| 2009 |
|---|
| 19 | EE | Patrick L. Combettes:
Fejér Monotonicity in Convex Optimization.
Encyclopedia of Optimization 2009: 1016-1024 |
| 2006 |
|---|
| 18 | EE | Heinz H. Bauschke,
Patrick L. Combettes,
D. Russell Luke:
A strongly convergent reflection method for finding the projection onto the intersection of two closed convex sets in a Hilbert space.
Journal of Approximation Theory 141(1): 63-69 (2006) |
| 2005 |
|---|
| 17 | EE | Thomas D. Capricelli,
Patrick L. Combettes:
Parallel Block-Iterative Reconstruction Algorithms for Binary Tomography.
Electronic Notes in Discrete Mathematics 20: 263-280 (2005) |
| 2004 |
|---|
| 16 | EE | Patrick L. Combettes,
Jean-Christophe Pesquet:
Estimating first-order finite-difference information in image restoration problems.
ICIP 2004: 321-324 |
| 15 | EE | Patrick L. Combettes,
Valerie R. Wajs:
Theoretical analysis of some regularized image denoising methods.
ICIP 2004: 969-972 |
| 14 | EE | Patrick L. Combettes,
Jean-Christophe Pesquet:
Image restoration subject to a total variation constraint.
IEEE Transactions on Image Processing 13(9): 1213-1222 (2004) |
| 13 | EE | Heinz H. Bauschke,
Patrick L. Combettes,
D. Russell Luke:
Finding best approximation pairs relative to two closed convex sets in Hilbert spaces.
Journal of Approximation Theory 127(2): 178-192 (2004) |
| 2003 |
|---|
| 12 | | Patrick L. Combettes,
Jean-Christophe Pesquet:
Total variation information in image recovery.
ICIP (3) 2003: 373-376 |
| 2002 |
|---|
| 11 | | Heinz H. Bauschke,
Patrick L. Combettes,
D. Russell Luke:
On the structure of some phase retrieval algorithms.
ICIP (2) 2002: 841-844 |
| 10 | EE | Patrick L. Combettes,
Jian Luo:
An adaptive level set method for nondifferentiable constrained image recovery.
IEEE Transactions on Image Processing 11(11): 1295-1304 (2002) |
| 2001 |
|---|
| 9 | EE | Patrick L. Combettes:
Convex set theoretic image recovery with inexact projection algorithms.
ICIP (1) 2001: 257-260 |
| 8 | EE | Heinz H. Bauschke,
Patrick L. Combettes:
A Weak-to-Strong Convergence Principle for Fejé-Monotone Methods in Hilbert Spaces.
Math. Oper. Res. 26(2): 248-264 (2001) |
| 1999 |
|---|
| 7 | | Jian Luo,
Patrick L. Combettes:
A subgradient projection algorithm for nondifferentiable signal recovery.
NSIP 1999: 452-456 |
| 1998 |
|---|
| 6 | | Patrick L. Combettes,
Jean-Christophe Pesquet:
Nonlinear Multiresolution Image Analysis via Convex Projections.
ICIP (2) 1998: 762-765 |
| 5 | EE | Patrick L. Combettes,
Jean-Christophe Pesquet:
Convex Multiresolution Analysis.
IEEE Trans. Pattern Anal. Mach. Intell. 20(12): 1308-1318 (1998) |
| 1997 |
|---|
| 4 | EE | Patrick L. Combettes:
Convex set theoretic image recovery by extrapolated iterations of parallel subgradient projections.
IEEE Transactions on Image Processing 6(4): 493-506 (1997) |
| 1995 |
|---|
| 3 | EE | Patrick L. Combettes:
Constrained image recovery in a product space.
ICIP 1995: 2025-2028 |
| 1994 |
|---|
| 2 | | Patrick L. Combettes:
Convex Set Theoretic Image Recovery via Chaotic Iterations of Approximate Projections.
ICIP (3) 1994: 182-186 |
| 1993 |
|---|
| 1 | EE | Patrick L. Combettes:
Signal recovery by best feasible approximation.
IEEE Transactions on Image Processing 2(2): 269-271 (1993) |
