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ICCV
2003
IEEE
14 years 10 months ago
Controlling Model Complexity in Flow Estimation
This paper describes a novel application of Statistical Learning Theory (SLT) to control model complexity in flow estimation. SLT provides analytical generalization bounds suitabl...
Zoran Duric, Fayin Li, Harry Wechsler, Vladimir Ch...
SSWMC
2004
13 years 10 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
SSIAI
2000
IEEE
14 years 1 months ago
Modulation Domain Image Segmentation
We present a modulation domain technique for segmenting textured images modeled as 2-D multicomponent AMFM functions. A Gabor filterbank is used to derive estimates of the domina...
Tanachit Tangsukson, Joseph P. Havlicek
CVPR
2010
IEEE
14 years 5 months ago
A Generative Perspective on MRFs in Low-Level Vision
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
Uwe Schmidt, Qi Gao, Stefan Roth
TIP
2002
179views more  TIP 2002»
13 years 8 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki