Krzysanek, V.[Vladislav]
Co Author Listing * Images of Imperfectly Ordered Motifs: Properties, Analysis, and Reconstruction
* Material Identification Using Laser Spectroscopy and Pattern Recognition Algorithms
Includes: Krzysanek, V.[Vladislav] Krzysánek, V.[Vladislav]
Krzyscin, J.[Janusz]
Co Author Listing * Impact of Vertical Profiles of Aerosols on the Photolysis Rates in the Lower Troposphere from the Synergy of Photometer and Ceilometer Measurements in Raciborz, Poland, for the Period 2015-2020
Krzysiak, R.[Rafal]
Co Author Listing * Information-Based Control of Robots in Search-and-Rescue Missions With Human Prior Knowledge
Krzystek, P.
Co Author Listing * 3D Segmentation of Full Waveform LIDAR Data for Single Tree Detection Using Normalized Cut
* 3D segmentation of single trees exploiting full waveform LIDAR data
* Active learning approach to detecting standing dead trees from ALS point clouds combined with aerial infrared imagery
* Adaptive stopping criterion for top-down segmentation of ALS point clouds in temperate coniferous forests
* Analysis of Full Waveform Lidar Data for Tree Species Classification
* Automatically reconstructed roof shapes for LiDAR strip adjustment and quality control
* Classification of Tree Species as Well as Standing Dead Trees Using Triple Wavelength ALS in a Temperate Forest
* Classification Of Urban Aerial Data Based On Pixel Labelling With Deep Convolutional Neural Networks And Logistic Regression
* Combined Tree Segmentation and Stem Detection Using Full Waveform Lidar Data
* Combining graph-cut clustering with object-based stem detection for tree segmentation in highly dense airborne lidar point clouds
* Detection of fallen trees in ALS point clouds using a Normalized Cut approach trained by simulation
* Detection of radioactive waste sites in the Chornobyl exclusion zone using UAV-based lidar data and multispectral imagery
* Extraction of Non-forest Trees for Biomass Assessment Based on Airborne and Terrestrial LiDAR Data
* Identifying Standing Dead Trees In Forest Areas Based On 3d Single Tree Detection From Full Waveform Lidar Data
* Large-Scale Mapping of Tree Species and Dead Trees in Šumava National Park and Bavarian Forest National Park Using Lidar and Multispectral Imagery
* Learning a constrained conditional random field for enhanced segmentation of fallen trees in ALS point clouds
* LiDAR Strip Adjustment using Automatically Reconstructed Roof Shapes
* Open Benchmark Dataset for Forest Characterization from Sentinel-1 and -2 Time Series, An
* Semantic Labeling of Als Point Clouds for Tree Species Mapping Using The Deep Neural Network Pointnet++
* Single Tree Detection in Forest Areas with High-Density LIDAR Data
* voting-based statistical cylinder detection framework applied to fallen tree mapping in terrestrial laser scanning point clouds, A
Includes: Krzystek, P. Krzystek, P.[Peter]
21 for Krzystek, P.
Krzyston, J.[Jakob]
Co Author Listing * Modulation Pattern Detection Using Complex Convolutions in Deep Learning
Krzyszczak, J.[Jaromir]
Co Author Listing * Modeling and Estimating the Land Surface Temperature (LST) Using Remote Sensing and Machine Learning (Case Study: Yazd, Iran)
Krzyz.ak, A.[Adam]
Co Author Listing * Analysis of White Blood Cell Differential Counts Using Dual-Tree Complex Wavelet Transform and Support Vector Machine Classifier
Krzyzak, A.[Adam]
Co Author Listing * Analysis of Different Deep Learning Architectures to Learn Generalised Classifier Stacking on Riemannian and Grassmann Manifolds
* Automated Multimodal Biometrics Using Face and Ear
* Cell Phones Personal Authentication Systems Using Multimodal Biometrics
* Classification Boosting by Data Decomposition Using Consensus-Based Combination of Classifiers
* Comparison of Stacking-based Classifier Ensembles using Euclidean and Riemannian Geometries
* Computer-Aided Breast Cancer Diagnosis Based on the Analysis of Cytological Images of Fine Needle Biopsies
* Contour-based handwritten numeral recognition using multiwavelets and neural networks
* Cursive word skew/slant corrections based on Radon transform
* Denoising of Three Dimensional Data Cube Using Bivariate Wavelet Shrinking
* Effective shrinkage of large multi-class linear SVM models for text categorization
* Fast K-NN Classification Rule Using Metrics on Space-Filling Curves
* Fast SVM Training Algorithm with Decomposition on Very Large Data Sets
* Filter-based face recognition under varying illumination
* Image denoising with neighbour dependency and customized wavelet and threshold
* Improved Handwritten Chinese Character Recognition System Using Support Vector Machine, An
* Invariant pattern recognition using radon, dual-tree complex wavelet and Fourier transforms
* Invariant Ridgelet-Fourier Descriptor for Pattern Recognition
* Invariants and Pose Determination
* Learning and Design of Principal Curves
* Methods of Combining Multiple Classifiers and Their Applications to Handwriting Recognition
* multi-net local learning framework for pattern recognition, A
* new courtesy amount recognition module of a Check Reading System, A
* new geometrical approach for solving the supervised pattern recognition problem, A
* New Preprocessing Method for Measuring Image Visual Quality Robust to Rotation and Spatial Shifts, A
* Nonparametric classification using radial basis function nets and empirical risk minimization
* On Improving the Efficiency of Eigenface Using a Novel Facial Feature Localization
* On L1 convergence rate of RBF networks and kernel regression estimators with applications in classification
* Oversampling Methods for Classification of Imbalanced Breast Cancer Malignancy Data
* Palmprint Classification using Dual-Tree Complex Wavelets
* Piecewise Linear Skeletonization Using Principal Curves
* Prediction-based classification using learning on Riemannian manifolds
* Radial Basis Function Networks and Complexity Regularization in Function Learning and Classification
* Radial Basis Function Networks and Nonparametric Classification: Complexity Regularization and the Rates of Convergence
* Radial Basis Function Networks in Nonparametric Classification and Function Learning
* Range image segmentation and fitting by residual consensus
* Recognition of handwritten numerals by Quantum Neural Network with fuzzy features
* Reconstruction of Two-Dimensional Patterns from Fourier Descriptors
* Refining AttnGAN Using Attention on Attention Network
* Robust Estimation for Range Image Segmentation and Reconstruction
* Rotation invariant pattern recognition using ridgelets, wavelet cycle-spinning and Fourier features
* Self-supervised Out-of-Distribution Detection with Dynamic Latent Scale GAN
* Semi-automatic computer aided lesion detection in dental X-rays using variational level set
* Supervised Classification Using Feature Space Partitioning
* Supervised classification using graph-based space partitioning
* Supervised Classification Using Graph-based Space Partitioning for Multiclass Problems
* Unsupervised and supervised classifications by rival penalized competitive learning
* Verification Method of Enhancing the Recognizers of Isolated and Touching Handwritten Numerals
Includes: Krzyzak, A.[Adam] Krzyzak, A.
47 for Krzyzak, A.