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Publications
- 2013
[j3]Panayiotis M. Vlamos
, Konstantinos Lefkimmiatis, Catalina Cocianu, Luminita State, Zhiyuan Luo:
Artificial Intelligence Applications in Biomedicine. Adv. Artif. Intell. 2013: 219137:1-219137:2 (2013)- 2012
- [c20]Luminita State, Catalina Cocianu, Marinela Mircea:
Heuristic Attempts to Improve the Generalization Capacities in Learning SVMs. SNPD 2012: 108-113 - 2011
- [c19]Catalina-Lucia Cocianu, Luminita State, Panayiotis M. Vlamos:
A New Method for Learning the Support Vector Machines. ICSOFT (2) 2011: 365-370 - 2009
- [c17]Catalina Cocianu, Luminita State, Panayiotis M. Vlamos, Doru Constantin, Corina Sararu:
PCA Supervised and Unsupervised Classifiers in Signal Processing. PRIS 2009: 61-70 - [c16]Luminita State, Catalina Cocianu, Doru Constantin, Corina Sararu, Panayiotis M. Vlamos:
Toward a Semi-supervised Approach in Classification based on Principal Directions. SIGMAP 2009: 68-73 - 2008
- [c15]Doru Constantin, Luminita State:
An Improved Algorithm for Estimating the ICA Model Concerning the Convergence Rate. AMDO 2008: 400-408 - [c14]Luminita State, Catalina Cocianu, Ion Rosca, Panayiotis M. Vlamos:
A New Learning Algorithm for Classification in the Reduced Space. ICEIS (2) 2008: 155-160 - [c13]Doru Constantin, Luminita State:
A Version of the FastICA Algorithm Based on the Secant Method Combined with Simple Iterations Method. ICISP 2008: 312-320 - [c12]Doru Constantin, Luminita State:
The FastICA Algorithm Based on Successive Approximations with Superior Convergence Rate. IIH-MSP 2008: 909-912 - [c11]Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Doru Constantin:
Neural Approaches to Image Compression/Decompression Using PCA based Learning Algorithms. PRIS 2008: 187-192 - [c10]Luminita State, Catalina Cocianu, Panayiotis M. Vlamos:
An unsupervised skeleton based method to discover the structure of the class system. RCIS 2008: 169-178 - [c9]Catalina Cocianu, Luminita State, Panayiotis M. Vlamos, Doru Constantin:
Decorrelation Techniques in Image Restoration. SIGMAP 2008: 193-196 - 2007
- [c8]Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Viorica Stefanescu:
A Connectionist Approach in Bayesian Classification. ICEIS (2) 2007: 185-190 - [c7]Catalina Cocianu, Luminita State, Ion Rosca, Panayiotis M. Vlamos:
A New Adaptive Classification Scheme Based on Skeleton Information. SIGMAP 2007: 85-92 - [c6]Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Doru Constantin:
Principal Directions-Based Algorithm for Classification Tasks. SYNASC 2007: 137-143 - 2006
- [c5]Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Viorica Stefanescu:
PCA-based data mining probabilistic and fuzzy approaches with applications in pattern recognition. ICSOFT (2) 2006: 55-60 - 2004
- [c4]Catalina Cocianu, Luminita State, Panayiotis M. Vlamos, Viorica Stefanescu:
On the Efficiency of a Certain Class of Noise Removal Algorithms in Solving Image Processing Tasks. ICINCO (3) 2004: 320-323 - [c3]Luminita State, Catalina Cocianu, Viorica Stefanescu, Panayiotis M. Vlamos:
A Neural Network Framework for Implementing the Bayesian Learning. ICINCO (3) 2004: 328-331 - 2002
- [c2]Catalina Cocianu, Luminita State, Panayiotis M. Vlamos:
On a Certain Class of Algorithms for Noise Removal in Image Processing: A Comparative Study. ITCC 2002: 111-116
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