Department of Pattern Recognition
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Topics (57)
3D Data Modelling (13)
3D Objects Measurement (2)
Bidirectional Texture Function Modelling (7)
BTF Measurement (1)
Virtual Reality (3)
Benchmarking (2)
Classification (4)
Content Based Image Retrieval (CBIR) (1)
Dynamic Textures (3)
Colour Dynamic Textures Synthesis (1)
Dynamic Texture Modelling (1)
Illumination and Rotation Invariance (1)
Image & Video Analysis / Processing (11)
Image Retrieval (2)
Image Segmentation (5)
Image Sequence Restoration (2)
Remote Sensing (1)
Texture Synthesis (1)
Machine Learning (11)
Mixture Models (11)
Application of Distribution Mixtures (3)
Feature Selection (4)
Mammogram Enhancement (2)
Mathematical Image Modelling (1)
Medical Image Recognition (1)
Pattern Recognition (1)
Probabilistic Expert Systems (1)
Probabilistic Neural Networks (2)
Probabilistic Texture Synthesis (5)
Sampling Based Texture Synthesis (2)
Spatial Data Modelling (1)
Statistical Pattern Recognition (8)
Document Classification (1)
Textural Features (1)
Texture Editing (1)
Texture Segmentation (2)
Visual quality measures (1)
Home
Topics
3D Data Modelling
Benchmarking
Classification
Content Based Image Retrieval (CBIR)
Dynamic Textures
Illumination and Rotation Invariance
Image & Video Analysis / Processing
Machine Learning
Mathematical Image Modelling
Medical Image Recognition
Multidimensional Texture Modelling
Multispectral Textures
Pattern Recognition
Probabilistic Expert Systems
Probabilistic Neural Networks
Probabilistic Texture Synthesis
Sampling Based Texture Synthesis
Spatial Data Modelling
Statistical Pattern Recognition
Textural Features
Texture Editing
Texture Segmentation
Visual quality measures
Preprocessing of Mammograms
Jiří Grim
et al.
A Statistical Approach to Local Evaluation of a Single Texture Image (PRASA 2005)
Diagnostic Enhancement of Screening Mammograms Based on Local Statistical Texture Models (DAR 2007)
Preprocessing of Screening Mammograms Based on Local Statistical Models (ISABEL 2011)
Evaluation of Screening Mammograms by Local Structural Mixture Models (SPMS 2012)
Mixtures and Classification
Jiří Grim
et al.
EM Cluster Analysis for Categorical Data (S+SSPR 2006)
Structural Poisson Mixtures for Classification of Documents (ICPR 2008)
Approximating Probability Densities by Mixtures of Gaussian Dependence Trees (SPMS 2014)
Feasibility Study of an Interactive Medical Diagnostic Wikipedia (SPMS 2016)
Image Processing
Jiří Grim
et al.
Color Texture Segmentation by Decomposition of Gaussian Mixture Model (CIARP 2006)
Texture Oriented Image Inpainting Based on Local Statistical Model (IASTED SIP 2008)
Digital Image Forgery Detection by Local Statistical Models (IIH-MSP-2010)
Distribution Mixtures
Jiří Grim
EM Algorithm & Modifications (January 2017)
Applications of Product Mixtures (January 2017)
Bidirectional Texture Function Modeling
Michal Haindl
Jiří Filip
CVPR 2010 half-day tutorial
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