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Patrick L. Combettes

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

34

Venues

2

Active years

1987–2023

Best venue rank

Multiconference

Where they publish

Papers

34 indexed papers, newest first.

YearVenueTitleAuthors
2023ICASSPA Variational Inequality Model for Learning Neural Networks.Patrick L. Combettes, Jean-Christophe Pesquet, Audrey Repetti
2022ICASSPBlock-Activated Algorithms For Multicomponent Fully Nonsmooth Minimization.Minh N. Bi, Patrick L. Combettes, Zev Woodstock
2022ICASSPSignal Recovery from Inconsistent Nonlinear Observations.Patrick L. Combettes, Zev Woodstock
2014ICIPA forward-backward view of some primal-dual optimization methods in image recovery.Patrick L. Combettes, Laurent Condat, Jean-Christophe Pesquet, Bang Cng Vu
2010ICIPAlternating proximal algorithm for blind image recovery.Jrme Bolte, Patrick L. Combettes, Jean-Christophe Pesquet
2010ICIPProximal method for geometry and texture image decomposition.Luis M. Briceo-Arias, Patrick L. Combettes, Jean-Christophe Pesquet, Nelly Pustelnik
2009ICASSPSplit convex minimization algorithm for signal recovery.Patrick L. Combettes, Jean-Christophe Pesquet
2006ICASSPA Decomposition Method for Nonsmooth Convex Variational Signal Recovery.Heinz H. Bauschke, Patrick L. Combettes, Jean-Christophe Pesquet
2005ICASSPA new generation of iterative transform algorithms for phase contrast tomography.Heinz H. Bauschke, Patrick L. Combettes, D. Russell Luke
2004ICASSPConstraint construction in convex set theoretic signal recovery via Stein's principle [image denoising example].Patrick L. Combettes, Jean-Christophe Pesquet
2004ICIPEstimating first-order finite-difference information in image restoration problems.Patrick L. Combettes, Jean-Christophe Pesquet
2004ICIPTheoretical analysis of some regularized image denoising methods.Patrick L. Combettes, Valrie R. Wajs
2003ICIPTotal variation information in image recovery.Patrick L. Combettes, Jean-Christophe Pesquet
2002ICIPOn the structure of some phase retrieval algorithms.Heinz H. Bauschke, Patrick L. Combettes, D. Russell Luke
2001ICIPConvex set theoretic image recovery with inexact projection algorithms.Patrick L. Combettes
2000ICASSPA parallel constraint disintegration and approximation scheme for quadratic signal recovery.Patrick L. Combettes
2000ICASSPA level-set subgradient projection algorithm for non-differentiable signal restoration with multiple constraints.Jian Luo, Patrick L. Combettes
1998ICASSPA block-iterative quadratic signal recovery algorithm.Patrick L. Combettes
1998ICIPNonlinear Multiresolution Image Analysis via Convex Projections.Patrick L. Combettes, Jean-Christophe Pesquet
1997ICASSPHard-constrained signal feasibility problems.Patrick L. Combettes, Pascal Bondon
1996ICASSPOperator theoretic image coding.Hong Puh, Patrick L. Combettes
1996ICIPGeneralized convex set theoretic image recovery.Patrick L. Combettes
1995ICASSPAdaptive linear filtering with convex constraints.Patrick L. Combettes, Pascal Bondon
1995ICIPConstrained image recovery in a product space.Patrick L. Combettes
1994ICASSPA fast parallel projection algorithm for set theoretic image recovery.Patrick L. Combettes, Hong Puh
1994ICIPConvex Set Theoretic Image Recovery via Chaotic Iterations of Approximate Projections.Patrick L. Combettes
1993ICASSPVolterra prediction models and higher order whiteness.Pascal Bondon, Patrick L. Combettes, Bernard Picinbono
1993ICASSPParallel projection methods for set theoretic signal reconstruction and restoration.Patrick L. Combettes, Hong Puh
1992ICASSPA general framework for the incorporation of uncertainty in set theoretic estimation.Patrick L. Combettes, Messaoud Benidir, Bernard C. Picinbono
1991ICASSPThe foundations of set theoretic estimation.Patrick L. Combettes, M. Reha Civanlar
1990ICASSPNew methods for the synthesis of set theoretic estimates [digital signal processing].Patrick L. Combettes, H. Joel Trussell
1989ICASSPGeneral order moments in set theoretic estimation.Patrick L. Combettes, H. Joel Trussell
1988ICASSPStability of the linear prediction filter: a set theoretic approach.Patrick L. Combettes, H. Joel Trussell
1987ICASSPConsiderations for the restoration of stochastic degradations.H. Joel Trussell, Patrick L. Combettes