribute(s) or sets of attributes in a data set is of critical importance to many database operation...
Xiaohui Yu, Calisto Zuzarte, Kenneth C. Sevcik
BMCBI
2006
223views more  BMCBI 2006»
13 years 7 months ago
PSMIX: an R package for population structure inference via maximum likelihood method
Background: Inference of population stratification and individual admixture from genetic markers is an integrative part of a study in diverse situations, such as association mappi...
Baolin Wu, Nianjun Liu, Hongyu Zhao