|
|
New Ties between Computational Harmonic Analysis and Approximation Theory
– Emmanuel J. Candès
|
|
10
|
Ridge Functions and Orthonormal Ridgelets
– David L. Donoho
- 1998
|
|
10
|
Monoscale ridgelets for the representation of images with edges
– Emmanuel J. Candès
- 1999
|
|
37
|
Recovering Edges in Ill-Posed Inverse Problems: Optimality of Curvelet Frames
– Emmanuel J. Candès, David L. Donoho
- 2000
|
|
2
|
Ridgelets and their derivatives: Representation of images with edges”. Curves and Surfaces, Schumaker et al. (eds
– Emmanuel J. Candes
- 1999
|
|
12
|
On the representation of mutilated Sobolev functions
– Emmanuel J. Candès
- 1999
|
|
24
|
Curvelets and Curvilinear Integrals
– Emmanuel J. Candès, David L. Donoho
- 1999
|
|
119
|
Data compression and harmonic analysis
– David L. Donoho, Martin Vetterli, R. A. Devore, Ingrid Daubechies
- 1998
|
|
46
|
Orthonormal ridgelets and linear singularities
– David L. Donoho
- 1998
|
|
28
|
Digital Curvelet Transform: Strategy, Implementation and Experiments
– David L. Donoho, Mark R. Duncan
- 1999
|
|
67
|
Information-Theoretic Determination of Minimax Rates of Convergence
– Yuhong Yang, Andrew Barron
- 1997
|
|
28
|
Generalization Bounds for Function Approximation from Scattered Noisy Data
– Partha Niyogi, Federico Girosi
- 1998
|
|
22
|
Can recent innovations in harmonic analysis `explain' key findings in natural image statistics
– David L. Donoho, Ana Georgina Flesia
|
|
204
|
Curvelets: a surprisingly effective nonadaptive representation of objects with edges
– Emmanuel J. Candès, David L. Donoho
- 2000
|
|
12
|
Tight Frames of k-Plane Ridgelets and the Problem of Representing Objects Which Are Smooth Away from d-Dimensional Singularities in R^n
– David L. Donoho
|
|
44
|
The Curvelet Representation of Wave Propagators is Optimally Sparse
– Emmanuel J. Candès, Laurent Demanet
- 2004
|
|
65
|
New Multiscale Transforms, Minimum Total Variation Synthesis: Applications to Edge-Preserving Image Reconstruction
– Emmanuel J. Candès, Franck Guo
- 2001
|
|
6
|
Semiparametric ARX Neural Network Models with an Application to Forecasting Inflation
– Xiaohong Chen, Jeffrey Racine, Norman R. Swanson
- 2001
|
|
35
|
Vector Greedy Algorithms
– Adam Lutoborski, et al.
|
