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ICONIP
2004
13 years 9 months ago
Non-linear Dimensionality Reduction by Locally Linear Isomaps
Algorithms for nonlinear dimensionality reduction (NLDR) find meaningful hidden low-dimensional structures in a high-dimensional space. Current algorithms for NLDR are Isomaps, Loc...
Ashutosh Saxena, Abhinav Gupta, Amitabha Mukerjee
VLDB
1997
ACM
66views Database» more  VLDB 1997»
14 years 1 hour ago
A One-Pass Algorithm for Accurately Estimating Quantiles for Disk-Resident Data
The cpquantile of an ordered sequenceof data values is the element with rank ‘pn, where n is the total number of values. Accurate estimates of quantiles are required for the sol...
Khaled Alsabti, Sanjay Ranka, Vineet Singh
TSMC
2002
107views more  TSMC 2002»
13 years 7 months ago
Guaranteed robust nonlinear estimation with application to robot localization
When reliable prior bounds on the acceptable errors between the data and corresponding model outputs are available, bounded-error estimation techniques make it possible to characte...
Luc Jaulin, Michel Kieffer, Eric Walter, Dominique...
MIA
2010
95views more  MIA 2010»
13 years 2 months ago
Evaluation of brain atrophy estimation algorithms using simulated ground-truth data
A number of analysis tools have been developed for the estimation of brain atrophy using MRI. Since brain atrophy is being increasingly used as a marker of disease progression in ...
Swati Sharma, Vincent Noblet, François Rous...
TIT
2008
141views more  TIT 2008»
13 years 7 months ago
Dimensionality Reduction for Distributed Estimation in the Infinite Dimensional Regime
Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated wi...
Olivier Roy, Martin Vetterli