Luminita State

24 papers B 1C 3Misc 2Journal 4Unranked 14
YearRankTypeTitle / Venue / Authors
2013 J jnl
Artificial Intelligence Applications in Biomedicine.
Adv. Artif. Intell.
Panayiotis M. Vlamos, Konstantinos Lefkimmiatis, Catalina Cocianu, Luminita State, Zhiyuan Luo
2012 C conf
Heuristic Attempts to Improve the Generalization Capacities in Learning SVMs.
SNPD
Luminita State, Catalina Cocianu, Marinela Mircea
2011 J jnl
A New Linear Classifier Based on Combining Supervised and Unsupervised Techniques.
Int. J. Comput. Commun. Control
Luminita State, Iuliana Paraschiv-Munteanu
2011 — conf
A New Method for Learning the Support Vector Machines.
ICSOFT (2)
Catalina-Lucia Cocianu, Luminita State, Panayiotis M. Vlamos
2011 Misc conf
A Probabilistic Model-Free Approach in Learning Multivariate Noisy Linear Systems.
SYNASC
Luminita State, Iuliana Paraschiv-Munteanu
2011 J jnl
Cognitive Binary Logic - The Natural Unified Formal Theory of Propositional Binary Logic
CoRR
Nicolaie Popescu-Bodorin, Luminita State
2009 — conf
PCA Supervised and Unsupervised Classifiers in Signal Processing.
PRIS
Catalina Cocianu, Luminita State, Panayiotis M. Vlamos, Doru Constantin, Corina Sararu
2009 — conf
Toward a Semi-supervised Approach in Classification based on Principal Directions.
SIGMAP
Luminita State, Catalina Cocianu, Doru Constantin, Corina Sararu, Panayiotis M. Vlamos
2008 — conf
A New Learning Algorithm for Classification in the Reduced Space.
ICEIS (2)
Luminita State, Catalina Cocianu, Ion Rosca, Panayiotis M. Vlamos
2008 C conf
A Version of the FastICA Algorithm Based on the Secant Method Combined with Simple Iterations Method.
ICISP
Doru Constantin, Luminita State
2008 — conf
An Improved Algorithm for Estimating the ICA Model Concerning the Convergence Rate.
AMDO
Doru Constantin, Luminita State
2008 B conf
An unsupervised skeleton based method to discover the structure of the class system.
RCIS
Luminita State, Catalina Cocianu, Panayiotis M. Vlamos
2008 — conf
Decorrelation Techniques in Image Restoration.
SIGMAP
Catalina Cocianu, Luminita State, Panayiotis M. Vlamos, Doru Constantin
2008 — conf
Neural Approaches to Image Compression/Decompression Using PCA based Learning Algorithms.
PRIS
Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Doru Constantin
2008 — conf
The FastICA Algorithm Based on Successive Approximations with Superior Convergence Rate.
IIH-MSP
Doru Constantin, Luminita State
2007 — conf
A Connectionist Approach in Bayesian Classification.
ICEIS (2)
Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Viorica Stefanescu
2007 — conf
A New Adaptive Classification Scheme Based on Skeleton Information.
SIGMAP
Catalina Cocianu, Luminita State, Ion Rosca, Panayiotis M. Vlamos
2007 Misc conf
Principal Directions-Based Algorithm for Classification Tasks.
SYNASC
Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Doru Constantin
2006 — conf
PCA-based data mining probabilistic and fuzzy approaches with applications in pattern recognition.
ICSOFT (2)
Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Viorica Stefanescu
2004 — conf
A Neural Network Framework for Implementing the Bayesian Learning.
ICINCO (3)
Luminita State, Catalina Cocianu, Viorica Stefanescu, Panayiotis M. Vlamos
2004 — conf
On the Efficiency of a Certain Class of Noise Removal Algorithms in Solving Image Processing Tasks.
ICINCO (3)
Catalina Cocianu, Luminita State, Panayiotis M. Vlamos, Viorica Stefanescu
2002 — conf
On a Certain Class of Algorithms for Noise Removal in Image Processing: A Comparative Study.
ITCC
Catalina Cocianu, Luminita State, Panayiotis M. Vlamos
1996 J jnl
Evolutionary/genetic programming in restricted domains.
Neural Parallel Sci. Comput.
Luminita State, Stuart Rubin, Radu State
1995 C conf
And/Or Trees for Knowledge Representation.
ECSQARU
Luminita State, Radu State