Adam Krzyzak
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Why Is Adam Krzyzak Influential?
(Suggest an Edit or Addition)According to Wikipedia, Adam Krzyzak is a computer engineer from Concordia University in Montreal, Quebec. He was named a Fellow of the Institute of Electrical and Electronics Engineers in 2012 for his contributions to nonparametric algorithms and classification systems for machine learning.
Adam Krzyzak's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Methods of combining multiple classifiers and their applications to handwriting recognition (1992) (2417)
- A Distribution-Free Theory of Nonparametric Regression (2002) (1877)
- Rival penalized competitive learning for clustering analysis, RBF net, and curve detection (1993) (654)
- Learning and Design of Principal Curves (2000) (360)
- On the Strong Universal Consistency of Nearest Neighbor Regression Function Estimates (1994) (297)
- Fast SVM training algorithm with decomposition on very large data sets (2005) (245)
- Piecewise linear skeletonization using principal curves (2000) (240)
- Computer-Aided Breast Cancer Diagnosis Based on the Analysis of Cytological Images of Fine Needle Biopsies (2013) (193)
- Image denoising using neighbouring wavelet coefficients (2004) (185)
- On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size (1994) (156)
- Image denoising with neighbour dependency and customized wavelet and threshold (2005) (155)
- Robust Estimation for Range Image Segmentation and Reconstruction (1994) (124)
- Distribution-Free Pointwise Consistency of Kernel Regression Estimate (1984) (123)
- Classification of Breast Cancer Malignancy Using Cytological Images of Fine Needle Aspiration Biopsies (2008) (115)
- An improved handwritten Chinese character recognition system using support vector machine (2005) (98)
- Radial Basis Function Networks and Complexity Regularization in Function Learning (1996) (90)
- Nonparametric estimation and classification using radial basis function nets and empirical risk minimization (1996) (85)
- PRICING OF HIGH‐DIMENSIONAL AMERICAN OPTIONS BY NEURAL NETWORKS (2010) (81)
- Segmentation of handwritten digits using contour features (1993) (79)
- Methods of CombiningMultiple Classifiers and Their Application to Handwriting Recognition (1992) (77)
- The rates of convergence of kernel regression estimates and classification rules (1986) (73)
- Nonparametric Regression Based on Hierarchical Interaction Models (2017) (70)
- A Fast Parallel Optimization for Training Support Vector Machine (2003) (70)
- Semi-automatic computer aided lesion detection in dental X-rays using variational level set (2007) (70)
- Contour-based handwritten numeral recognition using multiwavelets and neural networks (2003) (66)
- Mass detection in digital breast tomosynthesis data using convolutional neural networks and multiple instance learning (2018) (66)
- Principal curves: learning, design, and applications (2000) (64)
- Nonparametric regression estimation using penalized least squares (2001) (63)
- A Fast SVM Training Algorithm (2002) (62)
- Automatic Epileptic Seizure Detection in EEG Using Nonsubsampled Wavelet–Fourier Features (2017) (60)
- White Blood Cell Differential Counts Using Convolutional Neural Networks for Low Resolution Images (2013) (60)
- Invariant pattern recognition using radon, dual-tree complex wavelet and Fourier transforms (2009) (60)
- A Polygonal Line Algorithm for Constructing Principal Curves (1998) (59)
- An automatic variational level set segmentation framework for computer aided dental X-rays analysis in clinical environments (2006) (58)
- On estimation of a class of nonlinear systems by the kernel regression estimate (1990) (58)
- Performance Evaluation of the Silhouette Index (2015) (57)
- Automatic clinical image segmentation using pathological modeling, PCA and SVM (2006) (57)
- Recognition of handwritten numerals by Quantum Neural Network with fuzzy features (1999) (54)
- Distribution-free consistency of a nonparametric kernel regression estimate and classification (1984) (53)
- Rotation invariant pattern recognition using ridgelets, wavelet cycle-spinning and Fourier features (2005) (53)
- Rates of convergence for partitioning and nearest neighbor regression estimates with unbounded data (2006) (52)
- Identification of discrete Hammerstein systems by the Fourier series regression estimate (1989) (51)
- Global convergence of the recursive kernel regression estimates with applications in classification and nonlinear system estimation (1992) (49)
- An affine invariant k-nearest neighbor regression estimate (2012) (42)
- Almost everywhere convergence of a recursive regression function estimate and classification (1984) (41)
- Adaptive regression estimation with multilayer feedforward neural networks (2004) (41)
- Palmprint Classification using Dual-Tree Complex Wavelets (2006) (39)
- On the Rate of Convergence of Local Averaging Plug-In Classification Rules Under a Margin Condition (2007) (38)
- Optimal global rates of convergence for nonparametric regression with unbounded data (2009) (38)
- Neural Nets for Dual Subspace Pattern Recognition Method (1991) (38)
- Postfiltering versus prefiltering for signal recovery from noisy samples (2003) (37)
- The Recognition Of Partially Occluded Objects with Support Vector Machines, Convolutional Neural Networks and Deep Belief Networks (2014) (37)
- Asymptotic properties of kernel estimates of a regression function (1980) (37)
- Unsupervised and supervised classifications by rival penalized competitive learning (1992) (35)
- Counting of RBCs and WBCs in noisy normal blood smear microscopic images (2011) (34)
- Associative switch for combining multiple classifiers (1991) (34)
- Comparative study of shape, intensity and texture features and support vector machine for white blood cell classification (2013) (33)
- Coherent states and Hermite polynomials on quaternionic Hilbert spaces (2010) (32)
- Recognizing Predatory Chat Documents using Semi-supervised Anomaly Detection (2016) (32)
- On the Hilbert kernel density estimate (1999) (31)
- Rotation invariant feature extraction using Ridgelet and Fourier transforms (2006) (30)
- Non-parametric identification of a memoryless system with a cascade structure (1979) (29)
- Moving average restoration of bandlimited signals from noisy observations (1997) (26)
- Cursive word skew/slant corrections based on Radon transform (2005) (25)
- Estimation of a Function of Low Local Dimensionality by Deep Neural Networks (2019) (25)
- On nonparametric estimation of nonlinear dynamic systems by the Fourier series estimate (1996) (25)
- Analysis of Feature Maps Selection in Supervised Learning Using Convolutional Neural Networks (2014) (24)
- New Multivariate Product Density Estimators (2002) (24)
- Classification of large set of handwritten characters using modified back propagation model (1990) (24)
- A Hybrid Multi-Criteria Hotel Recommender System Using Explicit and Implicit Feedbacks (2016) (23)
- Verification - a method of enhancing the recognizers of isolated and touching handwritten numerals (2002) (23)
- Estimation of the essential supremum of a regression function (2011) (22)
- The Hilbert Kernel Regression Estimate (1998) (22)
- Influence of feature set reduction on breast cancer malignancy classification of fine needle aspiration biopsies (2016) (21)
- APPLICATION OF PATTERN RECOGNITION TECHNIQUES FOR THE ANALYSIS OF THIN BLOOD SMEAR IMAGES (2011) (20)
- Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM (2005) (20)
- On Identification of Discrete Hammerstein Systems by the Fourier Series Regression Estimate (1988) (19)
- Multimodal Biometrics by Face and Hand Images Taken by a Cell Phone Camera (2008) (19)
- Nonparametric regression estimation by normalized radial basis function networks (2003) (19)
- Local learning framework for handwritten character recognition (2002) (19)
- Denoising of Three-Dimensional Data Cube Using bivariate Wavelet Shrinking (2011) (18)
- Pricing of American options in discrete time using least squares estimates with complexity penalties (2012) (18)
- Fast k-NN classification rule using metric on space-filling curves (1996) (18)
- The pointwise rate of convergence of the kernel regression estimate (1987) (17)
- A SVM-based framework for autonomous volumetric medical image segmentation using hierarchical and coupled level sets (2004) (17)
- Application of structural risk minimization to multivariate smoothing spline regression estimates (2002) (17)
- Nonparametric estimation of a function from noiseless observations at random points (2017) (17)
- Adaptive density estimation based on real and artificial data (2015) (16)
- A Novel Approach for Automatic Detection and Classification of Suspicious Lesions in Breast Ultrasound Images (2013) (16)
- Global identification of nonlinear Hammerstein systems by recursive kernel approach (2005) (15)
- Nonparametric Quantile Estimation Based on Surrogate Models (2016) (15)
- On estimation of discrete Hammerstein system by nonparametric regression estimate (1987) (15)
- On exponential bounds on the Bayes risk of the kernel classification rule (1991) (15)
- Oversampling Methods for Classification of Imbalanced Breast Cancer Malignancy Data (2012) (15)
- Application of Support Vector Machines, Convolutional Neural Networks and Deep Belief Networks to Recognition of Partially Occluded Objects (2014) (15)
- Reconstruction of two-dimensional patterns from Fourier descriptors (1988) (15)
- GLCM AND GLRLM BASED TEXTURE FEATURES FOR COMPUTER-AIDED BREAST CANCER DIAGNOSIS (2012) (14)
- Asymptotic confidence intervals for Poisson regression (2007) (14)
- Denoising of Three Dimensional Data Cube Using Bivariate Wavelet Shrinking (2010) (14)
- Algorithms of fast SVM evaluation based on subspace projection (2005) (14)
- Cell Phones Personal Authentication Systems Using Multimodal Biometrics (2008) (13)
- Local Learning Framework for Recognition of Lowercase Handwritten Characters (2001) (13)
- On identification of block orientated systems by non-parametric techniques (1993) (13)
- Classification of Lung Diseases Using Deep Learning Models (2020) (13)
- Optimal global rates of convergence for interpolation problems with random design (2013) (13)
- A multi-net local learning framework for pattern recognition (2001) (13)
- Computer Vision and Shape Recognition (1989) (13)
- Toward Automatic Computer Aided Dental X-ray Analysis Using Level Set Method (2005) (12)
- A Study on Significance of Color in Face Recognition using Several Eigenface Algorithms (2007) (12)
- Speed and accuracy: large-scale machine learning algorithms and their applications (2003) (12)
- Strong consistency of automatic kernel regression estimates (2003) (12)
- Web–Based Framework For Breast Cancer Classification (2014) (12)
- Combining Space-Filling Curves and Radial Basis Function Networks (2004) (12)
- A New Approach to Detection of Changes in Multidimensional Patterns (2020) (11)
- Computer-Aided System for Automatic Classification of Suspicious Lesions in Breast Ultrasound Images (2014) (11)
- Convergence and rates of convergence of radial basis functions networks in function learning (2001) (11)
- Clipped median and space-filling curves in image filtering (2001) (11)
- On the rate of convergence of image classifiers based on convolutional neural networks (2020) (10)
- A new courtesy amount recognition module of a Check Reading System (2008) (10)
- Small bowel image classification based on Fourier-Zernike moment features and canonical discriminant analysis (2013) (10)
- Nonparametric recursive quantile estimation (2014) (10)
- On Radial Basis Function Net and Kernel Regression: Approximation Ability, Convergence Rate and Receptive Field Size (1993) (10)
- Radial basis function networks and complexity regularization in function learning and classification (2000) (9)
- Comparison of Pleomorphic and Structural Features Used for Breast Cancer Malignancy Classification (2008) (9)
- Comparative Study of Feature Selection for White Blood Cell Differential Counts in Low Resolution Images (2014) (9)
- A Modification of the Silhouette Index for the Improvement of Cluster Validity Assessment (2016) (9)
- Principal curves: learning and convergence (1998) (9)
- Image Segmentation Adapted for Clinical Settings by Combining Pattern Classification and Level Sets (2004) (9)
- Adaptive Density Estimation From Data With Small Measurement Errors (2015) (8)
- Nonparametric quantile estimation using importance sampling (2018) (8)
- Non-parametric identification of dynamic non-linear systems by a Hermite Series Approach (2001) (8)
- Random Search Under Additive Noise (2002) (8)
- Analysis of White Blood Cell Differential Counts Using Dual-Tree Complex Wavelet Transform and Support Vector Machine Classifier (2012) (8)
- Fast and Robust Clinical Triple-Region Image Segmentation Using One Level Set Function (2006) (8)
- Over-parametrized deep neural networks minimizing the empirical risk do not generalize well (2021) (8)
- Over-parametrized deep neural networks do not generalize well (2019) (8)
- Classification procedures using multivariate variable kernel density estimate (1983) (7)
- One-Class Classification Decomposition for Imbalanced Classification of Breast Cancer Malignancy Data (2014) (7)
- Discriminatory Power of Cells Grouping Features for Breast Cancer Malignancy Classification (2008) (7)
- On the Recognition of Handwritten Characters using Neural Networks (1991) (7)
- A level set segmentation for computer-aided dental x-ray analysis (2005) (7)
- Illumination invariant face recognition using dual-tree complex wavelet transform in logarithm domain (2019) (7)
- Neural-net method for dual subspace pattern recognition (1991) (7)
- Nonparametric estimation of a latent variable model (2017) (7)
- Uncertainty Quantification in Case of Imperfect Models: A Non‐Bayesian Approach (2018) (7)
- Deep Learning and MARS: A Connection (2019) (6)
- Application of Pattern Recognition Techniques for the Analysis of Histopathological Images (2011) (6)
- Nonlinear function learning using optimal radial basis function newtworks (2001) (6)
- Automated Multimodal Biometrics Using Face and Ear (2009) (6)
- Face Recognition Under Significant Pose Variation (2007) (6)
- Influence of nuclei segmentation on breast cancer malignancy classification (2009) (6)
- Neural networks for optimization and signal processing: A. Cichocki and R. Unbehauen. J. Wiley & Sons, 1993. ISBN 0-471-93010-5. 526 pp (1994) (6)
- Adaptation of RBM Learning for Intel MIC Architecture (2015) (6)
- L1-consistent estimation of the density of residuals in random design regression models (2012) (6)
- Feature matching for UAV navigation in urban environments (2010) (6)
- Fixed-design regression estimation based on real and artificial data (2013) (6)
- Multi-matrix vector coherent states (2004) (6)
- Dimension Reduction Techniques (2002) (6)
- Identification of non-linear systems by recursive kernel regression estimates (1993) (6)
- Nonlinear function learning using optimal radial basis function networks (2001) (6)
- Radial basis function networks in nonparametric classification and function learning (1998) (5)
- Displacement Identification of Flexible Manipulator Arm using Hammerstein Model (1989) (5)
- On Exponential Bounds On The Bayes Risk Of Nonparametric Classification Rules (1991) (5)
- Pattern recognition with ordered labels (2009) (5)
- Motion estimation based on point correspondence using neural network (1990) (5)
- A novel technique for detecting suspicious lesions in breast ultrasound images (2016) (5)
- Sparse Support Vector Machine for pattern recognition (2013) (5)
- Nonparametric estimation of discrete type Hammerstein systems with application to tactile sensor identification (1991) (5)
- A new geometrical approach for solving the supervised pattern recognition problem (2016) (5)
- Nonparametric identification of robot flexible joint space manipulator (2012) (5)
- Effective shrinkage of large multi-class linear svm models for text categorization (2008) (5)
- CONVERGENCE OF THE KERNEL REGRESSION ESTIMATE * (1989) (4)
- Dynamics Identification of a Flexible Robot using Multichannel Nonlinear Systems (1990) (4)
- Invariants and pose determination (1992) (4)
- Adaptive video denoising using block matching 3-D filtering (2012) (4)
- Dynamic Latent Scale for GAN Inversion (2022) (4)
- Discretization of quaternionic continuous wavelet transforms (2016) (4)
- On estimation of surrogate models for multivariate computer experiments (2019) (4)
- Rates of convergence of the recursive radial basis function networks (1997) (4)
- Low-Level Cursive Word Representation Based on Geometric Decomposition (2005) (4)
- Exponential weighting algorithms for reconstruction of bandlimited signals (1996) (4)
- Nonparametric classification using radial basis function nets and empirical risk minimization (1994) (4)
- Almost Everywhere Convergence of Recursive Kernel Regression Function Estimates (1982) (4)
- Nonparametric estimation of non-stationary velocity fields from 3D particle tracking velocimetry data (2012) (4)
- On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data (2020) (4)
- Fourier Descriptors of Two Dimensional Shapes - Reconstruction and Accuracy (1988) (3)
- Supervised classification using graph-based space partitioning (2019) (3)
- Adaptive Estimation of Quantiles in a Simulation Model (2018) (3)
- On estimation of nonlinear systems by nonparametric techniques (1994) (3)
- Improvement of the Validity Index for Determination of an Appropriate Data Partitioning (2017) (3)
- Flexible robot identification using nonparametric techniques (1991) (3)
- Filter-based face recognition under varying illumination (2018) (3)
- An Empirical Evaluation of Attention and Pointer Networks for Paraphrase Generation (2020) (3)
- Rate of convergence of local averaging plug-in classification rules under margin condition (2006) (3)
- Estimation of a Multivariate Density by Orthogonal Series (1982) (3)
- Accurate feature matching for autonomous vehicle navigation in urban environments (2011) (3)
- Nonparametric regression estimation by normalized radial basis function networks (2003) (3)
- Deep Neural Networks for Breast Cancer Diagnosis: Fine Needle Biopsy Scenario (2019) (3)
- Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks (2001) (3)
- Estimation of extreme quantiles in a simulation model (2019) (3)
- Edge Curve Estimation by the Nonparametric Parzen Kernel Method (2020) (2)
- Wavelet and ridgelet transforms for pattern recognition and denoising (2004) (2)
- Dynamics identification of a flexible robot using multichannel nonlinear systems (1990) (2)
- Convergence and Rates of Convergence of Recursive Radial Basis Functions Networks in Function Learning and Classification (2017) (2)
- On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions (2016) (2)
- A New Approach to Detection of Abrupt Changes in Black-and-White Images (2020) (2)
- Invariant Ridgelet-Fourier Descriptor for Pattern Recognition (2006) (2)
- A new approach for binary feature selection and combining classifiers (2014) (2)
- Hyperspectral face recognition with histogram of oriented gradient features and collaborative representation-based classifier (2021) (2)
- Identification of dynamic nonlinear systems using the Hermite series approach (1994) (2)
- Estimation of a Density From an Imperfect Simulation Model (2019) (2)
- Supervised Classification Using Feature Space Partitioning (2018) (2)
- Why L1 view and what is next? (2011) (2)
- Identification of nonlinear systems by nonparametric approach with application to control of flexible robot manipulator (2009) (2)
- On restoration of band-limited signals from noisy observations (1994) (2)
- Classification of Digitized Curves Represented by Signatures and Fourier Descriptors (1989) (2)
- Breast Cancer Classification from Histopathological Images Using Transfer Learning and Deep Neural Networks (2020) (2)
- Ensemble Learning Using Matrices of Classifier Interactions and Decision Profiles on Riemannian and Grassmann Manifolds (2021) (2)
- On estimation of surrogate models for high-dimensional computer experiments ∗ (2016) (2)
- Comparison of Stacking-based Classifier Ensembles using Euclidean and Riemannian Geometries (2021) (1)
- Neural Networks Estimates (2002) (1)
- Nonparametric identification of dynamic nonlinear systems (1997) (1)
- 3D Tomosynthesis to Detect Breast cancer (2016) (1)
- Estimating quantiles in imperfect simulation models using conditional density estimation (2018) (1)
- Nonparametric estimation of nonlinear dynamic systems using semirecursive regression estimates (2009) (1)
- Nonparametric estimation of a maximum of quantiles (2014) (1)
- A Local Learning Framework for Pattern Classification (1)
- Surface integrations from multiple range images (1992) (1)
- Radial basis function networks and nonparametric classification: complexity regularization and rates of convergence (1996) (1)
- Kernel regression and radial basis function net: some theoretical studies (1992) (1)
- On Identification of Discrete Multivariate Hammerstein System by Kernel Regression Estimate (1987) (1)
- Nonparametric Identification of a Memoryless Stochastic System with Cascade Structure (1986) (1)
- Radial Basis Function Networks with optimal kernels (2011) (1)
- Radial Basis Function Networks (2002) (1)
- Trajectory Tracking and Nonparametric Identification of Flexible Space Robot Manipulators (2018) (1)
- A New Endmember Extraction Method Based on Least Squares (2022) (1)
- Formulation of Feature Selection with Support Vector Machine (2015) (1)
- Adaptive Density Estimation from Data Containing Bounded Measurement Errors (2015) (1)
- Nonlinear Function Learning and Classification Using RBF Networks with Optimal Kernels (2003) (1)
- Range image segmentation and fitting by residual consensus (1992) (1)
- Estimation of a density using an improved surrogate model (2021) (1)
- Estimation of a jump point in random design regression (2015) (1)
- Direct fuzzy adaptive control and nonparametric identification of robot manipulator with elastic joints (2017) (1)
- Analysis of the rate of convergence of an over-parametrized deep neural network estimate learned by gradient descent (2022) (1)
- Nonparametric classification using radial basis function nets and empirical risk minimization (1995) (1)
- Computerized Counting-Based System for Acute Lymphoblastic Leukemia Detection in Microscopic Blood Images (2018) (1)
- Density estimation using real and artificial data (2014) (1)
- Nonparametric identification and control of flexible joint robot manipulator (2014) (1)
- Illumination Invariant Face Recognition Using Directional Gradient Maps (2022) (1)
- Moving average restoration of band-limited signals from noisy observations (1997) (1)
- Pattern Recognition with Linearly Structured Labels Using Recursive Kernel Estimator (2010) (1)
- Reproducing Kernels and Coherent States on Julia Sets (2007) (1)
- On optimal radial basis function nets and nonlinear function estimates (1995) (1)
- Genre-ous: The Movie Genre Detector (2020) (1)
- Image compression with optimal wavelet (2004) (1)
- Learning and Convergence of the Normalized Radial Basis Functions Networks (2018) (1)
- A New Approach to Detection of Changes in Multidimensional Patterns - Part II (2021) (1)
- On identification of nonstationary Hammerstein systems by the Fourier series regression estimate (1989) (1)
- Dimensionality Reduction Using External Context in Pattern Recognition Problems with Ordered Labels (2012) (1)
- A new approach to short-time harmonic analysis of tonal audio signals using harmonic sinusoidals (2013) (1)
- Classification Boosting by Data Decomposition Using Consensus-Based Combination of Classifiers (2017) (1)
- Recent Results on Nonparametric Quantile Estimation in a Simulation Model (2016) (1)
- Convergence properties of radial basis functions networks in function learning (2021) (1)
- Cytological malignancy grading systems for fine needle aspiration biopsies of breast cancer (2017) (1)
- k-NN Estimates (2002) (1)
- Prediction-based classification using learning on Riemannian manifolds (2018) (1)
- Noise Robust Illumination Invariant Face Recognition Via Bivariate Wavelet Shrinkage in Logarithm Domain (2022) (1)
- Empirical Comparison of Nonparametric Regression Estimates on Real Data (2016) (1)
- Analysis of the rate of convergence of neural network regression estimates which are easy to implement. (2019) (1)
- Fast Estimation of Multidimensional Regression Functions (2022) (0)
- Predicting US Elections with Social Media and Neural Networks (2021) (0)
- Strong Consistency of Local Averaging Estimates (2002) (0)
- Transactions on Machine Learning and Data Mining Editorial (2012) (0)
- On estimation of surrogate models for multivariate computer experiments (2017) (0)
- Orthogonal Series Estimates (2002) (0)
- Penalized Least Squares Estimates II: Rate of Convergence (2002) (0)
- Hyperspectral imagery classification with minimum noise fraction, 2D spatial filtering and SVM (2022) (0)
- On Learning and Convergence of RBF Networks in Regression Estimation and Classification (2019) (0)
- A Study of Cluster Validity Indices for Real-Life Data (2017) (0)
- Estimation of discrete hammerstein system by recursive kernel regression estimate (1987) (0)
- Fast Estimation of Multidimensional Regression Functions by the Parzen Kernel-Based Method (2022) (0)
- Comparison using the statistical test method ( sorted by score from high to low ) WEB – BASED FRAMEWORK FOR BREAST CANCER CLASSIFICATION (2015) (0)
- Special Issue on Recent Trends in Stochastic Models, Statistics and Their Applications (2018) (0)
- A New Preprocessing Method for Measuring Image Visual Quality Robust to Rotation and Spatial Shifts (2022) (0)
- Some results on L/sub 1/ convergence rate of RBF networks and kernel regression estimators (1994) (0)
- Abrupt Change Detection by the Nonparametric Approach Based on Orthogonal Series Estimates (2021) (0)
- Three-dimensional range image segmentation and fitting by quadratic surfaces (1992) (0)
- Analysis of Different Deep Learning Architectures to Learn Generalised Classifier Stacking on Riemannian and Grassmann Manifolds (2022) (0)
- Refining AttnGAN Using Attention on Attention Network (2022) (0)
- Convergence of RBF Networks Regression Function Estimates and Classifiers (2022) (0)
- Hyperspectral Imagery Denoising Using Minimum Noise Fraction and Video Non-Local Bayes Algorithms (2022) (0)
- Handwriting Recognition Using Weighted Elastic Matching (1995) (0)
- On L/sub 2/ convergence rates of radial basis function networks and kernel regression estimators (1994) (0)
- Invariant Pattern Recognition with Log-Polar Transform and Dual-Tree Complex Wavelet-Fourier Features (2023) (0)
- Recovering motion from range image sequences (1992) (0)
- On reconstruction of band-limited signals from noisy measurements (1994) (0)
- Invariant Object Recognition Using Radon and Fourier Transforms (2013) (0)
- An Experimental Study on the Effects of Noise on Endmember Extraction Methods (2022) (0)
- The rates of convergence of neural network estimates of hierarchical interaction regression models (2016) (0)
- Signal recovery under noise for not necessarily band-limited functions (1998) (0)
- Penalized Least Squares Estimates I: Consistency (2002) (0)
- Advanced Techniques from Empirical Process Theory (2002) (0)
- Nonparametric and nonlinear reconstruction of surfaces from qualitative observations (2005) (0)
- Splitting the Sample (2002) (0)
- Hyperspectral face recognition with histogram of oriented gradient features and collaborative representation-based classifier (2021) (0)
- On L/sub 1/ convergence rate of RBF networks and kernel regression estimators with applications in classification (1994) (0)
- How to Construct Nonparametric Regression Estimates (2002) (0)
- Support Vector Machine with Customized Kernel (2013) (0)
- Optimal Modeling and Recursive Identification of Stochastic Cascade System (1987) (0)
- Postfiltering versus prefiltering for signal sampling and recovery under noise (2002) (0)
- Some Properties of Consensus-Based Classification (2017) (0)
- On Identification of Cascade Sytems by Nonparametric Techniques with Applications to Pollution Spread Modeling in River Systems (1994) (0)
- Least Squares Estimates III: Complexity Regularization (2002) (0)
- Nonlinear Function Learning Using Radial Basis Function Networks: Convergence and Rates (2006) (0)
- Automatic Epileptic Seizure Detection in EEG Using Nonsubsampled Wavelet–Fourier Features (2017) (0)
- Recovery of not necessarily band-limited signals from noisy observations (2000) (0)
- Taking Advantage of Typical Testor Algorithms for Computing Non-reducible Descriptors (2022) (0)
- Compatible-domain Transfer Learning for Breast Cancer Classification with Limited Annotated Data (2023) (0)
- On L/sub 1/ convergence rate of RBF networks and kernel regression estimators with applications in classification (1995) (0)
- Hyperspectral image classification via principal component analysis, 2D spatial convolution, and support vector machines (2021) (0)
- Nonparametric Identification of Dynamic No (1997) (0)
- Optimal Wavelets and Neural Networks for Pattern Recognition (2003) (0)
- Nonparametric quantile estimation using importance sampling (2017) (0)
- Multivariate Least Squares Spline Estimates (2002) (0)
- Supervised Classification Using Graph-based Space Partitioning for Multiclass Problems (2021) (0)
- Computer aided root lesion detection using level set and complex wavelets (2007) (0)
- Identification of the robots dynamics using the Hermite series approach (1996) (0)
- On Improving the Efficiency of Eigenface Using a Novel Facial Feature Localization (2009) (0)
- ON THE HERMITE SERIES APPROACH TO NONPARAMETRIC IDENTIFICATION OF HAMMERSTEIN SYSTEMS (2005) (0)
- Self-supervised Out-of-Distribution Detection with Dynamic Latent Scale GAN (2022) (0)
- Consistency of Data-Dependent Partitioning Estimates (2002) (0)
- Convex Cardinality Restricted Boltzmann Machine and Its Application to Pattern Recognition (2014) (0)
- Supervised Classification Box Algorithm Based on Graph Partitioning (2019) (0)
- Editorial (2012) (0)
- Nonparametric recursive identification and control of a flexible joint robot manipulator (2015) (0)
- Nonlinear Function Learning by the Normalized Radial Basis Function Networks (2006) (0)
- On application of nonparametric regression estimation to options pricing (2009) (0)
- Feature Extraction for Patch Matching in Patch-based Denoising Methods (2022) (0)
- entia1 Weighting Algori nstruction of Bandlimited Signals (1996) (0)
- Rates of convergence for adaptive regression estimates with multiple hidden layer feedforward neural networks (2005) (0)
- Small bowel image classification based on Fourier-Zernike moment features and canonical discriminant analysis (2013) (0)
- Least Squares Estimates I: Consistency (2002) (0)
- Identification of hammerstein systems by the hermite series estimate with application to flexible robot manipulators control (1989) (0)
- Preprint of the paper published in: Nonlinear Analysis Theory and Methods vol. 47 nr 1 pp 303-314, 2001 Clipped median and space-lling curves in image ltering (2013) (0)
- Why Is Nonparametric Regression Important (2002) (0)
- Least Squares Estimates II: Rate of Convergence (2002) (0)
- Estimating quantiles in imperfect simulation models using conditional density estimation (2018) (0)
- Manifold-Based Classifier Ensembles (2020) (0)
- Noise reduction of shot-noise-dominated hyperspectral imagery by combining PCA with existing denoising methods (2021) (0)
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