 | 2009 |
|---|
| 15 |       | Luminita State,
Catalina Cocianu,
Doru Constantin,
Corina Sararu,
Panayiotis Vlamos:
Toward a Semi-supervised Approach in Classification based on Principal Directions.
SIGMAP 2009: 68-73 |
| 2008 |
|---|
| 14 |  | Doru Constantin,
Luminita State:
An Improved Algorithm for Estimating the ICA Model Concerning the Convergence Rate.
AMDO 2008: 400-408 |
| 13 | | Luminita State,
Catalina Cocianu,
Ion Rosca,
Panayiotis Vlamos:
A New Learning Algorithm for Classification in the Reduced Space.
ICEIS (2) 2008: 155-160 |
| 12 | | Doru Constantin,
Luminita State:
A Version of the FastICA Algorithm Based on the Secant Method Combined with Simple Iterations Method.
ICISP 2008: 312-320 |
| 11 | | Luminita State,
Catalina Cocianu,
Panayiotis Vlamos,
Doru Constantin:
Neural Approaches to Image Compression/Decompression Using PCA based Learning Algorithms.
PRIS 2008: 187-192 |
| 10 | | Luminita State,
Catalina Cocianu,
Panayiotis Vlamos:
An unsupervised skeleton based method to discover the structure of the class system.
RCIS 2008: 169-178 |
| 9 | | Catalina Cocianu,
Luminita State,
Panayiotis Vlamos,
Doru Constantin:
Decorrelation Techniques in Image Restoration.
SIGMAP 2008: 193-196 |
| 2007 |
|---|
| 8 | | Luminita State,
Catalina Cocianu,
Panayiotis Vlamos,
Viorica Stefanescu:
A Connectionist Approach in Bayesian Classification.
ICEIS (2) 2007: 185-190 |
| 7 | | Catalina Cocianu,
Luminita State,
Ion Rosca,
Panayiotis Vlamos:
A New Adaptive Classification Scheme Based on Skeleton Information.
SIGMAP 2007: 85-92 |
| 6 | | Luminita State,
Catalina Cocianu,
Panayiotis Vlamos,
Doru Constantin:
Principal Directions-Based Algorithm for Classification Tasks.
SYNASC 2007: 137-143 |
| 2006 |
|---|
| 5 | | Luminita State,
Catalina Cocianu,
Panayiotis Vlamos,
Viorica Stefanescu:
PCA-based data mining probabilistic and fuzzy approaches with applications in pattern recognition.
ICSOFT (2) 2006: 55-60 |
| 2004 |
|---|
| 4 | | Catalina Cocianu,
Luminita State,
Panayiotis Vlamos,
Viorica Stefanescu:
On the Efficiency of a Certain Class of Noise Removal Algorithms in Solving Image Processing Tasks.
ICINCO (3) 2004: 320-323 |
| 3 | | Luminita State,
Catalina Cocianu,
Viorica Stefanescu,
Panayiotis Vlamos:
A Neural Network Framework for Implementing the Bayesian Learning.
ICINCO (3) 2004: 328-331 |
| 2002 |
|---|
| 2 | | Catalina Cocianu,
Luminita State,
Panayiotis Vlamos:
On a Certain Class of Algorithms for Noise Removal in Image Processing: A Comparative Study.
ITCC 2002: 111-116 |
| 1995 |
|---|
| 1 | | Luminita State,
Radu State:
And/Or Trees for Knowledge Representation.
ECSQARU 1995: 405-411 |
