 | 2011 |
| 23 |  | Anat Levin,
Boaz Nadler:
Natural image denoising: Optimality and inherent bounds.
CVPR 2011: 2833-2840 |
| 22 |  | Boaz Nadler,
Federico Penna,
Roberto Garello:
Performance of Eigenvalue-Based Signal Detectors with Known and Unknown Noise Level.
ICC 2011: 1-5 |
| 21 |  | Boaz Nadler,
Leonid Kontorovich:
Model Selection for Sinusoids in Noise: Statistical Analysis and a New Penalty Term.
IEEE Transactions on Signal Processing 59(4): 1333-1345 (2011) |
| 20 |  | Boaz Nadler:
On the distribution of the ratio of the largest eigenvalue to the trace of a Wishart matrix.
J. Multivariate Analysis 102(2): 363-371 (2011) |
| 2010 |
| 19 |  | Sharon Alpert,
Meirav Galun,
Boaz Nadler,
Ronen Basri:
Detecting Faint Curved Edges in Noisy Images.
ECCV (4) 2010: 750-763 |
| 18 |  | Matan Gavish,
Boaz Nadler,
Ronald R. Coifman:
Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning.
ICML 2010: 367-374 |
| 17 |  | Rui Xu,
Steven Damelin,
Boaz Nadler,
Donald C. Wunsch II:
Clustering of high-dimensional gene expression data with feature filtering methods and diffusion maps.
Artificial Intelligence in Medicine 48(2-3): 91-98 (2010) |
| 16 |  | Boaz Nadler:
Nonparametric detection of signals by information theoretic criteria: performance analysis and an improved estimator.
IEEE Transactions on Signal Processing 58(5): 2746-2756 (2010) |
| 2009 |
| 15 |  | Björn Andres,
Ullrich Köthe,
Andreea Bonea,
Boaz Nadler,
Fred A. Hamprecht:
Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times.
DAGM-Symposium 2009: 502-511 |
| 14 |  | Boaz Nadler,
Nathan Srebro,
Xueyuan Zhou:
Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data.
NIPS 2009: 1330-1338 |
| 13 |  | Shira Kritchman,
Boaz Nadler:
Non-parametric detection of the number of signals: hypothesis testing and random matrix theory.
IEEE Transactions on Signal Processing 57(10): 3930-3941 (2009) |
| 12 |  | Leonid Kontorovich,
Boaz Nadler:
Universal Kernel-Based Learning with Applications to Regular Languages.
Journal of Machine Learning Research 10: 1095-1129 (2009) |
| 11 |  | Amit Singer,
Yoel Shkolnisky,
Boaz Nadler:
Diffusion Interpretation of Nonlocal Neighborhood Filters for Signal Denoising.
SIAM J. Imaging Sciences 2(1): 118-139 (2009) |
| 10 |  | Ilse C. F. Ipsen,
Boaz Nadler:
Refined Perturbation Bounds for Eigenvalues of Hermitian and Non-Hermitian Matrices.
SIAM J. Matrix Analysis Applications 31(1): 40-53 (2009) |
| 2008 |
| 9 |  | Rui Xu,
Steven Damelin,
Boaz Nadler,
Donald C. Wunsch II:
Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps.
BMEI (1) 2008: 245-249 |
| 8 |  | Ira Kemelmacher-Shlizerman,
Ronen Basri,
Boaz Nadler:
3D shape reconstruction of Mooney faces.
CVPR 2008 |
| 7 |  | Ronald R. Coifman,
Ioannis G. Kevrekidis,
Stéphane Lafon,
Mauro Maggioni,
Boaz Nadler:
Diffusion Maps, Reduction Coordinates, and Low Dimensional Representation of Stochastic Systems.
Multiscale Modeling & Simulation 7(2): 842-864 (2008) |
| 2007 |
| 6 |  | Ann B. Lee,
Boaz Nadler:
Treelets | A Tool for Dimensionality Reduction and Multi-Scale Analysis of Unstructured Data.
Journal of Machine Learning Research - Proceedings Track 2: 259-266 (2007) |
| 2006 |
| 5 |  | Boaz Nadler,
Meirav Galun:
Fundamental Limitations of Spectral Clustering.
NIPS 2006: 1017-1024 |
| 2005 |
| 4 |  | Boaz Nadler,
Stéphane Lafon,
Ronald R. Coifman,
Ioannis G. Kevrekidis:
Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck Operators.
NIPS 2005 |
| 2003 |
| 3 |  | Boaz Nadler,
T. Naeh,
Z. Schuss:
Connecting a Discrete Ionic Simulation to a Continuum.
SIAM Journal of Applied Mathematics 63(3): 850-873 (2003) |
| 2001 |
| 2 |  | Boaz Nadler,
T. Naeh,
Z. Schuss:
The Stationary Arrival Process of Independent Diffusers from a Continuum to an Absorbing Boundary Is Poissonian.
SIAM Journal of Applied Mathematics 62(2): 433-447 (2001) |
| 1999 |
| 1 |  | Boaz Nadler,
Gadi Fibich,
Shuly Lev-Yehudi,
Daniel Cohen-Or:
A qualitative and quantitative visibility analysis in urban scenes.
Computers & Graphics 23(5): 655-666 (1999) |