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» Adaptive metric dimensionality reduction
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CORR
2011
Springer
243views Education» more  CORR 2011»
13 years 1 months ago
Localization from Incomplete Noisy Distance Measurements
—We consider the problem of positioning a cloud of points in the Euclidean space Rd , from noisy measurements of a subset of pairwise distances. This task has applications in var...
Adel Javanmard, Andrea Montanari
ICDCS
1999
IEEE
13 years 11 months ago
Search Space Reduction in QoS Routing
To provide real-time service or engineer constrained-based paths, networks require the underlying routing algorithm to be able to find low-cost paths that satisfy given Quality-of...
Liang Guo, Ibrahim Matta
ESANN
2004
13 years 8 months ago
Neural methods for non-standard data
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
Barbara Hammer, Brijnesh J. Jain
ICRA
2002
IEEE
115views Robotics» more  ICRA 2002»
13 years 11 months ago
Parametric Primitives for Motor Representation and Control
The use of motor primitives for the generation of complex movements is a relatively new and interesting idea for dimensionality reduction in robot control. We propose a framework ...
R. Amit, Maja J. Mataric
COLT
2008
Springer
13 years 8 months ago
Injective Hilbert Space Embeddings of Probability Measures
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing and independence testing. ...
Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fu...