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» Gibbs Construction in Steganography
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CVPR
2003
IEEE
14 years 11 months ago
An Efficient Approach to Learning Inhomogeneous Gibbs Model
Inhomogeneous Gibbs model (IGM) [4] is an effective maximum entropy model in characterizing complex highdimensional distributions. However, its training process is so slow that th...
Ziqiang Liu, Hong Chen, Heung-Yeung Shum
APBC
2004
163views Bioinformatics» more  APBC 2004»
13 years 11 months ago
A Combined Model and a Varied Gibbs Sampling Algorithm Used for Motif Discovery
The conserved sequences in gene regulatory regions dominate gene regulation. Discovering these sequences and their functions is important in post genome era. A novel model is cons...
Xiaoming Wu, Bo Wang, Changxin Song, Jingzhi Cheng
UAI
2000
13 years 11 months ago
Minimum Message Length Clustering Using Gibbs Sampling
The K-Means and EM algorithms are popular in clustering and mixture modeling due to their simplicity and ease of implementation. However, they have several significant limitations...
Ian Davidson
ICIP
2003
IEEE
14 years 11 months ago
A probabilistic framework for image segmentation
A new probabilistic image segmentation model based on hypothesis testing and Gibbs Random Fields is introduced. First, a probabilistic difference measure derived from a set of hyp...
Slawo Wesolkowski, Paul W. Fieguth
MMSEC
2006
ACM
129views Multimedia» more  MMSEC 2006»
14 years 3 months ago
WLAN steganography: a first practical review
Two different approaches for constructing a steganographic channel in an IEEE 802.11 (WLAN) network are introduced in this paper. First test results on the reliability, undetectab...
Christian Krätzer, Jana Dittmann, Andreas Lan...