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IEEEHPCS
2010
13 years 4 days ago
Robust lossless data hiding: Analysis and evaluation
Robust lossless data hiding (LDH) methods have attracted more and more attentions for copyright protection of multimedia in lossy environment. One of the important requirements of...
Lingling An, Xinbo Gao, Cheng Deng, Feng Ji
NIPS
2001
13 years 6 months ago
Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
Drawing on the correspondence between the graph Laplacian, the Laplace-Beltrami operator on a manifold, and the connections to the heat equation, we propose a geometrically motiva...
Mikhail Belkin, Partha Niyogi
CVPR
2009
IEEE
15 years 12 days ago
Shared Kernel Information Embedding for Discriminative Inference
Latent Variable Models (LVM), like the Shared-GPLVM and the Spectral Latent Variable Model, help mitigate over- fitting when learning discriminative methods from small or modera...
David J. Fleet, Leonid Sigal, Roland Memisevic
ICIP
2000
IEEE
14 years 6 months ago
Image Watermarking with Better Resilience
We present schemes for hardeningimage watermarks against adversarial jamming. Our techniques improve upon standard correlation- and spread spectrum-based methods, and withstand va...
Ramarathnam Venkatesan, Mariusz H. Jakubowski
CVPR
2008
IEEE
14 years 7 months ago
Joint data alignment up to (lossy) transformations
Joint data alignment is often regarded as a data simplification process. This idea is powerful and general, but raises two delicate issues. First, one must make sure that the usef...
Andrea Vedaldi, Gregorio Guidi, Stefano Soatto