Luminita State

Publication Activity (10 Years)

Years Active: 1995-2013
Publications (10 Years): 0

Top Topics

Inductive Inference

Learning Problems

Machine Intelligence

Top Venues

Adv. Artif. Intell.

Publications

Panayiotis M. Vlamos, Konstantinos Lefkimmiatis, Catalina Cocianu, Luminita State, Zhiyuan Luo
Artificial Intelligence Applications in Biomedicine. Adv. Artif. Intell. 2013 (2013)
Luminita State, Catalina Cocianu, Marinela Mircea
Heuristic Attempts to Improve the Generalization Capacities in Learning SVMs. SNPD (2012)
Luminita State, Iuliana Paraschiv-Munteanu
A New Linear Classifier Based on Combining Supervised and Unsupervised Techniques. Int. J. Comput. Commun. Control 6 (1) (2011)
Catalina-Lucia Cocianu, Luminita State, Panayiotis M. Vlamos
A New Method for Learning the Support Vector Machines. ICSOFT (2) (2011)
Luminita State, Iuliana Paraschiv-Munteanu
A Probabilistic Model-Free Approach in Learning Multivariate Noisy Linear Systems. SYNASC (2011)
Nicolaie Popescu-Bodorin, Luminita State
Cognitive Binary Logic - The Natural Unified Formal Theory of Propositional Binary Logic CoRR (2011)
Luminita State, Catalina Cocianu, Doru Constantin, Corina Sararu, Panayiotis M. Vlamos
Toward a Semi-supervised Approach in Classification based on Principal Directions. SIGMAP (2009)
Catalina Cocianu, Luminita State, Panayiotis M. Vlamos, Doru Constantin, Corina Sararu
PCA Supervised and Unsupervised Classifiers in Signal Processing. PRIS (2009)
Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Doru Constantin
Neural Approaches to Image Compression/Decompression Using PCA based Learning Algorithms. PRIS (2008)
Doru Constantin, Luminita State
A Version of the FastICA Algorithm Based on the Secant Method Combined with Simple Iterations Method. ICISP (2008)
Luminita State, Catalina Cocianu, Ion Rosca, Panayiotis M. Vlamos
A New Learning Algorithm for Classification in the Reduced Space. ICEIS (2) (2008)
Doru Constantin, Luminita State
The FastICA Algorithm Based on Successive Approximations with Superior Convergence Rate. IIH-MSP (2008)
Catalina Cocianu, Luminita State, Panayiotis M. Vlamos, Doru Constantin
Decorrelation Techniques in Image Restoration. SIGMAP (2008)
Luminita State, Catalina Cocianu, Panayiotis M. Vlamos
An unsupervised skeleton based method to discover the structure of the class system. RCIS (2008)
Doru Constantin, Luminita State
An Improved Algorithm for Estimating the ICA Model Concerning the Convergence Rate. AMDO (2008)
Catalina Cocianu, Luminita State, Ion Rosca, Panayiotis M. Vlamos
A New Adaptive Classification Scheme Based on Skeleton Information. SIGMAP (2007)
Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Doru Constantin
Principal Directions-Based Algorithm for Classification Tasks. SYNASC (2007)
Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Viorica Stefanescu
A Connectionist Approach in Bayesian Classification. ICEIS (2) (2007)
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)
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)
Luminita State, Catalina Cocianu, Viorica Stefanescu, Panayiotis M. Vlamos
A Neural Network Framework for Implementing the Bayesian Learning. ICINCO (3) (2004)
Catalina Cocianu, Luminita State, Panayiotis M. Vlamos
On a Certain Class of Algorithms for Noise Removal in Image Processing: A Comparative Study. ITCC (2002)
Luminita State, Stuart Rubin, Radu State
Evolutionary/genetic programming in restricted domains. Neural Parallel Sci. Comput. 4 (4) (1996)
Luminita State, Radu State
And/Or Trees for Knowledge Representation. ECSQARU (1995)