Open Science Research Excellence

ICPAPR 2020 : International Conference on Pattern Analysis and Pattern Recognition

Cape Town, South Africa
April 16 - 17, 2020

Call for Papers

ICPAPR 2020 : International Conference on Pattern Analysis and Pattern Recognition is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Pattern Analysis and Pattern Recognition. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:
  • THEORY AND METHODS
  • Pattern Recognition and Machine Learning
  • Image, Speech, Signal and Video Processing
  • Document Analysis, Biometrics and Pattern Recognition Applications
  • Biomedical Image Analysis
  • Exact and Approximate Inference
  • ble Methods
  • Neural Networks
  • Kernel Methods
  • Large Margin Methods
  • Classification
  • Regression
  • Sparsity
  • Feature Selection and Extraction
  • Spectral Methods
  • Embedding and Manifold Learning
  • Similarity and Distance Learning
  • Matrix Factorization
  • Clustering
  • Fuzzy Logic
  • Active Learning
  • Cost-sensitive Learning
  • Incremental Learning
  • ion
  • Information Retrieval and Learning
  • Hybrid Learning Algorithms
  • Planning and Learning
  • Convex Optimization
  • Stochastic Methods
  • Combinatorial Optimization
  • Multiclassifier Fusion
  • APPLICATIONS
  • Natural language processing
  • Document Analysis and Understanding
  • Character Recognition
  • Information retrieval
  • Ranking
  • Web Applications
  • Economics, Business and Forecasting Applications
  • Bioinformatics and Systems Biology
  • Audio and Speech Processing
  • Signal Processing
  • Image Understanding
  • Sensors and Early Vision
  • Motion and Tracking
  • Image-based Modelling
  • Shape Representation
  • Object Recognition
  • Video Analysis
  • Medical Imaging
  • Learning and Adaptive Control
  • Perception
  • Learning in Process Automation
  • Learning of Action Patterns
  • Virtual Environments
  • Robotics
  • Biometrics
  • Bases and Frames Theory
  • Wavelets and Filter Banks
  • Wavelet and Sampling
  • Wavelet Approximation Theory
  • Spline Theory
  • Time-Frequency Analysis
  • Wavelet and Statistics
  • Wavelet and Differential and Integral Equations
  • Wavelet and Numerical and Functional Analysis
  • Wavelet Neural Network
  • Hardware and Software Implementation of Wavelet Transforms
  • Pattern Recognition and Its Applications