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ICCV
2007
IEEE
16 years 8 months ago
Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
MASCOTS
2007
15 years 7 months ago
Stochastic Bounds Applied to the End to End QoS in Communication Systems
—1 End to end QoS of communication systems is essential for users but their performance evaluation is a complex issue. The ion of such systems are usually given by multidimension...
Hind Castel, Lynda Mokdad, Nihal Pekergin
ICASSP
2011
IEEE
14 years 10 months ago
A non-negative approach to semi-supervised separation of speech from noise with the use of temporal dynamics
We present a semi-supervised source separation methodology to denoise speech by modeling speech as one source and noise as the other source. We model speech using the recently pro...
Gautham J. Mysore, Paris Smaragdis
AAAI
2006
15 years 7 months ago
Probabilistic Self-Localization for Sensor Networks
This paper describes a technique for the probabilistic self-localization of a sensor network based on noisy inter-sensor range data. Our method is based on a number of parallel in...
Dimitri Marinakis, Gregory Dudek
CSDA
2010
118views more  CSDA 2010»
15 years 6 months ago
Grapham: Graphical models with adaptive random walk Metropolis algorithms
Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...
Matti Vihola