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CORR
2007
Springer
128views Education» more  CORR 2007»
13 years 4 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'...
AAAI
2006
13 years 5 months ago
Inexact Matching of Ontology Graphs Using Expectation-Maximization
We present a new method for mapping ontology schemas that address similar domains. The problem of ontology mapping is crucial since we are witnessing a decentralized development a...
Prashant Doshi, Christopher Thomas
SIGMETRICS
2009
ACM
140views Hardware» more  SIGMETRICS 2009»
13 years 11 months ago
Maximum likelihood estimation of the flow size distribution tail index from sampled packet data
In the context of network traffic analysis, we address the problem of estimating the tail index of flow (or more generally of any group) size distribution from the observation of...
Patrick Loiseau, Paulo Gonçalves, Sté...
ICML
2006
IEEE
14 years 5 months ago
Convex optimization techniques for fitting sparse Gaussian graphical models
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
ICPR
2006
IEEE
14 years 5 months ago
A Maximum-Likelihood Approach to Symbolic Indirect Correlation
Symbolic Indirect Correlation (SIC) is a nonparametric method that offers significant advantages for recognition of ordered unsegmented signals. A previously introduced formulatio...
Ashutosh Joshi, Daniel P. Lopresti, George Nagy, S...
ICCV
2007
IEEE
14 years 6 months ago
A Robust Algorithm for Fiber-Bundle Atlas Construction
In this paper, we demonstrate an integrated registration and clustering algorithm to compute an atlas of fiberbundles from a set of multi-subject diffusion weighted MR images. We ...
Ulas Ziyan, Mert R. Sabuncu, W. Eric L. Grimson, C...