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IWDW
2004
Springer
14 years 27 days ago
Fingerprinting Curves
This paper presents a new method for robust data hiding in curves and highlights potential applications including digital fingerprinting of map document for trace and track purpos...
Hongmei Gou, Min Wu
DAGM
2004
Springer
14 years 28 days ago
Predictive Discretization During Model Selection
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...
Harald Steck, Tommi Jaakkola
ICCV
2011
IEEE
12 years 7 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille
ICIP
2005
IEEE
14 years 9 months ago
Asymmetric spread spectrum data-hiding for Laplacian host data
Spread spectrum (SS) or known-host-statistics technique has shown the best performance in terms of both rate of reliable communications and bit error probability at the low waterm...
José-Emilio Vila-Forcén, Oleksiy J. ...
NIPS
2001
13 years 9 months ago
Fast, Large-Scale Transformation-Invariant Clustering
In previous work on "transformed mixtures of Gaussians" and "transformed hidden Markov models", we showed how the EM algorithm in a discrete latent variable mo...
Brendan J. Frey, Nebojsa Jojic