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» Convex Methods for Transduction
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PRL
2007
146views more  PRL 2007»
15 years 1 months ago
Neighbor number, valley seeking and clustering
This paper proposes a novel nonparametric clustering algorithm capable of identifying shape-free clusters. This algorithm is based on a nonparametric estimation of the normalized ...
Chaolin Zhang, Xuegong Zhang, Michael Q. Zhang, Ya...
ICASSP
2011
IEEE
14 years 5 months ago
Multiple-channel detection of a Gaussian time series over frequency-flat channels
This work addresses the problem of deciding whether a set of realizations of a vector-valued time series with unknown temporal correlation are spatially correlated or not. Speci...
David Ramírez, Javier Vía, Ignacio S...
CVPR
2012
IEEE
13 years 4 months ago
See all by looking at a few: Sparse modeling for finding representative objects
We consider the problem of finding a few representatives for a dataset, i.e., a subset of data points that efficiently describes the entire dataset. We assume that each data poi...
Ehsan Elhamifar, Guillermo Sapiro, René Vid...
WSC
2007
15 years 3 months ago
Finite-sample performance guarantees for one-dimensional stochastic root finding
We study the one-dimensional root finding problem for increasing convex functions. We give gradient-free algorithms for both exact and inexact (stochastic) function evaluations. ...
Samuel Ehrlichman, Shane G. Henderson
MP
2002
165views more  MP 2002»
15 years 1 months ago
A feasible semismooth asymptotically Newton method for mixed complementarity problems
Semismooth Newton methods constitute a major research area for solving mixed complementarity problems (MCPs). Early research on semismooth Newton methods is mainly on infeasible me...
Defeng Sun, Robert S. Womersley, Houduo Qi