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NECO
2011
13 years 12 days ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli
GFKL
2004
Springer
137views Data Mining» more  GFKL 2004»
13 years 10 months ago
Density Estimation and Visualization for Data Containing Clusters of Unknown Structure
Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...
Alfred Ultsch
ICASSP
2011
IEEE
12 years 9 months ago
Empirical divergence maximization for quantizer design: An analysis of approximation error
Empirical divergence maximization is an estimation method similar to empirical risk minimization whereby the Kullback-Leibler divergence is maximized over a class of functions tha...
Michael A. Lexa
TIP
2008
169views more  TIP 2008»
13 years 5 months ago
Maximum Likelihood Wavelet Density Estimation With Applications to Image and Shape Matching
Density estimation for observational data plays an integral role in a broad spectrum of applications, e.g. statistical data analysis and information-theoretic image registration. ...
Adrian M. Peter, Anand Rangarajan
NIPS
2008
13 years 6 months ago
Overlaying classifiers: a practical approach for optimal ranking
ROC curves are one of the most widely used displays to evaluate performance of scoring functions. In the paper, we propose a statistical method for directly optimizing the ROC cur...
Stéphan Clémençon, Nicolas Va...