Adam Krzyzak

Orcid: 0000-0003-0766-2659

Affiliations:
  • Concordia University, Montreal, Canada
  • Westpomeranian University of Technology (WUT), Szczecin, Poland


According to our database1, Adam Krzyzak authored at least 215 papers between 1983 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2012, "For contributions to nonparametric algorithms and classification systems for machine learning".

Timeline

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Bibliography

2024
Efficient integration of perceptual variational autoencoder into dynamic latent scale generative adversarial network.
Expert Syst. J. Knowl. Eng., October, 2024

Illumination invariant face recognition via multiscale filter faces and voting technique.
Signal Image Video Process., September, 2024

Wavelet-based 3D Data Cube Denoising Using Three Scales of Dependency.
Circuits Syst. Signal Process., June, 2024

Face recognition via selective denoising, filter faces and hog features.
Signal Image Video Process., February, 2024

Designing shape-preserving descriptors for classifying signals with application to vibrations of large mechanical structures.
Knowl. Based Syst., 2024

Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent.
CoRR, 2024

MobileNetV3 Layer Sensitivity and Sparsity.
Proceedings of the 6th IEEE/ACM International Workshop on Software Engineering Research & Practices for the IoT, 2024

Rate of Convergence of an Over-Parametrized Convolutional Neural Network Image Classifier Learned by Gradient Descent.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Hyperspectral Face Recognition via Existing 2D Face Recognition Methods.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Vision Transformer Features-Based Leukemia Classification.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2024

Comparative Study of Deep Learning Models in Melanoma Detection.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2024

Palmprint Classification via Filter Faces and Feature Extraction.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2024

2023
Compatible-domain Transfer Learning for Breast Cancer Classification with Limited Annotated Data.
Comput. Biol. Medicine, March, 2023

Invariant Pattern Recognition with Log-Polar Transform and Dual-Tree Complex Wavelet-Fourier Features.
Sensors, 2023

On the rate of convergence of an over-parametrized Transformer classifier learned by gradient descent.
CoRR, 2023

A Robust Preprocessing Method for Measuring Image Visual Quality Using Log-Polar FFT Features.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2023

An Experimental Study on MRI Denoising with Existing Image Denoising Methods.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Improved Blind Image Denoising with DnCNN.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Learning Shape-Preserving Autoencoder for the Reconstruction of Functional Data from Noisy Observations.
Proceedings of the Computational Science - ICCS 2023, 2023

Learning Bezier-Durrmeyer Type Descriptors for Classifying Curves - Preliminary Studies.
Proceedings of the Artificial Intelligence and Soft Computing, 2023

2022
Estimation of a Function of Low Local Dimensionality by Deep Neural Networks.
IEEE Trans. Inf. Theory, 2022

Hyperspectral face recognition with histogram of oriented gradient features and collaborative representation-based classifier.
Multim. Tools Appl., 2022

Noise Robust Illumination Invariant Face Recognition Via Bivariate Wavelet Shrinkage in Logarithm Domain.
J. Artif. Intell. Soft Comput. Res., 2022

Hyperspectral imagery classification with minimum noise fraction, 2D spatial filtering and SVM.
Int. J. Wavelets Multiresolution Inf. Process., 2022

Self-supervised Out-of-Distribution Detection with Dynamic Latent Scale GAN.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022

A New Preprocessing Method for Measuring Image Visual Quality Robust to Rotation and Spatial Shifts.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022

Refining AttnGAN Using Attention on Attention Network.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022

Taking Advantage of Typical Testor Algorithms for Computing Non-reducible Descriptors.
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

Dynamic Latent Scale for GAN Inversion.
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

Analysis of Different Deep Learning Architectures to Learn Generalised Classifier Stacking on Riemannian and Grassmann Manifolds.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Fast Estimation of Multidimensional Regression Functions by the Parzen Kernel-Based Method.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Illumination Invariant Face Recognition Using Directional Gradient Maps.
Proceedings of the Intelligent Computing Theories and Application, 2022

Fast Estimation of Multidimensional Regression Functions.
Proceedings of the 17th International Conference on Control, 2022

Convergence of RBF Networks Regression Function Estimates and Classifiers.
Proceedings of the Artificial Intelligence and Soft Computing, 2022

2021
A New Approach to Detection of Changes in Multidimensional Patterns - Part II.
J. Artif. Intell. Soft Comput. Res., 2021

Noise reduction of shot-noise-dominated hyperspectral imagery by combining PCA with existing denoising methods.
Int. J. Wavelets Multiresolution Inf. Process., 2021

An FFT-based visual quality metric robust to spatial shift.
Int. J. Wavelets Multiresolution Inf. Process., 2021

Ensemble Learning Using Matrices of Classifier Interactions and Decision Profiles on Riemannian and Grassmann Manifolds.
Int. J. Pattern Recognit. Artif. Intell., 2021

Convergence properties of radial basis functions networks in function learning.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Abrupt Change Detection by the Nonparametric Approach Based on Orthogonal Series Estimates.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

2020
A New Approach to Detection of Changes in Multidimensional Patterns.
J. Artif. Intell. Soft Comput. Res., 2020

On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data.
CoRR, 2020

On the rate of convergence of image classifiers based on convolutional neural networks.
CoRR, 2020

Manifold-Based Classifier Ensembles.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

Predicting US Elections with Social Media and Neural Networks.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

Supervised Classification Using Graph-based Space Partitioning for Multiclass Problems.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Comparison of Stacking-based Classifier Ensembles using Euclidean and Riemannian Geometries.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Edge Curve Estimation by the Nonparametric Parzen Kernel Method.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Classification of Lung Diseases Using Deep Learning Models.
Proceedings of the Computational Science - ICCS 2020, 2020

An Empirical Evaluation of Attention and Pointer Networks for Paraphrase Generation.
Proceedings of the Computational Science - ICCS 2020, 2020

A New Approach to Detection of Abrupt Changes in Black-and-White Images.
Proceedings of the Artificial Intelligence and Soft Computing, 2020

Breast Cancer Classification from Histopathological Images Using Transfer Learning and Deep Neural Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2020

Genre-ous: The Movie Genre Detector.
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

2019
Estimation of a Density From an Imperfect Simulation Model.
IEEE Trans. Inf. Theory, 2019

Supervised classification using graph-based space partitioning.
Pattern Recognit. Lett., 2019

Deep Learning and MARS: A Connection.
CoRR, 2019

Deep Neural Networks for Breast Cancer Diagnosis: Fine Needle Biopsy Scenario.
Proceedings of the Current Trends in Biomedical Engineering and Bioimages Analysis, 2019

On Learning and Convergence of RBF Networks in Regression Estimation and Classification.
Proceedings of the Artificial Intelligence and Soft Computing, 2019

Supervised Classification Box Algorithm Based on Graph Partitioning.
Proceedings of the Progress in Computer Recognition Systems, 2019

2018
Adaptive Estimation of Quantiles in a Simulation Model.
IEEE Trans. Inf. Theory, 2018

Filter-based face recognition under varying illumination.
IET Biom., 2018

Mass detection in digital breast tomosynthesis data using convolutional neural networks and multiple instance learning.
Comput. Biol. Medicine, 2018

Supervised Classification Using Feature Space Partitioning.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Trajectory Tracking and Nonparametric Identification of Flexible Space Robot Manipulators.
Proceedings of the 23rd International Conference on Methods & Models in Automation & Robotics, 2018

Prediction-based classification using learning on Riemannian manifolds.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Computerized Counting-Based System for Acute Lymphoblastic Leukemia Detection in Microscopic Blood Images.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Learning and Convergence of the Normalized Radial Basis Functions Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

2017
Nonparametric Regression Based on Hierarchical Interaction Models.
IEEE Trans. Inf. Theory, 2017

Nonparametric estimation of a latent variable model.
J. Multivar. Anal., 2017

Nonparametric estimation of a function from noiseless observations at random points.
J. Multivar. Anal., 2017

Direct fuzzy adaptive control and nonparametric identification of robot manipulator with elastic joints.
Proceedings of the 22nd International Conference on Methods and Models in Automation and Robotics, 2017

Classification Boosting by Data Decomposition Using Consensus-Based Combination of Classifiers.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017

Improvement of the Validity Index for Determination of an Appropriate Data Partitioning.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

A Study of Cluster Validity Indices for Real-Life Data.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

Convergence and Rates of Convergence of Recursive Radial Basis Functions Networks in Function Learning and Classification.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

Some Properties of Consensus-Based Classification.
Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017

Cytological malignancy grading systems for fine needle aspiration biopsies of breast cancer.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Recent Results on Nonparametric Quantile Estimation in a Simulation Model.
Proceedings of the Challenges in Computational Statistics and Data Mining, 2016

Nonparametric Quantile Estimation Based on Surrogate Models.
IEEE Trans. Inf. Theory, 2016

Empirical Comparison of Nonparametric Regression Estimates on Real Data.
Commun. Stat. Simul. Comput., 2016

A novel technique for detecting suspicious lesions in breast ultrasound images.
Concurr. Comput. Pract. Exp., 2016

Sparse support vector machine for pattern recognition.
Concurr. Comput. Pract. Exp., 2016

Influence of feature set reduction on breast cancer malignancy classification of fine needle aspiration biopsies.
Comput. Biol. Medicine, 2016

The rates of convergence of neural network estimates of hierarchical interaction regression models.
Proceedings of the IEEE International Symposium on Information Theory, 2016

A new geometrical approach for solving the supervised pattern recognition problem.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A Modification of the Silhouette Index for the Improvement of Cluster Validity Assessment.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

Recognizing Predatory Chat Documents using Semi-supervised Anomaly Detection.
Proceedings of the Document Recognition and Retrieval XXIII, 2016

3D Tomosynthesis to Detect Breast cancer.
Proceedings of the Handbook of Pattern Recognition and Computer Vision, 5th Ed., 2016

2015
Adaptive Density Estimation From Data With Small Measurement Errors.
IEEE Trans. Inf. Theory, 2015

Nonparametric recursive identification and control of a flexible joint robot manipulator.
Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics, 2015

Performance Evaluation of the Silhouette Index.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

Adaptation of RBM Learning for Intel MIC Architecture.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

2014
The Recognition Of Partially Occluded Objects with Support Vector Machines, Convolutional Neural Networks and Deep Belief Networks.
J. Artif. Intell. Soft Comput. Res., 2014

Web-Based Framework For Breast Cancer Classification.
J. Artif. Intell. Soft Comput. Res., 2014

Nonparametric identification and control of flexible joint robot manipulator.
Proceedings of the 19th International Conference On Methods and Models in Automation and Robotics, 2014

Density estimation using real and artificial data.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

One-Class Classification Decomposition for Imbalanced Classification of Breast Cancer Malignancy Data.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

Computer-Aided System for Automatic Classification of Suspicious Lesions in Breast Ultrasound Images.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

Application of Support Vector Machines, Convolutional Neural Networks and Deep Belief Networks to Recognition of Partially Occluded Objects.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

A new approach for binary feature selection and combining classifiers.
Proceedings of the International Conference on High Performance Computing & Simulation, 2014

Comparative Study of Feature Selection for White Blood Cell Differential Counts in Low Resolution Images.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2014

Convex Cardinality Restricted Boltzmann Machine and Its Application to Pattern Recognition.
Proceedings of the Advances in Artificial Intelligence, 2014

Analysis of Feature Maps Selection in Supervised Learning Using Convolutional Neural Networks.
Proceedings of the Advances in Artificial Intelligence, 2014

2013
Computer-Aided Breast Cancer Diagnosis Based on the Analysis of Cytological Images of Fine Needle Biopsies.
IEEE Trans. Medical Imaging, 2013

A Novel Approach for Automatic Detection and Classification of Suspicious Lesions in Breast Ultrasound Images.
J. Artif. Intell. Soft Comput. Res., 2013

Invariant Object Recognition Using Radon and Fourier Transforms.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Support Vector Machine with Customized Kernel.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

White Blood Cell Differential Counts Using Convolutional Neural Networks for Low Resolution Images.
Proceedings of the Artificial Intelligence and Soft Computing, 2013

A new approach to short-time harmonic analysis of tonal audio signals using harmonic sinusoidals.
Proceedings of the 26th IEEE Canadian Conference on Electrical and Computer Engineering CCECE 2013, 2013

2012
Editorial.
Trans. Mach. Learn. Data Min., 2012

An affine invariant k-nearest neighbor regression estimate.
J. Multivar. Anal., 2012

Nonparametric estimation of non-stationary velocity fields from 3D particle tracking velocimetry data.
Comput. Stat. Data Anal., 2012

Nonparametric identification of robot flexible joint space manipulator.
Proceedings of the 17th International Conference on Methods & Models in Automation & Robotics, 2012

Oversampling Methods for Classification of Imbalanced Breast Cancer Malignancy Data.
Proceedings of the Computer Vision and Graphics - International Conference, 2012

Analysis of White Blood Cell Differential Counts Using Dual-Tree Complex Wavelet Transform and Support Vector Machine Classifier.
Proceedings of the Computer Vision and Graphics - International Conference, 2012

Dimensionality Reduction Using External Context in Pattern Recognition Problems with Ordered Labels.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

Adaptive video denoising using block matching 3-D filtering.
Proceedings of the 25th IEEE Canadian Conference on Electrical and Computer Engineering, 2012

2011
Application of Pattern Recognition Techniques for the Analysis of Histopathological Images.
Proceedings of the Computer Recognition Systems 4, 2011

Why L1 view and what is next?
Kybernetika, 2011

Denoising of Three-Dimensional Data Cube Using bivariate Wavelet Shrinking.
Int. J. Pattern Recognit. Artif. Intell., 2011

Accurate feature matching for autonomous vehicle navigation in urban environments.
Proceedings of the 16th International Conference on Methods and Models in Automation and Robotics, 2011

Counting of RBCs and WBCs in noisy normal blood smear microscopic images.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Radial Basis Function Networks with optimal kernels.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

2010
Pattern Recognition with Linearly Structured Labels Using Recursive Kernel Estimator.
Proceedings of the Artificial Intelligence and Soft Computing, 2010

2009
Invariant pattern recognition using radon, dual-tree complex wavelet and Fourier transforms.
Pattern Recognit., 2009

Influence of nuclei segmentation on breast cancer malignancy classification.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

On application of nonparametric regression estimation to options pricing.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Automated Multimodal Biometrics Using Face and Ear.
Proceedings of the Image Analysis and Recognition, 6th International Conference, 2009

On Improving the Efficiency of Eigenface Using a Novel Facial Feature Localization.
Proceedings of the Image Analysis and Processing, 2009

2008
Multimodal Biometrics by Face and Hand Images Taken by a Cell Phone Camera.
Int. J. Pattern Recognit. Artif. Intell., 2008

Classification of Breast Cancer Malignancy Using Cytological Images of Fine Needle Aspiration Biopsies.
Int. J. Appl. Math. Comput. Sci., 2008

Effective shrinkage of large multi-class linear svm models for text categorization.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A new courtesy amount recognition module of a Check Reading System.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Cell Phones Personal Authentication Systems Using Multimodal Biometrics.
Proceedings of the Image Analysis and Recognition, 5th International Conference, 2008

Nonlinear Function Learning Using Radial Basis Function Networks: Convergence and Rates.
Proceedings of the Artificial Intelligence and Soft Computing, 2008

Comparison of Pleomorphic and Structural Features Used for Breast Cancer Malignancy Classification.
Proceedings of the Advances in Artificial Intelligence , 2008

2007
On the Rate of Convergence of Local Averaging Plug-In Classification Rules Under a Margin Condition.
IEEE Trans. Inf. Theory, 2007

Semi-automatic computer aided lesion detection in dental X-rays using variational level set.
Pattern Recognit., 2007

Computer aided root lesion detection using level set and complex wavelets.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007

2006
Rotation invariant feature extraction using Ridgelet and Fourier transforms.
Pattern Anal. Appl., 2006

Automatic clinical image segmentation using pathological modeling, PCA and SVM.
Eng. Appl. Artif. Intell., 2006

An automatic variational level set segmentation framework for computer aided dental X-rays analysis in clinical environments.
Comput. Medical Imaging Graph., 2006

Fast and Robust Clinical Triple-Region Image Segmentation Using One Level Set Function.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Invariant Ridgelet-Fourier Descriptor for Pattern Recognition.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Palmprint Classification using Dual-Tree Complex Wavelets.
Proceedings of the International Conference on Image Processing, 2006

Nonlinear Function Learning by the Normalized Radial Basis Function Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

2005
Nonparametric regression estimation by normalized radial basis function networks.
IEEE Trans. Inf. Theory, 2005

An improved handwritten Chinese character recognition system using support vector machine.
Pattern Recognit. Lett., 2005

Rotation invariant pattern recognition using ridgelets, wavelet cycle-spinning and Fourier features.
Pattern Recognit., 2005

Image denoising with neighbour dependency and customized wavelet and threshold.
Pattern Recognit., 2005

Fast SVM Training Algorithm with Decomposition on Very Large Data Sets.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Image denoising using neighbouring wavelet coefficients.
Integr. Comput. Aided Eng., 2005

Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Low-Level Cursive Word Representation Based on Geometric Decomposition.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

A level set segmentation for computer-aided dental x-ray analysis.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

Toward Automatic Computer Aided Dental X-ray Analysis Using Level Set Method.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Rates of convergence for adaptive regression estimates with multiple hidden layer feedforward neural networks.
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005

Cursive word skew/slant corrections based on Radon transform.
Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005

2004
Image Segmentation Adapted for Clinical Settings by Combining Pattern Classification and Level Sets.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Adaptive regression estimation with multilayer feedforward neural networks.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Combining Space-Filling Curves and Radial Basis Function Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

A SVM-based framework for autonomous volumetric medical image segmentation using hierarchical and coupled level sets.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004

2003
Postfiltering versus prefiltering for signal recovery from noisy samples.
IEEE Trans. Inf. Theory, 2003

Contour-based handwritten numeral recognition using multiwavelets and neural networks.
Pattern Recognit., 2003

A Fast SVM Training Algorithm.
Int. J. Pattern Recognit. Artif. Intell., 2003

A Fast Parallel Optimization for Training Support Vector Machine.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2003

2002
Verification - a method of enhancing the recognizers of isolated and touching handwritten numerals.
Pattern Recognit., 2002

Piecewise Linear Skeletonization Using Principal Curves.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

A Distribution-Free Theory of Nonparametric Regression.
Springer series in statistics, Springer, ISBN: 978-0-387-95441-7, 2002

2001
Nonparametric regression estimation using penalized least squares.
IEEE Trans. Inf. Theory, 2001

Non-parametric identification of dynamic non-linear systems by a Hermite Series Approach.
Int. J. Syst. Sci., 2001

Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2001

Local Learning Framework for Recognition of Lowercase Handwritten Characters.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2001

A Multi-Net Local Learning Framework for Pattern Recognition.
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

2000
Learning and Design of Principal Curves.
IEEE Trans. Pattern Anal. Mach. Intell., 2000

Radial Basis Function Networks and Complexity Regularization in Function Learning and Classification.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999
Recognition of handwritten numerals by Quantum Neural Network with fuzzy features.
Int. J. Document Anal. Recognit., 1999

1998
Radial basis function networks and complexity regularization in function learning.
IEEE Trans. Neural Networks, 1998

A Polygonal Line Algorithm for Constructing Principal Curves.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Radial basis function networks in nonparametric classification and function learning.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

1997
Moving average restoration of bandlimited signals from noisy observations.
IEEE Trans. Signal Process., 1997

Rates of convergence of the recursive radial basis function networks.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
Exponential weighting algorithms for reconstruction of bandlimited signals.
IEEE Trans. Signal Process., 1996

Nonparametric estimation and classification using radial basis function nets and empirical risk minimization.
IEEE Trans. Neural Networks, 1996

On nonparametric estimation of nonlinear dynamic systems by the Fourier series estimate.
Signal Process., 1996

Fast k-NN classification rule using metric on space-filling curves.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Radial basis function networks and nonparametric classification: complexity regularization and rates of convergence.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

1995
On optimal radial basis function nets and nonlinear function estimates.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Handwriting Recognition Using Weighted Elastic Matching.
Proceedings of the Research in Computer and Robot Vision, 1995

1994
Robust Estimation for Range Image Segmentation and Reconstruction.
IEEE Trans. Pattern Anal. Mach. Intell., 1994

On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size.
Neural Networks, 1994

On Estimation of Nonlinear Systems by Nonparametric Techniques.
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994

Nonparametric classification using radial basis function nets and empirical risk minimization.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

On L<sub>1</sub> convergence rate of RBF networks and kernel regression estimators with applications in classification.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1993
Rival penalized competitive learning for clustering analysis, RBF net, and curve detection.
IEEE Trans. Neural Networks, 1993

Segmentation of handwritten digits using contour features.
Proceedings of the 2nd International Conference Document Analysis and Recognition, 1993

1992
Methods of combining multiple classifiers and their applications to handwriting recognition.
IEEE Trans. Syst. Man Cybern., 1992

Global convergence of the recursive kernel regression estimates with applications in classification and nonlinear system estimation.
IEEE Trans. Inf. Theory, 1992

Unsupervised and supervised classifications by rival penalized competitive learning.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

Range image segmentation and fitting by residual consensus.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1992

1991
On the Recognition of Handwritten Characters using Neural Networks.
Proceedings of the Pattern Recognition: Architectures, Algorithms and Applications, 1991

On exponential bounds on the Bayes risk of the kernel classification rule.
IEEE Trans. Inf. Theory, 1991

Neural Nets for Dual Subspace Pattern Recognition Method.
Int. J. Neural Syst., 1991

1990
On estimation of a class of nonlinear systems by the kernel regression estimate.
IEEE Trans. Inf. Theory, 1990

Motion estimation based on point correspondence using neural network.
Proceedings of the IJCNN 1990, 1990

Classification of large set of handwritten characters using modified back propagation model.
Proceedings of the IJCNN 1990, 1990

1989
Classification of Digitized Curves Represented by Signatures and Fourier Descriptors.
Proceedings of the Computer Vision and Shape Recognition, 1989

Reconstruction of two-dimensional patterns from Fourier descriptors.
Mach. Vis. Appl., 1989

1988
Fourier Descriptors of Two Dimensional Shapes - Reconstruction and Accuracy.
Proceedings of IAPR Workshop on Computer Vision, 1988

Reconstruction of two dimensional patterns by Fourier descriptors.
Proceedings of the 9th International Conference on Pattern Recognition, 1988

1986
The rates of convergence of kernel regression estimates and classification rules.
IEEE Trans. Inf. Theory, 1986

1984
Almost everywhere convergence of a recursive regression function estimate and classification.
IEEE Trans. Inf. Theory, 1984

Distribution-free consistency of a nonparametric kernel regression estimate and classification.
IEEE Trans. Inf. Theory, 1984

1983
Classification procedures using multivariate variable kernel density estimate.
Pattern Recognit. Lett., 1983


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