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» Experiments with a New Boosting Algorithm
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CORR
2002
Springer
92views Education» more  CORR 2002»
15 years 4 months ago
When to Update the sequential patterns of stream data?
In this paper, we first define a difference measure between the old and new sequential patterns of stream data, which is proved to be a distance. Then we propose an experimental me...
Qingguo Zheng, Ke Xu, Shilong Ma
NECO
1998
119views more  NECO 1998»
15 years 3 months ago
Density Estimation by Mixture Models with Smoothing Priors
In the statistical approach for self-organizing maps (SOMs), learning is regarded as an estimation algorithm for a Gaussian mixture model with a Gaussian smoothing prior on the ce...
Akio Utsugi
ISVC
2010
Springer
15 years 2 months ago
Symmetry Enhanced Adaboost
This paper describes a method to minimize the immense training time of the conventional Adaboost learning algorithm in object detection by reducing the sampling area. A new algorit...
Florian Baumann, Katharina Ernst, Arne Ehlers, Bod...
NA
2010
117views more  NA 2010»
15 years 2 months ago
A fast solver for linear systems with displacement structure
We describe a fast solver for linear systems with reconstructible Cauchylike structure, which requires O(rn2 ) floating point operations and O(rn) memory locations, where n is th...
Antonio Arico, Giuseppe Rodriguez
TIP
2010
128views more  TIP 2010»
15 years 2 months ago
Variational Bayesian Image Restoration With a Product of Spatially Weighted Total Variation Image Priors
—In this paper a new image prior is introduced and used in image restoration. This prior is based on products of spatially weighted Total Variations (TV). These spatial weights p...
Giannis K. Chantas, Nikolas P. Galatsanos, Rafael ...