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» A Hilbert Space Embedding for Distributions
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ICASSP
2009
IEEE
13 years 11 months ago
Functional estimation in Hilbert space for distributed learning in wireless sensor networks
In this paper, we propose a distributed learning strategy in wireless sensor networks. Taking advantage of recent developments on kernel-based machine learning, we consider a new ...
Paul Honeine, Cédric Richard, José C...
ICPP
2003
IEEE
13 years 10 months ago
Tensor Product Formulation for Hilbert Space-Filling Curves
We present a tensor product formulation for Hilbert space-filling curves. Both recursive and iterative formulas are expressed in the paper. We view a Hilbert space-filling curve...
Shen-Yi Lin, Chih-Shen Chen, Li Liu, Chua-Huang Hu...
FOCM
2006
97views more  FOCM 2006»
13 years 4 months ago
Learning Rates of Least-Square Regularized Regression
This paper considers the regularized learning algorithm associated with the leastsquare loss and reproducing kernel Hilbert spaces. The target is the error analysis for the regres...
Qiang Wu, Yiming Ying, Ding-Xuan Zhou
JMM2
2006
149views more  JMM2 2006»
13 years 4 months ago
Invariant Robust 3-D Face Recognition based on the Hilbert Transform in Spectral Space
One of the main objectives of face recognition is to determine whether an acquired face belongs to a reference database and to subsequently identify the corresponding individual. F...
Eric Paquet, Marc Rioux
APPROX
2010
Springer
138views Algorithms» more  APPROX 2010»
13 years 4 months ago
The Euclidean Distortion of Flat Tori
We show that for every n-dimensional lattice L the torus Rn /L can be embedded with distortion O(n
Ishay Haviv, Oded Regev