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ICASSP
2011
IEEE
14 years 1 months ago
Acceleration of adaptive proximal forward-backward splitting method and its application to sparse system identification
In this paper, we propose an acceleration technique of the adaptive filtering scheme called adaptive proximal forward-backward splitting method. For accelerating the convergence ...
Masao Yamagishi, Masahiro Yukawa, Isao Yamada
AAAI
2006
14 years 11 months ago
Thresholding for Making Classifiers Cost-sensitive
In this paper we propose a very simple, yet general and effective method to make any cost-insensitive classifiers (that can produce probability estimates) cost-sensitive. The meth...
Victor S. Sheng, Charles X. Ling
ICASSP
2009
IEEE
15 years 4 months ago
A nonparametric test for stationarity based on local Fourier analysis
In this paper we propose a nonparametric hypothesis test for stationarity based on local Fourier analysis. We employ a test statistic that measures the variation of time-localized...
Prabahan Basu, Daniel Rudoy, Patrick J. Wolfe
DGCI
2008
Springer
14 years 11 months ago
Selection of Local Thresholds for Tomogram Segmentation by Projection Distance Minimization
Abstract. Segmentation is an important step to obtain quantitative information from tomographic data sets. To this end, global thresholding is often used in practice. However, it i...
Kees Joost Batenburg, Jan Sijbers
AICT
2006
IEEE
129views Communications» more  AICT 2006»
15 years 1 months ago
Stochastic Thresholding: An approach to Estimator Optimization via Fisher Information Maximization
In stochastic thresholding, the threshold for quantization of a signal is randomized. An estimator based on quantized signal data can be optimized through stochastic thresholding. ...
Samudra Dasgupta