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ICASSP
2010
IEEE
15 years 6 months ago
Algorithms for robust linear regression by exploiting the connection to sparse signal recovery
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
Yuzhe Jin, Bhaskar D. Rao
152
Voted
COGSCI
2008
84views more  COGSCI 2008»
15 years 6 months ago
A Probabilistic Model of Melody Perception
This study presents a probabilistic model of melody perception, which infers the key of a melody and also judges the probability of the melody itself. (A "melody" is def...
David Temperley
COGSCI
2002
108views more  COGSCI 2002»
15 years 6 months ago
Statistical models for the induction and use of selectional preferences
Selectional preferences have a long history in both generative and computational linguistics. However, since the publication of Resnik's dissertation in 1993, a new approach ...
Marc Light, Warren R. Greiff
NECO
1998
119views more  NECO 1998»
15 years 6 months ago
Density Estimation by Mixture Models with Smoothing Priors
In the statistical approach for self-organizing maps (SOMs), learning is regarded as an estimation algorithm for a Gaussian mixture model with a Gaussian smoothing prior on the ce...
Akio Utsugi
ICIP
2010
IEEE
15 years 4 months ago
Natural image matting for multiple wide-baseline views
In this paper we present a novel approach to estimate the alpha mattes of a foreground object captured by a widebaseline circular camera rig provided a single key frame trimap. Ba...
Muhammad Sarim, Adrian Hilton, Jean-Yves Guillemau...