International Workshop on Pattern Recognition (ICOPR)

Description

The International Workshop on Pattern Recognition (ICOPR) covers topics such as:

  • Pattern Recognition and Machine Learning
    • Machine learning and data mining
    • Statistical, syntactic and structural pattern recognition
    • Dimensionality reduction and manifold learning
    • Artificial neural networks
    • Representation and analysis in pixel/voxel images
    • Classification and clustering
    • Symbolic learning
    • Support vector machines and kernel methods
    • Deep learning
    • Active and ensemble learning
    • Semi-supervised learning and spectral methods
    • Transfer learning
    • Reinforcement learning and temporal models
    • Model selection
  • Computer Vision
    • Early vision
    • Vision sensors
    • Biologically motivated vision
    • Low-level vision
    • Image based modeling
    • Illumination and reflectance modeling
    • Perceptual organization
    • Physics-based vision
    • Computational photography
    • Shape modeling and encoding
    • Motion, tracking and video analysis
    • 3D shape recovery
    • Scene understanding
    • 2D/3D object detection and recognition
    • Stereo and multiple view geometry
    • Occlusion and shadow detection
    • Vision for graphics
    • Reconstruction and camera motion estimation
    • Cognitive and embodied vision
    • Vision for robotics
  • Document Analysis, Biometrics and Pattern Recognition Applications
    • Pattern Recognition for Surveillance and Security
    • Pattern Recognition for Bioinformatics
    • Pattern Recognition for Art, Cultural Heritage and Entertainment
    • Pattern Recognition for Search, Retrieval and Visualization
    • Gesture and Behavior Analysis
    • Industrial image analysis
    • Inpainting and Superimposing
    • Mixed and Augmented Reality
    • Human Computer Interaction
    • Signal Processing for Astronomy
    • Character and Text Recognition
    • Display Hardware
    • Graphics Recognition
    • Handwriting Recognition
    • Performance Evaluation
    • Document Understanding
    • Speech and natural language based interaction
    • Human computer interaction
    • Affective computing
    • Human body motion and gesture based interaction
    • Group interaction: analysis of verbal and non-verbal communication
    • Facial expression recognition
    • Multi-biometrics
    • Biometric systems and applications
    • Fingerprint recognition
    • Forensic biometrics and its applications
    • Iris recognition
    • Face recognition
    • Speaker recognition
    • Gate recognition
    • Soft biometrics
    • Other biometric modalities
    • Other applications
    • Security issues
  • Image, Speech, Signal and Video Processing
    • Image and video analysis and understanding
    • Signal, image and video processing
    • Spoken language processing
    • Audio and acoustic processing and analysis
    • Segmentation, features and descriptors
    • Sensor array & multichannel signal processing
    • Enhancement, restoration and filtering
    • Texture and color analysis
    • Automatic speech and speaker recognition
    • Coding, compression and super-resolution
    • Multimedia analysis, indexing and retrieval
  • Algorithms for molecular biology
  • Biomedical Image Analysis
    • Biological image and signal analysis
    • Medical image and signal analysis
    • Computer-aided detection and diagnosis
    • Modeling, simulation and visualization
    • Content based image retrieval and data mining
    • Image guidance and robot guidance of interventions
    • Segmentation of medical images
    • Medical and biological imaging
    • Volumetric image analysis
    • Molecular and cellular image analysis
    • Computational anatomy and digital human
    • Deformable object tracking and registration
    • Medical robotics
    • VR/AR in medical education, diagnosis and surgery
    • Data mining for biological databases
    • Brain-computer interfaces

The International Workshop on Pattern Recognition (ICOPR) brings together engineers, researchers and scientists from around the world.

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Important

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