 | 2009 |
| 23 |  | Armin Eftekhari,
Hamid Abrishami Moghaddam,
Massoud Babaie-Zadeh:
k/K-Nearest Neighborhood Criterion for Improvement of Locally Linear Embedding.
CAIP 2009: 808-815 |
| 22 |  | Armin Eftekhari,
Hamid Abrishami Moghaddam,
Massoud Babaie-Zadeh:
k/K-Nearest Neighborhood Criterion for Improving Locally Linear Embedding.
CGIV 2009: 392-397 |
| 21 |  | Armin Eftekhari,
Hamid Abrishami Moghaddam,
Massoud Babaie-Zadeh:
Two Dimensional Compressive Classifier for Sparse Images.
CGIV 2009: 402-405 |
| 20 |  | Hamid Palangi,
Aboozar Ghafari,
Massoud Babaie-Zadeh,
Christian Jutten:
Image Coding and Compression with Sparse 3D Discrete Cosine Transform.
ICA 2009: 532-539 |
| 19 |  | Seyyed Majid Valiollahzadeh,
Hamed Firouzi,
Massoud Babaie-Zadeh,
Christian Jutten:
Image Denoising Using Sparse Representations.
ICA 2009: 557-564 |
| 18 |  | G. Hosein Mohimani,
Massoud Babaie-Zadeh,
Christian Jutten:
A Fast Approach for Overcomplete Sparse Decomposition Based on Smoothed ell 0 Norm.
IEEE Transactions on Signal Processing 57(1): 289-301 (2009) |
| 2008 |
| 17 |  | G. Hosein Mohimani,
Massoud Babaie-Zadeh,
Christian Jutten:
A fast approach for overcomplete sparse decomposition based on smoothed L0 norm
CoRR abs/0809.2508: (2008) |
| 16 |  | Hamed Firouzi,
Massoud Babaie-Zadeh,
Aria Ghasemian,
Christian Jutten:
A First Step to Convolutive Sparse Representation
CoRR abs/0809.3485: (2008) |
| 15 |  | Hamed Firouzi,
Masoud Farivar,
Massoud Babaie-Zadeh,
Christian Jutten:
Approximate Sparse Decomposition Based on Smoothed L0-Norm
CoRR abs/0811.2868: (2008) |
| 14 |  | Seyyed Majid Valiollahzadeh,
Mohammad Nazari,
Massoud Babaie-Zadeh,
Christian Jutten:
A New Trend in Optimization on Multi Overcomplete Dictionary toward Inpainting
CoRR abs/0812.2405: (2008) |
| 13 |  | Hadi Zayyani,
Seyyed Majid Valiollahzadeh,
Massoud Babaie-Zadeh:
Sparse Component Analysis (SCA) in Random-valued and Salt and Pepper Noise Removal
CoRR abs/0812.2892: (2008) |
| 12 |  | Farid Movahedi Naini,
G. Hosein Mohimani,
Massoud Babaie-Zadeh,
Christian Jutten:
Estimating the mixing matrix in Sparse Component Analysis (SCA) based on partial k-dimensional subspace clustering.
Neurocomputing 71(10-12): 2330-2343 (2008) |
| 2007 |
| 11 |  | G. Hosein Mohimani,
Massoud Babaie-Zadeh,
Christian Jutten:
Fast Sparse Representation Based on Smoothed l0 Norm.
ICA 2007: 389-396 |
| 10 |  | Nima Noorshams,
Massoud Babaie-Zadeh,
Christian Jutten:
Estimating the Mixing Matrix in Sparse Component Analysis Based on Converting a Multiple Dominant to a Single Dominant Problem.
ICA 2007: 397-405 |
| 9 |  | Hadi Zayyani,
Massoud Babaie-Zadeh,
G. Hosein Mohimani,
Christian Jutten:
Sparse Component Analysis in Presence of Noise Using an Iterative EM-MAP Algorithm.
ICA 2007: 438-445 |
| 2006 |
| 8 |  | Massoud Babaie-Zadeh,
Christian Jutten:
Semi-Blind Approaches for Source Separation and Independent component Analysis.
ESANN 2006: 301-312 |
| 7 |  | Samareh Samadi,
Massoud Babaie-Zadeh,
Christian Jutten:
Quasi-optimal EASI algorithm based on the Score Function Difference (SFD).
Neurocomputing 69(13-15): 1415-1424 (2006) |
| 6 |  | Massoud Babaie-Zadeh,
Christian Jutten,
Ali Mansour:
Sparse ICA via cluster-wise PCA.
Neurocomputing 69(13-15): 1458-1466 (2006) |
| 2005 |
| 5 |  | Massoud Babaie-Zadeh,
Christian Jutten:
A general approach for mutual information minimization and its application to blind source separation.
Signal Processing 85(5): 975-995 (2005) |
| 2004 |
| 4 |  | Massoud Babaie-Zadeh,
Ali Mansour,
Christian Jutten,
Farrokh Marvasti:
A Geometric Approach for Separating Several Speech Signals.
ICA 2004: 798-806 |
| 3 |  | Samareh Samadi,
Massoud Babaie-Zadeh,
Christian Jutten,
Kambiz Nayebi:
Blind Source Separation by Adaptive Estimation of Score Function Difference.
ICA 2004: 9-17 |
| 2 |  | Christian Jutten,
Massoud Babaie-Zadeh,
Shahram Hosseini:
Three easy ways for separating nonlinear mixtures?
Signal Processing 84(2): 217-229 (2004) |
| 2001 |
| 1 |  | Massoud Babaie-Zadeh,
Christian Jutten,
Kambiz Nayebi:
Separating Convolutive Mixtures by Mutual Information Minimization.
IWANN (2) 2001: 834-842 |