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» Unsupervised image embedding using nonparametric statistics
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ICIP
2006
IEEE
16 years 1 months 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...
IPMI
2009
Springer
15 years 6 months ago
Estimating the Confidence of Statistical Model Based Shape Prediction
We propose a method for estimating confidence regions around shapes predicted from partial observations, given a statistical shape model. Our method relies on the estimation of the...
Rémi Blanc, Ekaterina Syrkina, Gábor...
MVA
2010
130views Computer Vision» more  MVA 2010»
14 years 10 months ago
Neighborhood linear embedding for intrinsic structure discovery
In this paper, an unsupervised learning algorithm, neighborhood linear embedding (NLE), is proposed to discover the intrinsic structures such as neighborhood relationships, global ...
Shuzhi Sam Ge, Feng Guan, Yaozhang Pan, Ai Poh Loh
ICIP
2000
IEEE
16 years 1 months ago
Texture-Based Segmentation of Satellite Weather Imagery
Unsupervised segmentation of weather images into features that correspond to physical storms is a fundamental and difficult problem. Treating an infrared satellite image as a Mark...
V. Lakshmanan, Victor E. DeBrunner, R. Rabin
ICIP
2005
IEEE
15 years 5 months ago
Robust highlight extraction using multi-stream hidden Markov models for baseball video
This paper proposes a robust statistical framework to extract highlights from a baseball broadcast video. We applied multistream Hidden Markov Models (HMMs) to control the weights...
Nguyen Huu Bach, Koichi Shinoda, Sadaoki Furui