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» {Algorithmic Minimal Sufficient Statistics: a New Definition
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TSP
2011
170views more  TSP 2011»
13 years 1 months ago
Model Selection for Sinusoids in Noise: Statistical Analysis and a New Penalty Term
—Detection of the number of sinusoids embedded in noise is a fundamental problem in statistical signal processing. Most parametric methods minimize the sum of a data fit (likeli...
Boaz Nadler, Leonid Kontorovich
DMIN
2007
90views Data Mining» more  DMIN 2007»
13 years 9 months ago
On Minimal Infrequent Itemset Mining
—A new algorithm for minimal infrequent itemset mining is presented. Potential applications of finding infrequent itemsets include statistical disclosure risk assessment, bioinf...
David J. Haglin, Anna M. Manning
NIPS
1998
13 years 9 months ago
A Polygonal Line Algorithm for Constructing Principal Curves
Principal curves have been defined as "self consistent" smooth curves which pass through the "middle" of a d-dimensional probability distribution or data cloud...
Balázs Kégl, Adam Krzyzak, Tam&aacut...
CVPR
2008
IEEE
14 years 9 months ago
Robust statistics on Riemannian manifolds via the geometric median
The geometric median is a classic robust estimator of centrality for data in Euclidean spaces. In this paper we formulate the geometric median of data on a Riemannian manifold as ...
P. Thomas Fletcher, Suresh Venkatasubramanian, Sar...
CSREASAM
2006
13 years 9 months ago
A New Robust and Secure Steganographic System for Greyscale Images
: The research work in this paper shows that the currently available stenographic methods might be quite easily detected by using sufficiently careful analysis of the transmitted d...
Hesham Elzouka