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NIPS
2007
13 years 9 months ago
Random Projections for Manifold Learning
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
Chinmay Hegde, Michael B. Wakin, Richard G. Barani...
SAC
2008
ACM
13 years 7 months ago
Improving denial of service resistance using dynamic local adaptations
We improve the resistance of gossip-based multicast to (Distributed) Denial of Service (DoS) attacks using dynamic local adaptations at each node. Each node estimates the current ...
Gal Badishi, Idit Keidar
ATAL
2010
Springer
13 years 9 months ago
Formalizing organizational constraints: a semantic approach
An organizational modeling language can be used to specify an agent organization in terms of its roles, organizational structure, norms, etc. Such an organizational specification ...
M. Birna van Riemsdijk, Koen V. Hindriks, Catholij...
ESANN
2000
13 years 9 months ago
Parametric approach to blind deconvolution of nonlinear channels
A parametric procedure for the blind inversion of nonlinear channels is proposed, based on a recent method of blind source separation in nonlinear mixtures. Experiments show that ...
Jordi Solé i Casals, Anisse Taleb, Christia...
MA
2010
Springer
132views Communications» more  MA 2010»
13 years 6 months ago
Model selection by sequentially normalized least squares
Model selection by the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estima...
Jorma Rissanen, Teemu Roos, Petri Myllymäki