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» An Adaptive Steganographic Method Using Additive Noise
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PAMI
2007
144views more  PAMI 2007»
15 years 6 months ago
Multiplexing for Optimal Lighting
—Imaging of objects under variable lighting directions is an important and frequent practice in computer vision, machine vision, and image-based rendering. Methods for such imagi...
Yoav Y. Schechner, Shree K. Nayar, Peter N. Belhum...
BMCBI
2005
120views more  BMCBI 2005»
15 years 6 months ago
Robust detection of periodic time series measured from biological systems
Background: Periodic phenomena are widespread in biology. The problem of finding periodicity in biological time series can be viewed as a multiple hypothesis testing of the spectr...
Miika Ahdesmäki, Harri Lähdesmäki, ...
ICML
2007
IEEE
16 years 7 months ago
Beamforming using the relevance vector machine
Beamformers are spatial filters that pass source signals in particular focused locations while suppressing interference from elsewhere. The widely-used minimum variance adaptive b...
David P. Wipf, Srikantan S. Nagarajan
TASLP
2002
142views more  TASLP 2002»
15 years 6 months ago
Geometric source separation: merging convolutive source separation with geometric beamforming
Convolutive blind source separation and adaptive beamforming have a similar goal--extracting a source of interest (or multiple sources) while reducing undesired interferences. A be...
Lucas C. Parra, Christopher V. Alvino
ECCV
2006
Springer
16 years 8 months ago
Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement
Image restoration is a keen problem of low level vision. In this paper, we propose a novel - assumption-free on the noise model - technique based on random walks for image enhancem...
Noura Azzabou, Nikos Paragios, Frederic Guichard