A New Approach to Detection of Abrupt Changes in Black-and-White Images
暂无分享,去创建一个
[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.