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Catalina Cocianu
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2020 – today
- 2023
- [j3]Catalina-Lucia Cocianu
, Cristian Razvan Uscatu, Alexandru Stan
Evolutionary Image Registration: A Review. Sensors 23(2): 967 (2023) - 2020
- [j2]Catalina-Lucia Cocianu
Firefly-Based Approaches of Image Recognition. Symmetry 12(6): 881 (2020)
2010 – 2019
- 2019
- [c18]Catalina-Lucia Cocianu
New Attempts in Solving Image Recognition Tasks. ICIST 2019: 463-474 - 2018
- [c17]Catalina Cocianu
New Attempts in Binary Image Registration. CoDIT 2018: 253-258 - [c16]Catalina Cocianu, Alexandru Stan:
Towards an Evolution Strategy Approach in Binary Image Registration for Solving Digital Signature Recognition Tasks. ICEIS (1) 2018: 469-476 - 2013
- [j1]Panayiotis M. Vlamos
Artificial Intelligence Applications in Biomedicine. Adv. Artif. Intell. 2013: 219137:1-219137:2 (2013) - 2012
- [c15]Luminita State, Catalina Cocianu
Heuristic Attempts to Improve the Generalization Capacities in Learning SVMs. SNPD 2012: 108-113 - 2011
- [c14]Catalina-Lucia Cocianu, Luminita State, Panayiotis M. Vlamos:
A New Method for Learning the Support Vector Machines. ICSOFT (2) 2011: 365-370
2000 – 2009
- 2009
- [c13]Catalina Cocianu, Luminita State, Panayiotis M. Vlamos, Doru Constantin, Corina Sararu:
PCA Supervised and Unsupervised Classifiers in Signal Processing. PRIS 2009: 61-70 - [c12]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
- [c11]Luminita State, Catalina Cocianu, Ion Rosca, Panayiotis M. Vlamos:
A New Learning Algorithm for Classification in the Reduced Space. ICEIS (2) 2008: 155-160 - [c10]Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Doru Constantin:
Neural Approaches to Image Compression/Decompression Using PCA based Learning Algorithms. PRIS 2008: 187-192 - [c9]Luminita State, Catalina Cocianu
An unsupervised skeleton based method to discover the structure of the class system. RCIS 2008: 169-178 - [c8]Catalina Cocianu, Luminita State, Panayiotis M. Vlamos, Doru Constantin:
Decorrelation Techniques in Image Restoration. SIGMAP 2008: 193-196 - 2007
- [c7]Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Viorica Stefanescu:
A Connectionist Approach in Bayesian Classification. ICEIS (2) 2007: 185-190 - [c6]Catalina Cocianu, Luminita State, Ion Rosca, Panayiotis M. Vlamos:
A New Adaptive Classification Scheme Based on Skeleton Information. SIGMAP 2007: 85-92 - [c5]Luminita State, Catalina Cocianu
Principal Directions-Based Algorithm for Classification Tasks. SYNASC 2007: 137-143 - 2006
- [c4]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
- [c3]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 - [c2]Luminita State, Catalina Cocianu, Viorica Stefanescu, Panayiotis M. Vlamos:
A Neural Network Framework for Implementing the Bayesian Learning. ICINCO (3) 2004: 328-331 - 2002
- [c1]Catalina Cocianu
On a Certain Class of Algorithms for Noise Removal in Image Processing: A Comparative Study. ITCC 2002: 111-116
Coauthor Index
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