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» Estimating the Distance to a Monotone Function
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ICML
2007
IEEE
14 years 8 months ago
A transductive framework of distance metric learning by spectral dimensionality reduction
Distance metric learning and nonlinear dimensionality reduction are two interesting and active topics in recent years. However, the connection between them is not thoroughly studi...
Fuxin Li, Jian Yang, Jue Wang
ISAAC
2004
Springer
84views Algorithms» more  ISAAC 2004»
14 years 22 days ago
Property-Preserving Data Reconstruction
We initiate a new line of investigation into online property-preserving data reconstruction. Consider a dataset which is assumed to satisfy various (known) structural properties; e...
Nir Ailon, Bernard Chazelle, Seshadhri Comandur, D...
IWANN
2009
Springer
13 years 12 months ago
Lower Bounds for Approximation of Some Classes of Lebesgue Measurable Functions by Sigmoidal Neural Networks
We propose a general method for estimating the distance between a compact subspace K of the space L1 ([0, 1]s ) of Lebesgue measurable functions defined on the hypercube [0, 1]s ,...
José Luis Montaña, Cruz E. Borges
BMCBI
2010
175views more  BMCBI 2010»
13 years 7 months ago
Global parameter estimation methods for stochastic biochemical systems
Background: The importance of stochasticity in cellular processes having low number of molecules has resulted in the development of stochastic models such as chemical master equat...
Suresh Kumar Poovathingal, Rudiyanto Gunawan
PAMI
2002
201views more  PAMI 2002»
13 years 7 months ago
ICP Registration Using Invariant Features
This paper investigates the use of Euclidean invariant features in a generalization of iterative closest point registration of range images. Pointwisecorrespondences are chosen as...
Gregory C. Sharp, Sang Wook Lee, David K. Wehe