Erzsébet Merényi

发表

Information extraction and knowledge discovery from high-dimensional and high-volume complex data sets through precision manifold learning

Erzsébet Merényi, William H. Farrand, Robert H. Brown, 2007 .

Automated Labeling of Materials in Hyperspectral Imagery

Erzsébet Merényi, Brian D. Bue, Beáta Csathó, 2010, IEEE Transactions on Geoscience and Remote Sensing.

Classification of hyperspectral imagery with neural networks: comparison to conventional tools

Erzsébet Merényi, William H. Farrand, James V. Taranik, 2014, EURASIP Journal on Advances in Signal Processing.

A Probabilistic Method for Pruning CADJ Graphs with Applications to SOM Clustering

Erzsébet Merényi, Joshua Taylor, E. Merényi, 2019, WSOM+.

Erzsébet Merényi, Brian D. Bue, B. Bue, 2013, IEEE Geoscience and Remote Sensing Letters.

Forbidden Magnification? I

Erzsébet Merényi, Abha Jain, 2004, ESANN.

Weighted differential topographic function: a refinement of topographic function

Lili Zhang, Erzsébet Merényi, 2006, ESANN.

Deep data: discovery and visualization Application to hyperspectral ALMA imagery

Erzsébet Merényi, Joshua Taylor, Andrea Isella, 2016, Proceedings of the International Astronomical Union.

Advances in computational intelligence and learning

Erzsébet Merényi, Michael Biehl, Fabrice Rossi, 2007, Neurocomputing.

SOM and MCODE methods of defining functional clusters in MRI of the brain

Erzsébet Merényi, Christof Karmonik, Robert G. Grossman, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit

Emilio Corchado, Erzsébet Merényi, Colin Fyfe, 2002, ICANN.

Foreword to the Special Issue on Machine Learning for Remote Sensing Data Processing

Erzsébet Merényi, Manuel Graña, Xiuping Jia, 2014, IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens..

Hyperspectral Image Analysis in Planetary Science and Astronomy

Erzsébet Merényi, 2014 .

Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016

Erzsébet Merényi, 2016, WSOM.

Min(d)ing the small details: discovery of critical knowledge through precision manifold learning, and application to onboard decision support

Lili Zhang, Erzsébet Merényi, Kadim Tasdemir, 2007, 2007 IEEE International Conference on System of Systems Engineering.

Using spatial correspondences for hyperspectral knowledge transfer: Evaluation on synthetic data

Erzsébet Merényi, Brian D. Bue, B. Bue, 2010, 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

The Sky Is Not the Limit

Erzsébet Merényi, 2014, WSOM.

Estimating the intrinsic dimensionality of hyperspectral images

Erzsébet Merényi, Jörg Bruske, 1999, ESANN.

Hyper-Spectral Satellite Images: Interval Methods May Be Helpful

Karen Villaverde, Erzsébet Merényi, Scott A. Starks, 1998, Reliab. Comput..

Cluster Analysis in Remote Sensing Spectral Imagery through Graph Representation and Advanced SOM Visualization

Erzsébet Merényi, Kadim Tasdemir, 2008, Discovery Science.

Tv Experiment on VEGA Mission: Image Processing Techniques and Some Results

Erzsébet Merényi, Ya. L. Ziman, Bradford A. Smith, 1986 .

The challenges in spectral image analysis: an introduction, and review of ANN approaches

Erzsébet Merényi, E. Merényi, 1999, ESANN.

Mapping surface materials on Mars from Mars Pathfinder spectral images with HYPEREYE

Erzsébet Merényi, William H. Farrand, Philip Tracadas, 2004, International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004..

Learning Highly Structured Manifolds: Harnessing the Power of SOMs

Lili Zhang, Erzsébet Merényi, Kadim Tasdemir, 2009, Similarity-Based Clustering.

Discovery from hyperspectral ALMA imagery with NeuroScope

Erzsébet Merényi, Andrea Isella, Loshua Taylor, 2018, 2018 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM).

Data topology visualization for the Self-Organizing Map

Erzsébet Merényi, Kadim Tasdemir, 2006, ESANN.

SOM-empowered graph segmentation for fast automatic clustering of large and complex data

Erzsébet Merényi, Joshua Taylor, E. Merényi, 2017, 2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM).

Intelligent information extraction to aid science decision making in autonomous space exploration

Erzsébet Merényi, William H. Farrand, Kadim Tasdemir, 2008, SPIE Defense + Commercial Sensing.

Fuzzy Labeled Self-Organizing Map for Classification of Spectra

Thomas Villmann, Erzsébet Merényi, Frank-Michael Schleif, 2007, IWANN.

The use of data topology in unsupervised clustering of high-dimensional data with self-organizing maps

Erzsébet Merényi, Kadim Tasdemir, 2008 .

Exploiting Data Topology in Visualization and Clustering of Self-Organizing Maps

Erzsébet Merényi, Kadim Tasdemir, E. Merényi, 2009, IEEE Transactions on Neural Networks.

Learning in the context of very high dimensional data (Dagstuhl Seminar 11341)

Thomas Villmann, Erzsébet Merényi, Alessandro Sperduti, 2011, Dagstuhl Reports.

Minimum Surface Bhattacharyya feature selection

Erzsébet Merényi, Michael J. Mendenhall, Jose Andres Gonzalez, 2009, 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

Explicit Magnification Control of Self-Organizing Maps for “Forbidden” Data

Thomas Villmann, Erzsébet Merényi, Abha Jain, 2007, IEEE Transactions on Neural Networks.

Forbidden magnification? II

Erzsébet Merényi, Abha Jain, E. Merényi, 2004, ESANN.

A novel scheme for the compression and classification of hyperspectral images

Bei Xie, Erzsébet Merényi, Tamal Bose, 2009, 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

SOM-based topology visualization for interactive analysis of high-dimensional large datasets

Erzsébet Merényi, Kadim Tasdemir, E. Merényi, 2012 .

The Effect of SOM Size and Similarity Measure on Identification of Functional and Anatomical Regions in fMRI Data

Erzsébet Merényi, Christof Karmonik, Robert G. Grossman, 2016, WSOM.

On the evaluation of synthetic hyperspectral imagery

Erzsébet Merényi, Michael J. Mendenhall, 2009, 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

Spectral Class Distinctions Observed in the MPF IMP SuperPan Using a Self Organizing Map

Erzsébet Merényi, William H. Farrand, Scott L. Murchie, 2005 .

Self-organizing ANNs for planetary surface composition research

Erzsébet Merényi, 1998, ESANN.

Parallel neural hardware: the time is right

Erzsébet Merényi, Ulrich Rückert, E. Merényi, 2012, ESANN.

An evaluation of class knowledge transfer from synthetic to real hyperspectral imagery

Erzsébet Merényi, Brian D. Bue, Beáta Csathó, 2011, 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Using Neural Networks to Classify Asteroid Spectra

Erzsébet Merényi, L. A. Lebofsky, Ellen Susanna Howell, 1991 .

Hyper- and Multispectral Visible and Near-Infrared Imaging Analysis

Erzsébet Merényi, Mario Parente, William H. Farrand, 2019 .

Neural maps in remote sensing image analysis

Thomas Villmann, Erzsébet Merényi, Barbara Hammer, 2003, Neural Networks.

Unmixing Hyperspectral Images with Fuzzy Supervised Self-Organizing Maps

Thomas Villmann, Erzsébet Merényi, William H. Farrand, 2012, ESANN.

A Validity Index for Prototype-Based Clustering of Data Sets With Complex Cluster Structures

Erzsébet Merényi, Kadim Tasdemir, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

gNBXe - a Reconfigurable Neuroprocessor for Various Types of Self-Organizing Maps

Erzsébet Merényi, Ulrich Rückert, Mario Porrmann, 2012, ESANN.

Empowering graph segmentation methods with SOMs and CONN similarity for clustering large and complex data

Erzsébet Merényi, Joshua Taylor, E. Merényi, 2019, Neural Computing and Applications.

Mining complex hyperspectral ALMA cubes for structure with neural machine learning

Erzsébet Merényi, Joshua Taylor, Andrea Isella, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

An SOM-Hybrid Supervised Model for the Prediction of Underlying Physical Parameters from Near-Infrared Planetary Spectra

Lili Zhang, Erzsébet Merényi, Eliot F. Young, 2009, WSOM.

Automated labeling of segmented hyperspectral imagery via spectral matching

Erzsébet Merényi, Brian D. Bue, Beáta Csathó, 2009, 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

Using spatial characteristics to aid automation of SOM segmentation of functional image data

Erzsébet Merényi, Robert G. Grossman, Patrick O'Driscoll, 2017, 2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM).

GENERALIZED RELEVANCE LEARNING VECTOR QUANTIZATION FOR CLASSIFICATION-DRIVEN FEATURE EXTRACTION FROM HYPERSPECTRAL DATA

Erzsébet Merényi, Michael J. Mendenhall, M. Mendenhall, 2006 .

Class imaging of hyperspectral satellite remote sensing data using FLSOM

Thomas Villmann, Erzsébet Merényi, Frank-Michael Schleif, 2007 .

Learning Multiple Latent Variables with Self-Organizing Maps

Lili Zhang, Erzsébet Merényi, 2010, 2010 IEEE International Conference on Granular Computing.

A reconfigurable neuroprocessor for self-organizing feature maps

Erzsébet Merényi, Ulrich Rückert, Mario Porrmann, 2013, Neurocomputing.

Machine learning approches and pattern recognition for spectral data

Thomas Villmann, Erzsébet Merényi, Udo Seiffert, 2008, ESANN.

A Parameterless t-SNE for Faithful Cluster Embeddings from Prototype-based Learning and CONN Similarity

Erzsébet Merényi, Josh Taylor, 2021, ESANN 2021 proceedings.