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ICML
2006
IEEE
15 years 10 months ago
A duality view of spectral methods for dimensionality reduction
We present a unified duality view of several recently emerged spectral methods for nonlinear dimensionality reduction, including Isomap, locally linear embedding, Laplacian eigenm...
Lin Xiao, Jun Sun 0003, Stephen P. Boyd
UAI
2003
14 years 11 months ago
Approximate Decomposition: A Method for Bounding and Estimating Probabilistic and Deterministic Queries
In this paper, we introduce a method for approximating the solution to inference and optimization tasks in uncertain and deterministic reasoning. Such tasks are in general intract...
David Larkin
TSP
2010
14 years 4 months ago
Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
Avishy Carmi, Pini Gurfil, Dimitri Kanevsky
TSP
2008
118views more  TSP 2008»
14 years 9 months ago
A Block Component Model-Based Blind DS-CDMA Receiver
In this paper, we consider the problem of blind multiuser separation-equalization in the uplink of a wideband DS-CDMA system, in a multipath propagation environment with intersymbo...
Dimitri Nion, Lieven De Lathauwer
ICASSP
2009
IEEE
14 years 7 months ago
A PARAFAC-based technique for detection and localization of multiple targets in a MIMO radar system
In this paper, we show that the problem of detection and localization of multiple targets in a bistatic MIMO radar system can be solved by Parallel Factor (PARAFAC) analysis. Our ...
Dimitri Nion, Nicholas D. Sidiropoulos