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ISBI
2008
IEEE
14 years 9 months ago
Deformation-based nonlinear dimension reduction: Applications to nuclear morphometry
We describe a new approach for elucidating the nonlinear degrees of freedom in a distribution of shapes depicted in digital images. By combining a deformation-based method for mea...
Gustavo K. Rohde, Wei Wang, Tao Peng, Robert F. Mu...
STOC
2007
ACM
94views Algorithms» more  STOC 2007»
14 years 9 months ago
Sampling-based dimension reduction for subspace approximation
We give a randomized bi-criteria algorithm for the problem of finding a k-dimensional subspace that minimizes the Lp-error for given points, i.e., p-th root of the sum of p-th
Amit Deshpande, Kasturi R. Varadarajan
CDC
2008
IEEE
118views Control Systems» more  CDC 2008»
14 years 3 months ago
A density projection approach to dimension reduction for continuous-state POMDPs
Abstract— Research on numerical solution methods for partially observable Markov decision processes (POMDPs) has primarily focused on discrete-state models, and these algorithms ...
Enlu Zhou, Michael C. Fu, Steven I. Marcus
PAKDD
2005
ACM
102views Data Mining» more  PAKDD 2005»
14 years 2 months ago
A Recent-Biased Dimension Reduction Technique for Time Series Data
Yanchang Zhao, Chengqi Zhang, Shichao Zhang
NIPS
2008
13 years 10 months ago
Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm
We study the convergence and the rate of convergence of a local manifold learning algorithm: LTSA [13]. The main technical tool is the perturbation analysis on the linear invarian...
Andrew Smith, Xiaoming Huo, Hongyuan Zha