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SODA
2003
ACM
142views Algorithms» more  SODA 2003»
15 years 2 months ago
The similarity metric
—A new class of distances appropriate for measuring similarity relations between sequences, say one type of similarity per distance, is studied. We propose a new “normalized in...
Ming Li, Xin Chen, Xin Li, Bin Ma, Paul M. B. Vit&...
TIFS
2008
133views more  TIFS 2008»
15 years 1 months ago
Kerckhoffs-Based Embedding Security Classes for WOA Data Hiding
Abstract-- It has recently been discovered that using pseudorandom sequences as carriers in spread-spectrum techniques for data-hiding is not at all a sufficient condition for ensu...
François Cayre, Patrick Bas
MIA
2010
170views more  MIA 2010»
14 years 8 months ago
Linear intensity-based image registration by Markov random fields and discrete optimization
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...
SODA
2010
ACM
196views Algorithms» more  SODA 2010»
15 years 10 months ago
Streaming Algorithms for extent problems in high dimensions
We develop (single-pass) streaming algorithms for maintaining extent measures of a stream S of n points in Rd . We focus on designing streaming algorithms whose working space is p...
Pankaj K Agarwal, R. Sharathkumar
MSV
2004
15 years 2 months ago
MABAC - Matrix Based Clustering Algorithm
Clustering is a prominent method in the data mining field. It is a discovery process that groups data such that intra cluster similarity is maximized and the inter cluster similar...
Yonghui Chen, Alan P. Sprague, Kevin D. Reilly