Luminita State

According to our database, Luminita State authored at least 24 papers between 1995 and 2013.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2013

Artificial Intelligence Applications in Biomedicine.

Panayiotis M. Vlamos, Konstantinos Lefkimmiatis, Catalina Cocianu, Luminita State, Zhiyuan Luo

Adv. Artif. Intell., 2013

2012

Heuristic Attempts to Improve the Generalization Capacities in Learning SVMs.

Luminita State, Catalina Cocianu, Marinela Mircea

Proceedings of the 13th ACIS International Conference on Software Engineering, 2012

2011

A New Linear Classifier Based on Combining Supervised and Unsupervised Techniques.

Luminita State, Iuliana Paraschiv-Munteanu

Int. J. Comput. Commun. Control, 2011

Cognitive Binary Logic - The Natural Unified Formal Theory of Propositional Binary Logic

Nicolaie Popescu-Bodorin, Luminita State

CoRR, 2011

A Probabilistic Model-Free Approach in Learning Multivariate Noisy Linear Systems.

Luminita State, Iuliana Paraschiv-Munteanu

Proceedings of the 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2011

A New Method for Learning the Support Vector Machines.

Catalina-Lucia Cocianu, Luminita State, Panayiotis M. Vlamos

Proceedings of the ICSOFT 2011, 2011

2009

Toward a Semi-supervised Approach in Classification based on Principal Directions.

Luminita State, Catalina Cocianu, Doru Constantin, Corina Sararu, Panayiotis M. Vlamos

Proceedings of the SIGMAP 2009, 2009

PCA Supervised and Unsupervised Classifiers in Signal Processing.

Catalina Cocianu, Luminita State, Panayiotis M. Vlamos, Doru Constantin, Corina Sararu

Proceedings of the Pattern Recognition in Information Systems, 2009

2008

Decorrelation Techniques in Image Restoration.

Catalina Cocianu, Luminita State, Panayiotis M. Vlamos, Doru Constantin

Proceedings of the SIGMAP 2008, 2008

An unsupervised skeleton based method to discover the structure of the class system.

Luminita State, Catalina Cocianu, Panayiotis M. Vlamos

Proceedings of the IEEE International Conference on Research Challenges in Information Science, 2008

Neural Approaches to Image Compression/Decompression Using PCA based Learning Algorithms.

Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Doru Constantin

Proceedings of the Pattern Recognition in Information Systems, 2008

The FastICA Algorithm Based on Successive Approximations with Superior Convergence Rate.

Doru Constantin, Luminita State

Proceedings of the 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2008), 2008

A Version of the FastICA Algorithm Based on the Secant Method Combined with Simple Iterations Method.

Doru Constantin, Luminita State

Proceedings of the Image and Signal Processing - 3rd International Conference, 2008

A New Learning Algorithm for Classification in the Reduced Space.

Luminita State, Catalina Cocianu, Ion Rosca, Panayiotis M. Vlamos

Proceedings of the ICEIS 2008, 2008

An Improved Algorithm for Estimating the ICA Model Concerning the Convergence Rate.

Doru Constantin, Luminita State

Proceedings of the Articulated Motion and Deformable Objects, 5th International Conference, 2008

2007

Principal Directions-Based Algorithm for Classification Tasks.

Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Doru Constantin

Proceedings of the Ninth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2007

A New Adaptive Classification Scheme Based on Skeleton Information.

Catalina Cocianu, Luminita State, Ion Rosca, Panayiotis M. Vlamos

Proceedings of the SIGMAP 2007, 2007

A Connectionist Approach in Bayesian Classification.

Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Viorica Stefanescu

Proceedings of the ICEIS 2007, 2007

2006

PCA-based data mining probabilistic and fuzzy approaches with applications in pattern recognition.

Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Viorica Stefanescu

Proceedings of the ICSOFT 2006, 2006

2004

A Neural Network Framework for Implementing the Bayesian Learning.

Luminita State, Catalina Cocianu, Viorica Stefanescu, Panayiotis M. Vlamos

Proceedings of the ICINCO 2004, 2004

On the Efficiency of a Certain Class of Noise Removal Algorithms in Solving Image Processing Tasks.

Catalina Cocianu, Luminita State, Panayiotis M. Vlamos, Viorica Stefanescu

Proceedings of the ICINCO 2004, 2004

2002

On a Certain Class of Algorithms for Noise Removal in Image Processing: A Comparative Study.

Catalina Cocianu, Luminita State, Panayiotis M. Vlamos

Proceedings of the 2002 International Symposium on Information Technology (ITCC 2002), 2002

1996

Evolutionary/genetic programming in restricted domains.

Luminita State, Stuart Rubin, Radu State

Neural Parallel Sci. Comput., 1996

1995

And/Or Trees for Knowledge Representation.

Luminita State, Radu State

Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1995