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» An Auxiliary Variational Method
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RECOMB
2009
Springer
16 years 6 months ago
Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information
Abstract. Hierarchical clustering is a popular method for grouping together similar elements based on a distance measure between them. In many cases, annotation information for som...
Saket Navlakha, James Robert White, Niranjan Nagar...
RECOMB
2002
Springer
16 years 6 months ago
Deconvolving sequence variation in mixed DNA populations
We present an original approach to identifying sequence variants in a mixed DNA population from sequence trace data. The heart of the method is based on parsimony: given a wildtyp...
Andy Wildenberg, Steven Skiena, Pavel Sumazin
DSP
2007
15 years 6 months ago
Variational and stochastic inference for Bayesian source separation
We tackle the general linear instantaneous model (possibly underdetermined and noisy) where we model the source prior with a Student t distribution. The conjugate-exponential char...
Ali Taylan Cemgil, Cédric Févotte, S...
DAC
2008
ACM
16 years 7 months ago
Statistical modeling and simulation of threshold variation under dopant fluctuations and line-edge roughness
The threshold voltage (Vth) of a nanoscale transistor is severely affected by random dopant fluctuations and line-edge roughness. The analysis of these effects usually requires at...
Yun Ye, Frank Liu, Sani R. Nassif, Yu Cao
CVPR
2007
IEEE
16 years 8 months ago
Variational Bayes Based Approach to Robust Subspace Learning
This paper presents a new algorithm for the problem of robust subspace learning (RSL), i.e., the estimation of linear subspace parameters from a set of data points in the presence...
Takayuki Okatani, Koichiro Deguchi