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ICASSP
2011
IEEE
12 years 10 months ago
Robust Bayesian Analysis applied to Wiener filtering of speech
Commonly used speech enhancement algorithms estimate the power spectral density of the noise to be removed, or make a decision about the presence of speech in a particular frame, ...
Phil Spencer Whitehead, David V. Anderson
JMLR
2011
187views more  JMLR 2011»
13 years 1 months ago
Robust Statistics for Describing Causality in Multivariate Time Series
A widely agreed upon definition of time series causality inference, established in the seminal 1969 article of Clive Granger (1969), is based on the relative ability of the histor...
Florin Popescu
ICIP
2000
IEEE
14 years 8 months ago
Higher-Order Spectral Analysis of Human Motion
We describe a higher-orderspectralanalysis-basedapproach for detecting people by recognizing human motion such as walking or running. The periodic attribute of human motion lends ...
A. N. Rajagopalan, Rama Chellappa
GRAPHICSINTERFACE
2007
13 years 8 months ago
Spectral graph-theoretic approach to 3D mesh watermarking
We propose a robust and imperceptible spectral watermarking method for high rate embedding of a watermark into 3D polygonal meshes. Our approach consists of four main steps: (1) t...
Emad E. Abdallah, A. Ben Hamza, Prabir Bhattachary...
ESANN
2006
13 years 8 months ago
Robust Local Cluster Neural Networks
Abstract. Artificial neural networks are intended to be used in future nanoelectronics since their biological examples seem to be robust to noise. In this paper, we analyze the rob...
Ralf Eickhoff, Joaquin Sitte, Ulrich Rückert