A New Approach to Detection of Abrupt Changes in Black-and-White Images

[1]  E. Rafajłowicz,et al.  Halton and Hammersley Sequences in Multivariate Nonparametric Regression , 2006 .

[2]  Y. Yatracos Rates of Convergence of Minimum Distance Estimators and Kolmogorov's Entropy , 1985 .

[3]  Leszek Rutkowski,et al.  Stream Data Mining: Algorithms and Their Probabilistic Properties , 2019, Studies in Big Data.

[4]  Hector D. Patiño,et al.  Energy Associated Tuning Method for Short-Term Series Forecasting by Complete and Incomplete Datasets , 2017, J. Artif. Intell. Soft Comput. Res..

[5]  Krystian Lapa,et al.  On Explainable Fuzzy Recommenders and their Performance Evaluation , 2019, Int. J. Appl. Math. Comput. Sci..

[6]  Krystian Lapa,et al.  Genetic Programming Algorithm for Designing of Control Systems , 2018, Inf. Technol. Control..

[7]  Ajay Mittal,et al.  A Survey on Various Edge Detector Techniques , 2012 .

[8]  Leszek Rutkowski,et al.  Evolutionary learning of flexible neuro-fuzzy systems , 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

[9]  Ewaryst Rafajłowicz,et al.  Testing (non‐)linearity of distributed‐parameter systems from a video sequence , 2010 .

[10]  Piotr Duda,et al.  On the Parzen Kernel-Based Probability Density Function Learning Procedures Over Time-Varying Streaming Data With Applications to Pattern Classification , 2020, IEEE Transactions on Cybernetics.

[11]  L. Rutkowski,et al.  Nonparametric recovery of multivariate functions with applications to system identification , 1985, Proceedings of the IEEE.

[12]  Roman Senkerik,et al.  Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic , 2019, J. Artif. Intell. Soft Comput. Res..

[13]  Christophe Claramunt,et al.  Kernel Analysis for Estimating the Connectivity of a Network with Event Sequences , 2017, J. Artif. Intell. Soft Comput. Res..

[14]  L. Rutkowski,et al.  Nonparametric fitting of multivariate functions , 1986 .

[15]  Leszek Rutkowski,et al.  Identification of MISO nonlinear regressions in the presence of a wide class of disturbances , 1991, IEEE Trans. Inf. Theory.

[16]  Oded Koren,et al.  Decision-Making Enhancement in a Big Data Environment: Application of the K-Means Algorithm to Mixed Data , 2019, J. Artif. Intell. Soft Comput. Res..

[17]  Adam Krzyżak,et al.  A New Approach to Detection of Changes in Multidimensional Patterns , 2020, J. Artif. Intell. Soft Comput. Res..

[18]  Adam Krzyzak,et al.  A Distribution-Free Theory of Nonparametric Regression , 2002, Springer series in statistics.

[19]  Lucia Romani,et al.  Edge detection methods based on RBF interpolation , 2019, J. Comput. Appl. Math..

[20]  Luc Devroye,et al.  Combinatorial methods in density estimation , 2001, Springer series in statistics.

[21]  Marcin Gabryel,et al.  New image descriptor from edge detector and blob extractor , 2015 .

[22]  Rafal Grycuk,et al.  Image Descriptor Based on Edge Detection and Crawler Algorithm , 2016, ICAISC.

[23]  Scott A. King,et al.  Collision-Free Autonomous Robot Navigation in Unknown Environments Utilizing PSO for Path Planning , 2019, J. Artif. Intell. Soft Comput. Res..

[24]  Piotr Duda,et al.  A New Method for Data Stream Mining Based on the Misclassification Error , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[25]  Piotr Duda,et al.  New Splitting Criteria for Decision Trees in Stationary Data Streams , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[26]  R. A. Leibler,et al.  On Information and Sufficiency , 1951 .

[27]  Gérard Biau,et al.  Optimal L1 bandwidth selection for variable kernel density estimates , 2005 .

[28]  Radoslaw Nielek,et al.  A Content-Based Recommendation System Using Neuro-Fuzzy Approach , 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[29]  D Marr,et al.  Theory of edge detection , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[30]  Marina L. Gavrilova,et al.  Score Level and Rank Level Fusion for Kinect-Based Multi-Modal Biometric System , 2019, J. Artif. Intell. Soft Comput. Res..

[31]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[32]  Rafal Grycuk,et al.  Video Key Frame Detection Based on SURF Algorithm , 2015, ICAISC.

[33]  P. Qiu NONPARAMETRIC ESTIMATION OF JUMP SURFACE , 2016 .

[34]  V. Susheela Devi,et al.  Parallel MCNN (pMCNN) with Application to Prototype Selection on Large and Streaming Data , 2017, J. Artif. Intell. Soft Comput. Res..

[35]  Chin-Teng Lin,et al.  An Integrative Approach to Analyze Eeg Signals and Human Brain Dynamics in Different Cognitive States , 2017, J. Artif. Intell. Soft Comput. Res..

[36]  Piotr Duda,et al.  Decision Trees for Mining Data Streams Based on the Gaussian Approximation , 2014, IEEE Transactions on Knowledge and Data Engineering.

[37]  Gregory W. Corder,et al.  Nonparametric Statistics : A Step-by-Step Approach , 2014 .

[38]  Piotr Duda,et al.  The CART decision tree for mining data streams , 2014, Inf. Sci..

[39]  Ewaryst Rafajlowicz,et al.  Local Detection Of Defects From Image Sequences , 2008, Int. J. Appl. Math. Comput. Sci..

[40]  Piotr Duda,et al.  Convergent Time-Varying Regression Models for Data Streams: Tracking Concept Drift by the Recursive Parzen-Based Generalized Regression Neural Networks , 2017, Int. J. Neural Syst..

[41]  R. Eubank Nonparametric Regression and Spline Smoothing , 1999 .

[42]  Krystian Lapa,et al.  Negative Space-Based Population Initialization Algorithm (NSPIA) , 2018, ICAISC.

[43]  Piotr Duda,et al.  How to adjust an ensemble size in stream data mining? , 2017, Inf. Sci..

[44]  R. Sriraman,et al.  Stability and Dissipativity Analysis for Neutral Type Stochastic Markovian Jump Static Neural Networks with Time Delays , 2019, J. Artif. Intell. Soft Comput. Res..

[45]  Piotr Duda,et al.  Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks , 2017, Inf. Sci..

[46]  Juan José Rodríguez Diez,et al.  Combining univariate approaches for ensemble change detection in multivariate data , 2018, Inf. Fusion.

[47]  Max W. Y. Lam One-Match-Ahead Forecasting in Two-Team Sports with Stacked Bayesian Regressions , 2018, J. Artif. Intell. Soft Comput. Res..

[48]  E. Rafajłowicz,et al.  On optimal global rate of convergence of some nonparametric identification procedures , 1989 .

[49]  L. Rutkowski Application of multiple Fourier series to identification of multivariable non-stationary systems , 1989 .

[50]  Krystian Lapa,et al.  On Explainable Flexible Fuzzy Recommender and Its Performance Evaluation Using the Akaike Information Criterion , 2019, ICONIP.

[51]  H. Müller,et al.  Estimating regression functions and their derivatives by the kernel method , 1984 .

[52]  H. Müller,et al.  Kernel estimation of regression functions , 1979 .

[53]  Simranjit Singh,et al.  Comparison of various edge detection techniques , 2015, 2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom).

[54]  Piotr Duda,et al.  Decision Trees for Mining Data Streams Based on the McDiarmid's Bound , 2013, IEEE Transactions on Knowledge and Data Engineering.

[55]  Radoslaw Nielek,et al.  Towards Interpretability of the Movie Recommender Based on a Neuro-Fuzzy Approach , 2018, ICAISC.

[56]  P. Qiu Jump Surface Estimation, Edge Detection, and Image Restoration , 2007 .

[57]  S. Venkatasubramanian,et al.  An Information-Theoretic Approach to Detecting Changes in Multi-Dimensional Data Streams , 2006 .

[58]  Devvi Sarwinda,et al.  Texture and Gene Expression Analysis of the MRI Brain in Detection of Alzheimer’s Disease , 2018, J. Artif. Intell. Soft Comput. Res..

[59]  Wojciech Rafajlowicz,et al.  Nonparametric Estimation of Continuously Parametrized Families of Probability Density Functions - Computational Aspects , 2020, Algorithms.