91
Voted
CORR
2007
Springer
14 years 11 months ago
2007
Springer
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...
86
Voted
AAAI
2006
15 years 9 days ago
2006
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...
96
Voted
SIGMETRICS
2009
ACM
15 years 5 months ago
2009
ACM
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...
94
Voted
ICML
2006
IEEE
15 years 11 months ago
2006
IEEE
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...
ICPR
2006
IEEE
16 years 4 hour ago
2006
IEEE
Symbolic Indirect Correlation (SIC) is a nonparametric method that offers significant advantages for recognition of ordered unsegmented signals. A previously introduced formulatio...
89
Voted
ICCV
2007
IEEE
16 years 26 days ago
2007
IEEE
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 ...