PRAI 2023 Call for Papers

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The PRAI 2023 solicits contributions of abstracts, full papers and posters that address themes and topics of the conference. The topics of interest include, but not limited to the following:

I. Pattern Recognition and Machine Learning (More)

  • Statistical, syntactic and structural pattern recognition
  • Machine learning and data mining
  • Artificial neural networks
  • Dimensionality reduction and manifold learning
  • Classification and clustering
  • Graphical Models for Pattern Recognition
  • Representation and analysis in pixel/voxel images
  • Support vector machines and kernel methods
  • Symbolic learning
  • Active and ensemble learning
  • Deep learning
  • Pattern recognition for big data
  • Transfer learning
  • Semi-supervised learning and spectral methods
  • Model selection
  • Reinforcement learning and temporal models
  • Performance Evaluatio
 

II. Computer Vision and Robot Vision (More)

  • Vision sensors
  • Early/low-level vision
  • Biologically motivated vision
  • Illumination and reflectance modeling
  • Image based modeling
  • Physics-based vision
  • Perceptual organization
  • Shape modeling and encoding
  • Computational photography
  • 3D shape recovery
  • Motion, tracking and video analysis
  • 3D sensors: depth sensors, ToF, Kinect
  • 2D/3D object detection and recognition
  • Activity and event analysis
  • Scene understanding
  • Occlusion and shadow detection
  • Stereo and multiple view geometry
  • Reconstruction and camera motion estimation
  • Vision for graphics
  • Deep learning
  • Vision for robotics
  • Cognitive and embodied visión
  • Humanoid vision

III. Image, Speech, Signal and Video Processing (More)

  • Image, Speech, Signal and Video Processing
  • Image and video analysis and understanding
  • Sensor array & multichannel signal processing
  • Segmentation, features and descriptors
  • Texture and color analysis
  • Enhancement, restoration and filtering
  • Coding, compression and super-resolution
  • Facial expression recognition
  • Affective computing
  • Human computer interaction
  • Human body motion and gesture based interaction
  • Audio and acoustic processing and analysis
  • Automatic speech and speaker recognition
  • Spoken language processing
  • Speech and natural language based interaction
  • Group interaction: analysis of verbal and non-verbal communication
  • Multimedia analysis, indexing and retrieval
  • Depth & range sensor data processing and analysis
 

IV. Document Analysis, Biometrics and Pattern Recognition Applications (More)

  • Character and Text Recognition
  • Handwriting Recognition
  • Graphics Recognition
  • Document Understanding
  • Gesture and Behavior Analysis
  • Mixed and Augmented Reality
  • Face, fingerprint and iris recognition
  • Other biometrics (gait, soft, speaker, periocular, etc.)
  • Novel biometrics
  • Biometric systems and applications
  • Multi-biometrics
  • Forensic biometrics and applications
  • Bioinformatics
  • Surveillance and Security
  • Search, Retrieval and Visualization
  • Art, Cultural Heritage and Entertainment
  • Industrial image analysis
  • Human computer interaction
  • Analysis of humans
  • Pattern and digital evidence
  • Performance analysis and enhancement
  • Applications of pattern recognition to big data

V. Biomedical Image Analysis and Applications (More)

  • Medical image and signal analysis
  • Biological image and signal analysis
  • Modeling, simulation and visualization
  • Computer-aided detection and diagnosis
  • Image guidance and robot guidance of interventions
  • Content based image retrieval and data mining
  • Medical and biological imaging
  • Segmentation of biomedical images
  • Molecular and cellular image analysis
  • Volumetric image analysis
  • Deformable object tracking and registration
  • Computational anatomy and digital human
  • VR/AR in medical education, diagnosis and surgery
  • Medical robotics
  • Imaging and hardware for health care
  • Brain-computer interfaces
  • Data mining for biological databases
  • Algorithms for molecular biology
  • Deep learning for biomedical image analysis
  VI. Artificial Intelligence and Cybersecurity (More)

VII. Artificial Intelligence for Wireless Communications and Internet of Things (More)