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139
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CORR
2007
Springer
128views Education» more  CORR 2007»
15 years 3 months ago
Model Selection Through Sparse Maximum Likelihood Estimation
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
125
Voted
CORR
2007
Springer
120views Education» more  CORR 2007»
15 years 3 months ago
A Deterministic Approach to Wireless Relay Networks
—We present a deterministic channel model which captures several key features of multiuser wireless communication. We consider a model for a wireless network with nodes connected...
Amir Salman Avestimehr, Suhas N. Diggavi, David N....
124
Voted
CSL
2007
Springer
15 years 3 months ago
Discriminative semi-parametric trajectory model for speech recognition
Hidden Markov Models (HMMs) are the most commonly used acoustic model for speech recognition. In HMMs, the probability of successive observations is assumed independent given the ...
K. C. Sim, M. J. F. Gales
146
Voted
JCM
2006
129views more  JCM 2006»
15 years 3 months ago
Analysis of UWB Interference to MPSK Narrowband Receivers
This paper studies the in-band interference of time-hopping spread spectrum (TH-SS) ultra-wideband (UWB) signals to narrowband receivers. Based on the analysis of general power spe...
Dongsong Zeng, Amir I. Zaghloul, Annamalai Annamal...
126
Voted
JMLR
2006
105views more  JMLR 2006»
15 years 3 months ago
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems
We introduce a method for approximate smoothed inference in a class of switching linear dynamical systems, based on a novel form of Gaussian Sum smoother. This class includes the ...
David Barber