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PAKDD
2009
ACM
151views Data Mining» more  PAKDD 2009»
16 years 1 months ago
Budget Semi-supervised Learning
In this paper we propose to study budget semi-supervised learning, i.e., semi-supervised learning with a resource budget, such as a limited memory insufficient to accommodate and/...
Zhi-Hua Zhou, Michael Ng, Qiao-Qiao She, Yuan Jian...
ICIP
2010
IEEE
15 years 4 months ago
Spiral FFT: An efficient method for 3-D FFTS on spiral MRI contours
The Fast Fourier Transform (FFT) allows the Discrete Time Fourier Transform (DTFT) to be efficiently sampled on a uniform grid in frequency. In many applications, including Magnet...
Christopher K. Turnes, Justin K. Romberg
HAIS
2011
Springer
14 years 10 months ago
Evolving Temporal Fuzzy Association Rules from Quantitative Data with a Multi-Objective Evolutionary Algorithm
A novel method for mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is presented. This method successfully identifie...
Stephen G. Matthews, Mario A. Góngora, Adri...
SIGPRO
2002
160views more  SIGPRO 2002»
15 years 6 months ago
New multiscale transforms, minimum total variation synthesis: applications to edge-preserving image reconstruction
This paper describes newly invented multiscale transforms known under the name of the ridgelet [6] and the curvelet transforms [9, 8]. These systems combine ideas of multiscale an...
Emmanuel J. Candès, Franck Guo
196
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KDD
2000
ACM
153views Data Mining» more  KDD 2000»
15 years 10 months ago
The generalized Bayesian committee machine
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Volker Tresp