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SSWMC
2004
15 years 8 months ago
On estimation of secret message length in LSB steganography in spatial domain
In this paper, we present a new method for estimating the secret message length of bit-streams embedded using the Least Significant Bit embedding (LSB) at random pixel positions. ...
Jessica J. Fridrich, Miroslav Goljan
NIPS
2003
15 years 8 months ago
Kernel Dimensionality Reduction for Supervised Learning
We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...
Kenji Fukumizu, Francis R. Bach, Michael I. Jordan
CORR
2010
Springer
88views Education» more  CORR 2010»
15 years 6 months ago
Grothendieck inequalities for semidefinite programs with rank constraint
Grothendieck inequalities are fundamental inequalities which are frequently used in many areas of mathematics and computer science. They can be interpreted as upper bounds for the ...
Jop Briët, Fernando Mário de Oliveira ...
EOR
2010
114views more  EOR 2010»
15 years 6 months ago
Technology choice under several uncertainty sources
We analyze a model of irreversible investment with two sources of uncertainty. A riskneutral decision maker has the choice between two mutually exclusive projects under input pric...
Catherine Bobtcheff, Stéphane Villeneuve
SIAMJO
2008
104views more  SIAMJO 2008»
15 years 6 months ago
A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance
This paper concerns a fractional function of the form xT a/ xT Bx, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, an...
Seung-Jean Kim, Stephen P. Boyd