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» Sparse Representation for Gaussian Process Models
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ICASSP
2011
IEEE
14 years 6 months ago
Cosparse analysis modeling - uniqueness and algorithms
In the past decade there has been a great interest in a synthesis-based model for signals, based on sparse and redundant representations. Such a model assumes that the signal of i...
Sangnam Nam, Michael E. Davies, Michael Elad, R&ea...
AAAI
2010
15 years 4 months ago
A Bayesian Nonparametric Approach to Modeling Mobility Patterns
Constructing models of mobile agents can be difficult without domain-specific knowledge. Parametric models flexible enough to capture all mobility patterns that an expert believes...
Joshua Mason Joseph, Finale Doshi-Velez, Nicholas ...
ICASSP
2009
IEEE
15 years 10 months ago
Modeling instantaneous intonation for speaker identification using the fundamental frequency variation spectrum
In recent years, the field of automatic speaker identification has begun to exploit high-level sources of speaker-discriminative information, in addition to traditional models o...
Kornel Laskowski, Qin Jin
ICCV
2007
IEEE
16 years 5 months ago
Feature Preserving Image Smoothing Using a Continuous Mixture of Tensors
Many computer vision and image processing tasks require the preservation of local discontinuities, terminations and bifurcations. Denoising with feature preservation is a challeng...
Özlem N. Subakan, Bing Jian, Baba C. Vemuri, ...
ICCV
2009
IEEE
15 years 26 days ago
Bayesian Poisson regression for crowd counting
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
Antoni B. Chan, Nuno Vasconcelos