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ICML
2005
IEEE
15 years 10 months ago
Analysis and extension of spectral methods for nonlinear dimensionality reduction
Many unsupervised algorithms for nonlinear dimensionality reduction, such as locally linear embedding (LLE) and Laplacian eigenmaps, are derived from the spectral decompositions o...
Fei Sha, Lawrence K. Saul
OOPSLA
2004
Springer
15 years 3 months ago
Modular generics
This paper presents the design of G, a new language specifically created for generic programming. We review and identify important language features of C++ and Haskell in light o...
Jeremy G. Siek
CORR
2008
Springer
133views Education» more  CORR 2008»
14 years 9 months ago
Estimating divergence functionals and the likelihood ratio by convex risk minimization
We develop and analyze M-estimation methods for divergence functionals and the likelihood ratios of two probability distributions. Our method is based on a non-asymptotic variatio...
XuanLong Nguyen, Martin J. Wainwright, Michael I. ...
JMIV
2010
98views more  JMIV 2010»
14 years 8 months ago
Expectations of Random Sets and Their Boundaries Using Oriented Distance Functions
Shape estimation and object reconstruction are common problems in image analysis. Mathematically, viewing objects in the image plane as random sets reduces the problem of shape es...
Hanna K. Jankowski, Larissa I. Stanberry
TPHOL
2008
IEEE
15 years 4 months ago
Formal Reasoning About Causality Analysis
Systems that can immediately react to their inputs may suffer from cyclic dependencies between their actions and the corresponding trigger conditions. For this reason, causality an...
Jens Brandt, Klaus Schneider