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ICIP
2006
IEEE
16 years 20 days ago
Provably Secure Steganography: Achieving Zero K-L Divergence using Statistical Restoration
In this paper, we present a framework for the design of steganographic schemes that can provide provable security by achieving zero Kullback-Leibler divergence between the cover a...
Kaushal Solanki, Kenneth Sullivan, Upamanyu Madhow...
ICIP
2004
IEEE
16 years 18 days ago
Efficient classification of scanned media using spatial statistics
We address the automatic classification of scanned input media in order to improve color calibration. Since scanner responses vary significantly according to the type of input, a ...
Gozde B. Unal, Gaurav Sharma, Reiner Eschbach
ICIP
2003
IEEE
16 years 18 days ago
A hierarchical statistical modeling approach for the unsupervised 3D reconstruction of the scoliotic spine
In this paper, we propose a new and accurate 3D reconstruction technique for the scoliotic spine from a pair planar and conventional radiographic images (postero-anterior and late...
Said Benameur, Max Mignotte, Stefan Parent, Hubert...
MICCAI
2004
Springer
15 years 12 months ago
Coupling Statistical Segmentation and PCA Shape Modeling
This paper presents a novel segmentation approach featuring shape constraints of multiple structures. A framework is developed combining statistical shape modeling with a maximum a...
Kilian M. Pohl, Simon K. Warfield, Ron Kikinis, W....
ECCV
2010
Springer
15 years 4 months ago
Graph Cut based Inference with Co-occurrence Statistics
Abstract. Markov and Conditional random fields (CRFs) used in computer vision typically model only local interactions between variables, as this is computationally tractable. In t...