Krzysanek, V.[Vladislav]
* 2001: Images of Imperfectly Ordered Motifs: Properties, Analysis, and Reconstruction
* 2001: Material Identification Using Laser Spectroscopy and Pattern Recognition Algorithms
Includes: Krzysanek, V.[Vladislav] Krzysánek, V.[Vladislav]
Krzyscin, J.[Janusz]
* 2022: 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]
* 2022: Information-Based Control of Robots in Search-and-Rescue Missions With Human Prior Knowledge
Krzystek, P.[Peter]
* 2006: Analysis of Full Waveform Lidar Data for Tree Species Classification
* 2007: Combined Tree Segmentation and Stem Detection Using Full Waveform Lidar Data
* 2007: Single Tree Detection in Forest Areas with High-Density LIDAR Data
* 2008: 3D Segmentation of Full Waveform LIDAR Data for Single Tree Detection Using Normalized Cut
* 2009: 3D segmentation of single trees exploiting full waveform LIDAR data
* 2009: Automatically reconstructed roof shapes for LiDAR strip adjustment and quality control
* 2009: LiDAR Strip Adjustment using Automatically Reconstructed Roof Shapes
* 2011: Extraction of Non-forest Trees for Biomass Assessment Based on Airborne and Terrestrial LiDAR Data
* 2012: Identifying Standing Dead Trees In Forest Areas Based On 3d Single Tree Detection From Full Waveform Lidar Data
* 2015: Active learning approach to detecting standing dead trees from ALS point clouds combined with aerial infrared imagery
* 2015: Detection of fallen trees in ALS point clouds using a Normalized Cut approach trained by simulation
* 2016: Classification Of Urban Aerial Data Based On Pixel Labelling With Deep Convolutional Neural Networks And Logistic Regression
* 2017: voting-based statistical cylinder detection framework applied to fallen tree mapping in terrestrial laser scanning point clouds, A
* 2018: Adaptive stopping criterion for top-down segmentation of ALS point clouds in temperate coniferous forests
* 2018: Learning a constrained conditional random field for enhanced segmentation of fallen trees in ALS point clouds
* 2019: Classification of Tree Species as Well as Standing Dead Trees Using Triple Wavelength ALS in a Temperate Forest
* 2019: Semantic Labeling of Als Point Clouds for Tree Species Mapping Using The Deep Neural Network Pointnet++
* 2020: Detection of radioactive waste sites in the Chornobyl exclusion zone using UAV-based lidar data and multispectral imagery
* 2020: Large-Scale Mapping of Tree Species and Dead Trees in Šumava National Park and Bavarian Forest National Park Using Lidar and Multispectral Imagery
* 2021: Combining graph-cut clustering with object-based stem detection for tree segmentation in highly dense airborne lidar point clouds
* 2024: Open Benchmark Dataset for Forest Characterization from Sentinel-1 and -2 Time Series, An
Includes: Krzystek, P.[Peter] Krzystek, P.
21 for Krzystek, P.
Krzyston, J.[Jakob]
* 2021: Modulation Pattern Detection Using Complex Convolutions in Deep Learning
Krzyszczak, J.[Jaromir]
* 2024: Modeling and Estimating the Land Surface Temperature (LST) Using Remote Sensing and Machine Learning (Case Study: Yazd, Iran)
Krzyz.ak, A.[Adam]
* 2012: Analysis of White Blood Cell Differential Counts Using Dual-Tree Complex Wavelet Transform and Support Vector Machine Classifier
Krzyzak, A.
* 1988: Reconstruction of Two-Dimensional Patterns from Fourier Descriptors
* 1989: Reconstruction of Two-Dimensional Patterns from Fourier Descriptors
* 1991: Invariants and Pose Determination
* 1992: Methods of Combining Multiple Classifiers and Their Applications to Handwriting Recognition
* 1992: Range image segmentation and fitting by residual consensus
* 1992: Unsupervised and supervised classifications by rival penalized competitive learning
* 1994: Nonparametric classification using radial basis function nets and empirical risk minimization
* 1994: On L1 convergence rate of RBF networks and kernel regression estimators with applications in classification
* 1994: Robust Estimation for Range Image Segmentation and Reconstruction
* 1996: Fast K-NN Classification Rule Using Metrics on Space-Filling Curves
* 1996: Radial Basis Function Networks and Nonparametric Classification: Complexity Regularization and the Rates of Convergence
* 1998: Radial Basis Function Networks in Nonparametric Classification and Function Learning
* 1999: Recognition of handwritten numerals by Quantum Neural Network with fuzzy features
* 2000: Learning and Design of Principal Curves
* 2000: Piecewise Linear Skeletonization Using Principal Curves
* 2000: Radial Basis Function Networks and Complexity Regularization in Function Learning and Classification
* 2001: multi-net local learning framework for pattern recognition, A
* 2002: Piecewise Linear Skeletonization Using Principal Curves
* 2002: Verification Method of Enhancing the Recognizers of Isolated and Touching Handwritten Numerals
* 2003: Contour-based handwritten numeral recognition using multiwavelets and neural networks
* 2005: Cursive word skew/slant corrections based on Radon transform
* 2005: Fast SVM Training Algorithm with Decomposition on Very Large Data Sets
* 2005: Image denoising with neighbour dependency and customized wavelet and threshold
* 2005: Improved Handwritten Chinese Character Recognition System Using Support Vector Machine, An
* 2005: Rotation invariant pattern recognition using ridgelets, wavelet cycle-spinning and Fourier features
* 2006: Invariant Ridgelet-Fourier Descriptor for Pattern Recognition
* 2006: Palmprint Classification using Dual-Tree Complex Wavelets
* 2007: Semi-automatic computer aided lesion detection in dental X-rays using variational level set
* 2008: Cell Phones Personal Authentication Systems Using Multimodal Biometrics
* 2008: Effective shrinkage of large multi-class linear SVM models for text categorization
* 2008: new courtesy amount recognition module of a Check Reading System, A
* 2009: Automated Multimodal Biometrics Using Face and Ear
* 2009: Invariant pattern recognition using radon, dual-tree complex wavelet and Fourier transforms
* 2009: On Improving the Efficiency of Eigenface Using a Novel Facial Feature Localization
* 2010: Denoising of Three Dimensional Data Cube Using Bivariate Wavelet Shrinking
* 2012: Oversampling Methods for Classification of Imbalanced Breast Cancer Malignancy Data
* 2013: Computer-Aided Breast Cancer Diagnosis Based on the Analysis of Cytological Images of Fine Needle Biopsies
* 2016: new geometrical approach for solving the supervised pattern recognition problem, A
* 2017: Classification Boosting by Data Decomposition Using Consensus-Based Combination of Classifiers
* 2018: Filter-based face recognition under varying illumination
* 2018: Prediction-based classification using learning on Riemannian manifolds
* 2018: Supervised Classification Using Feature Space Partitioning
* 2019: Supervised classification using graph-based space partitioning
* 2021: Comparison of Stacking-based Classifier Ensembles using Euclidean and Riemannian Geometries
* 2021: Supervised Classification Using Graph-based Space Partitioning for Multiclass Problems
* 2022: Analysis of Different Deep Learning Architectures to Learn Generalised Classifier Stacking on Riemannian and Grassmann Manifolds
* 2022: New Preprocessing Method for Measuring Image Visual Quality Robust to Rotation and Spatial Shifts, A
* 2022: Refining AttnGAN Using Attention on Attention Network
* 2022: Self-supervised Out-of-Distribution Detection with Dynamic Latent Scale GAN
Includes: Krzyzak, A. Krzyzak, A.[Adam]
49 for Krzyzak, A.