GTM: the generative topographic mapping

A Hierarchical Latent Variable Model for Data Visualization

IEEE Transactions on Pattern Analysis and Machine Intelligence

The Latent Variable Data Model for Exploratory DataAnalysis and Visualisation: A Generalisation of theNonlinear Infomax Algorithm

Neural Processing Letters

A stochastic self-organizing map for proximity data

Neural Computation

A unifying review of linear Gaussian models

Neural Computation

Mixtures of probabilistic principal component analyzers

Neural Computation

Independent factor analysis

Neural Computation

Mode-Finding for Mixtures of Gaussian Distributions

IEEE Transactions on Pattern Analysis and Machine Intelligence

A Unified Model for Probabilistic Principal Surfaces

IEEE Transactions on Pattern Analysis and Machine Intelligence

Bayesian Sampling and Ensemble Learning in Generative Topographic Mapping

Neural Processing Letters

A Combined Latent Class and Trait Model for the Analysis and Visualization of Discrete Data

IEEE Transactions on Pattern Analysis and Machine Intelligence

Generative probability density model in the self-organizing map

Self-Organizing neural networks

Hierarchical GTM: Constructing Localized Nonlinear Projection Manifolds in a Principled Way

IEEE Transactions on Pattern Analysis and Machine Intelligence

A dimensionality reduction approach to modeling protein flexibility

Proceedings of the sixth annual international conference on Computational biology

Cluster Analysis of Biomedical Image Time-Series

International Journal of Computer Vision

Blind Source Separation and Equiprobabilistic Topographic Maps

Journal of VLSI Signal Processing Systems

Monitoring the Formation of Kernel-Based Topographic Maps with Application to Hierarchical Clustering of Music Signals

Journal of VLSI Signal Processing Systems

A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams

Journal of Intelligent Information Systems

A review of evidence of health benefit from artificial neural networks in medical intervention

Neural Networks

Transformation-Invariant Clustering Using the EM Algorithm

IEEE Transactions on Pattern Analysis and Machine Intelligence

Unsupervised learning in neural computation

Theoretical Computer Science - Natural computing

A k-segments algorithm for finding principal curves

Pattern Recognition Letters

Kernel-based topographic map formation by local density modeling

Neural Computation

Joint entropy maximization in kernel-based topographic maps

Neural Computation

Content-based organization and visualization of music archives

Proceedings of the tenth ACM international conference on Multimedia

On the Emulation of Kohonen's Self-Organization via Single-Map Metropolis-Hastings Algorithms

ICCS '01 Proceedings of the International Conference on Computational Science-Part II

Using Directional Curvatures to Visualize Folding Patterns of the GTM Projection Manifolds

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Correlation Visualization of High Dimensional Data Using Topographic Maps

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing Maps

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

A Soft k-Segments Algorithm for Principal Curves

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Neighborhood Preservation in Nonlinear Projection Methods: An Experimental Study

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Evolving High-Posterior Self-Organizing Maps

IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I

Regularized Principal Manifolds

EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory

Evolution Map: Modeling State Transition of Typhoon Image Sequences by Spatio-Temporal Clustering

DS '02 Proceedings of the 5th International Conference on Discovery Science

Speech Dimensionality Analysis on Hypercubical Self-Organizing Maps

Neural Processing Letters

Data visualisation and manifold mapping using the ViSOM

Neural Networks - New developments in self-organizing maps

Kernel-based topographic map formation achieved with an information-theoretic approach

Neural Networks - New developments in self-organizing maps

Self-Organizing Latent Lattice Models for Temporal Gene Expression Profiling

Machine Learning

A taxonomy for spatiotemporal connectionist networks revisited: the unsupervised case

Neural Computation

Regularized principal manifolds

The Journal of Machine Learning Research

Think globally, fit locally: unsupervised learning of low dimensional manifolds

The Journal of Machine Learning Research

Visualizing changes in the structure of data for exploratory feature selection

Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining

Knowing a tree from the forest: art image retrieval using a society of profiles

MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia

Application of self-organizing maps to clustering of high-frequency financial data

ACSW Frontiers '04 Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 32

Temporally asymmetric learning supports sequence processing in multi-winner self-organizing maps

Neural Computation

A generative probabilistic approach to visualizing sets of symbolic sequences

Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining

Neural maps in remote sensing image analysis

Neural Networks - 2003 Special issue: Neural network analysis of complex scientific data: Astronomy and geosciences

Outlier detection in scatterometer data: neural network approaches

Neural Networks - 2003 Special issue: Neural network analysis of complex scientific data: Astronomy and geosciences

Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization

IEEE Transactions on Knowledge and Data Engineering

Gas identification using density models

Pattern Recognition Letters

Principal Surfaces from Unsupervised Kernel Regression

IEEE Transactions on Pattern Analysis and Machine Intelligence

Visualizing Global Manifold Based on Distributed Local Data Abstractions

ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining

Data Driven Image Models through Continuous Joint Alignment

IEEE Transactions on Pattern Analysis and Machine Intelligence

Incremental Nonlinear Dimensionality Reduction by Manifold Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence

Class distribution on SOM surfaces for feature extraction and object retrieval

Neural Networks - 2004 Special issue: New developments in self-organizing systems

Making sense of sparse rating data in collaborative filtering via topographic organization of user preference patterns

Neural Networks - 2004 Special issue: New developments in self-organizing systems

Self-organizing maps and clustering methods for matrix data

Neural Networks - 2004 Special issue: New developments in self-organizing systems

Exploring Music Collections by Browsing Different Views

Computer Music Journal

Magnification Control in Self-Organizing Maps and Neural Gas

Neural Computation

Topographic Independent Component Analysis

Neural Computation

Auto-SOM: Recursive Parameter Estimation for Guidance of Self-Organizing Feature Maps

Neural Computation

A General Probability Estimation Approach for Neural Computation

Neural Computation

The Bayesian Evidence Scheme for Regularizing Probability-Density Estimating Neural Networks

Neural Computation

Density Estimation by Mixture Models with Smoothing Priors

Neural Computation

Local distance preservation in the GP-LVM through back constraints

ICML '06 Proceedings of the 23rd international conference on Machine learning

Visual data mining using principled projection algorithms and information visualization techniques

Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining

Automatic parameter selection for a k-segments algorithm for computing principal curves

Pattern Recognition Letters

Granular self-organizing map (grSOM) for structure identification

Neural Networks

Determining feature relevance for the grouping of motor unit action potentials through generative topographic mapping

MIC'06 Proceedings of the 25th IASTED international conference on Modeling, indentification, and control

Characterization of atypical virtual campus usage behavior through robust generative relevance analysis

WBE'06 Proceedings of the 5th IASTED international conference on Web-based education

Advanced visualization of self-organizing maps with vector fields

Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05

Graph-Based Abstraction for Privacy Preserving Manifold Visualization

WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology

Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models

The Journal of Machine Learning Research

Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval

Pattern Recognition

Word segmentation of handwritten text using supervised classification techniques

Applied Soft Computing

Missing data imputation through GTM as a mixture of t-distributions

Neural Networks

Nonlinear underdetermined blind signal separation using Bayesian neural network approach

Digital Signal Processing

Exploring the ecological status of human altered streams through Generative Topographic Mapping

Environmental Modelling & Software

Component-based visual clustering using the self-organizing map

Neural Networks

Variants of unsupervised kernel regression: General cost functions

Neurocomputing

Two topographic maps for data visualisation

Data Mining and Knowledge Discovery

Predictive Modelling of Heterogeneous Sequence Collections by Topographic Ordering of Histories

Machine Learning

Hierarchical Gaussian process latent variable models

Proceedings of the 24th international conference on Machine learning

MISEP Method for Postnonlinear Blind Source Separation

Neural Computation

Growing kernel-based self-organized maps trained with supervised bias

Intelligent Data Analysis

On the use of self-organizing maps for clustering and visualization

Intelligent Data Analysis

Supervised model-based visualization of high-dimensional data

Intelligent Data Analysis

Clustering and visualization approaches for human cell cycle gene expression data analysis

International Journal of Approximate Reasoning

Mutual information clustering for efficient mining of fuzzy association rules with application to gene expression data analysis

ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers

Identifying a hierarchy of bipartite subgraphs for web site abstraction

Web Intelligence and Agent Systems

Local vs global interactions in clustering algorithms: Advances over K-means

International Journal of Knowledge-based and Intelligent Engineering Systems

Cluster-based visualisation with scatter matrices

Pattern Recognition Letters

Probabilistic latent semantic visualization: topic model for visualizing documents

Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining

Advances in clustering and visualization of time series using GTM through time

Neural Networks

Topology perserving mappings using cross entropy adaptation

AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases

Clustering with alternative similarity functions

AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases

Robust Visual Mining of Data with Error Information

PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases

On the Initialization of Two-Stage Clustering with Class-GTM

Current Topics in Artificial Intelligence

Exploratory Characterization of Outliers in a Multi-centre 1H-MRS Brain Tumour Dataset

KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II

Multiple Manifolds Learning Framework Based on Hierarchical Mixture Density Model

ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II

Nonlinear Principal Manifolds --- Adaptive Hybrid Learning Approaches

HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems

Unfolding the Manifold in Generative Topographic Mapping

HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems

Geodesic Generative Topographic Mapping

IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence

Extraction of curvilinear features from noisy point patterns using principal curves

Pattern Recognition Letters

A novel construction of connectivity graphs for clustering and visualization

WSEAS Transactions on Computers

On the Improvement of the Mapping Trustworthiness and Continuity of a Manifold Learning Model

IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning

Nonlinear data projection on non-Euclidean manifolds with controlled trade-off between trustworthiness and continuity

Neurocomputing

Self organized mapping of data clusters to neuron groups

Neural Networks

SOM of SOMs

Neural Networks

Document analysis and visualization with zero-inflated poisson

Data Mining and Knowledge Discovery

Immediate Reward Reinforcement Learning for Clustering and Topology Preserving Mappings

Similarity-Based Clustering

Visualization of Structured Data via Generative Probabilistic Modeling

Similarity-Based Clustering

Learning Highly Structured Manifolds: Harnessing the Power of SOMs

Similarity-Based Clustering

On the improvement of brain tumour data clustering using class information

Proceedings of the 2006 conference on STAIRS 2006: Proceedings of the Third Starting AI Researchers' Symposium

Manifold Learning for Gender Classification from Face Sequences

ICB '09 Proceedings of the Third International Conference on Advances in Biometrics

A granular computing framework for self-organizing maps

Neurocomputing

RankVisu: Mapping from the neighborhood network

Neurocomputing

Outlier exploration and diagnostic classification of a multi-centre 1H-MRS brain tumour database

Neurocomputing

Learning nonlinear manifolds based on mixtures of localized linear manifolds under a self-organizing framework

Neurocomputing

Comparative Evaluation of Semi-supervised Geodesic GTM

HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems

Screening Paper Runnability in a Web-Offset Pressroom by Data Mining

ICDM '09 Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects

A Probabilistic Approach for Constrained Clustering with Topological Map

MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition

Principal manifold learning by sparse grids

Computing

Manifold denoising as preprocessing for finding natural representations of data

AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2

Finding approximate POMDP solutions through belief compression

Journal of Artificial Intelligence Research

Metric properties of structured data visualizations through generative probabilistic modeling

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

Model-based clustering by probabilistic self-organizing maps

IEEE Transactions on Neural Networks

Probabilistic PCA self-organizing maps

IEEE Transactions on Neural Networks

Multivariate Student-t self-organizing maps

Neural Networks

Semi-supervised geodesic Generative Topographic Mapping

Pattern Recognition Letters

Topographic Mapping of Astronomical Light Curves via a Physically Inspired Probabilistic Model

ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I

Intrinsic dimensionality estimation and dimensionality reduction through scale space filtering

DSP'09 Proceedings of the 16th international conference on Digital Signal Processing

From variable weighting to cluster characterization in topographic unsupervised learning

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

3D Human Motion Tracking with a Coordinated Mixture of Factor Analyzers

International Journal of Computer Vision

Beyond 2D-grids: a dependence maximization view on image browsing

Proceedings of the international conference on Multimedia information retrieval

Self-organizing mixture models

Neurocomputing

Unsupervised recursive sequence processing

Neurocomputing

Robust analysis of MRS brain tumour data using t-GTM

Neurocomputing

Active curve axis Gaussian mixture models

Pattern Recognition

Optimizing an organized modularity measure for topographic graph clustering: A deterministic annealing approach

Neurocomputing

Efficient locally linear embeddings of imperfect manifolds

MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition

On the number of modes of a Gaussian mixture

Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision

The infomin criterion: an information theoretic unifying objective function for topographic mappings

ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing

Extracting user preferences by GTM for aiGA weight tuning in unit selection text-to-speech synthesis

IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks

Method of motion data processing based on manifold learning

Edutainment'07 Proceedings of the 2nd international conference on Technologies for e-learning and digital entertainment

On the influence of class information in the two-stage clustering of a human brain tumour dataset

MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence

Stochastic weights reinforcement learning for exploratory data analysis

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

Variational GTM

IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning

Visualising and clustering video data

IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning

Clustering with reinforcement learning

IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning

Data management by self-organizing maps

WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers

Semi-supervised outcome prediction for a type of human brain tumour using partially labeled MRS information

IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning

Adaptive nonlinear manifolds and their applications to pattern recognition

Information Sciences: an International Journal

Manifold learning for video-to-video face recognition

BioID_MultiComm'09 Proceedings of the 2009 joint COST 2101 and 2102 international conference on Biometric ID management and multimodal communication

Relevance units latent variable model and nonlinear dimensionality reduction

IEEE Transactions on Neural Networks

Sparse non-Gaussian component analysis

IEEE Transactions on Information Theory

Automatic configuration of spectral dimensionality reduction methods

Pattern Recognition Letters

High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis

CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing

Dimension reduction and visualization of large high-dimensional data via interpolation

Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing

Visualizing dissimilarity data using generative topographic mapping

KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence

Evolution strategies for objective functions with locally correlated variables

IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning

Probabilistic self-organizing maps for continuous data

IEEE Transactions on Neural Networks

Generative topographic mapping for dimension reduction in engineering design

LION'10 Proceedings of the 4th international conference on Learning and intelligent optimization

Gaussian mixture modeling with Gaussian process latent variable models

Proceedings of the 32nd DAGM conference on Pattern recognition

Manifold learning for object tracking with multiple motion dynamics

ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III

Screening web breaks in a pressroom by soft computing

Applied Soft Computing

Particle swarm optimization in exploratory data analysis

IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II

Planar arrangement of high-dimensional biomedical data sets by isomap coordinates

CBMS'03 Proceedings of the 16th IEEE conference on Computer-based medical systems

Nearest manifold approach for face recognition

FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition

Relational generative topographic mapping

Neurocomputing

Relevance learning in generative topographic mapping

Neurocomputing

A variational Bayesian approach for the robust analysis of the cortical silent period from EMG recordings of brain stroke patients

Neurocomputing

Learning appearance and transparency manifolds of occluded objects in layers

CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition

Manifold elastic net: a unified framework for sparse dimension reduction

Data Mining and Knowledge Discovery

Divergence-based vector quantization

Neural Computation

An application of a self-organizing model to the design of urban transport networks

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Evolutionary neural networks for practical applications

Learning latent variable models from distributed and abstracted data

Information Sciences: an International Journal

Matching the dimensionality of maps with that of the data

SMO'05 Proceedings of the 5th WSEAS international conference on Simulation, modelling and optimization

Tight clusters and smooth manifolds with the harmonic topographic map

SMO'05 Proceedings of the 5th WSEAS international conference on Simulation, modelling and optimization

Quantization errors in the harmonic topographic mapping

SIP'06 Proceedings of the 5th WSEAS international conference on Signal processing

Clustering with kernel-based self-organized maps trained with supervised bias

SIP'06 Proceedings of the 5th WSEAS international conference on Signal processing

Local vs global models in pong

ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II

Incremental manifold learning by spectral embedding methods

Pattern Recognition Letters

Front end analysis of speech recognition: a review

International Journal of Speech Technology

Topographic mapping of dissimilarity data

WSOM'11 Proceedings of the 8th international conference on Advances in self-organizing maps

Linear time heuristics for topographic mapping of dissimilarity data

IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning

Multi-layer topology preserving mapping for K-means clustering

IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning

Development of a GTM-based patent map for identifying patent vacuums

Expert Systems with Applications: An International Journal

Learning graphical models of images, videos and their spatial transformations

UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence

Prototype-based classification of dissimilarity data

IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X

Modelling the population distribution in multi-objective optimization by generative topographic mapping

PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature

Simultaneous model-based clustering and visualization in the Fisher discriminative subspace

Statistics and Computing

On class visualisation for high dimensional data: exploring scientific data sets

DS'06 Proceedings of the 9th international conference on Discovery Science

Assessment of an unsupervised feature selection method for generative topographic mapping

ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II

A leave-k-out cross-validation scheme for unsupervised kernel regression

ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II

Missing data in kernel PCA

ECML'06 Proceedings of the 17th European conference on Machine Learning

NMF with loggabor wavelets for visualization

CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns

Riemannian manifold learning for nonlinear dimensionality reduction

ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I

Differential priors for elastic nets

IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning

The topographic product of experts

ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I

Statistical properties of lattices affect topographic error in self-organizing maps

ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I

Cohort-based kernel visualisation with scatter matrices

Pattern Recognition

A novel dimension reduction procedure for searching non-gaussian subspaces

ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation

Estimating fractal intrinsic dimension from the neighborhood

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I

Twinned topographic maps for decision making in the cockpit

KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II

Supervised learning for classification

FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II

Probabilistic principal surface classifier

FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II

Questionnaire- versus voice-based screening for laryngeal disorders

Expert Systems with Applications: An International Journal

Low-Dimensional facial image representation using FLD and MDS

ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I

Guiding local regression using visualisation

Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning

Unified locally linear embedding and linear discriminant analysis algorithm (ULLELDA) for face recognition

SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication

Comparative assessment of the robustness of missing data imputation through generative topographic mapping

IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems

A general framework for dimensionality-reducing data visualization mapping

Neural Computation

An accurate MDS-Based algorithm for the visualization of large multidimensional datasets

ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing

Relational extensions of learning vector quantization

ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II

Simultaneous pattern and variable weighting during topological clustering

ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I

Weighted topological clustering for categorical data

ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I

Time series relevance determination through a topology-constrained hidden markov model

IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning

The topographic neural gas

IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning

A family of novel clustering algorithms

IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning

One-to-many neural network mapping techniques for face image synthesis

Expert Systems with Applications: An International Journal

Vector quantization based approximate spectral clustering of large datasets

Pattern Recognition

Auxiliary variational information maximization for dimensionality reduction

SLSFS'05 Proceedings of the 2005 international conference on Subspace, Latent Structure and Feature Selection

Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning

Foundations and Trends® in Computer Graphics and Vision

Dimensionality reduction via compressive sensing

Pattern Recognition Letters

Using Kohonen maps of Chinese morphological families to visualize the interplay of morphology and semantics in Chinese

ROCLING '11 ROCLING 2011 Poster Papers

Approximation techniques for clustering dissimilarity data

Neurocomputing

Ensembles of probabilistic principal surfaces and competitive evolution on data: two different approaches to data classification

ADA'04 Proceedings of the 3rd international conference on Astronomical Data Analysis

Visualising many-objective populations

Proceedings of the 14th annual conference companion on Genetic and evolutionary computation

Nonlinearities and adaptation of color vision from sequential principal curves analysis

Neural Computation

Demographic classification from face videos using manifold learning

Neurocomputing

Computational intelligence in astronomy --- a win-win situation

TPNC'12 Proceedings of the First international conference on Theory and Practice of Natural Computing

Essentials of the self-organizing map

Neural Networks

Autoencoding ground motion data for visualisation

ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II

Learning relevant time points for time-series data in the life sciences

ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II

Optimized keyframe extraction for 3D character animations

Computer Animation and Virtual Worlds

Collaborative generative topographic mapping

ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II

Cartogram visualization for nonlinear manifold learning models

Data Mining and Knowledge Discovery

Magnitude Sensitive Competitive Learning

Neurocomputing

Visualizing the quality of dimensionality reduction

Neurocomputing

A generative model and a generalized trust region Newton method for noise reduction

Computational Optimization and Applications