Welcome to WPRDM 2024

2024 2nd Workshop on Pattern Recognition and Data Mining (WPRDM 2024)

Following the successes of TDI conference series WABD 2021 (Spring version), CMMHC 2021 (Autumn version), 2024 2nd Workshop on Pattern Recognition and Data Mining (WPRDM 2024) will be held in Wuhan, China during December 7th-8th, 2024.

The aim of the workshop is to bring together researchers from all over the world dealling with pattern recognition and data mining and discuss the recent status of the research to direct further developments. Professionals research in computer vision, image, sound, speech, pattern recognition, and machine intelligence are welcome. Paper submissions should be related but not limited to the topics listed right side.

WPRDM 2024 will primarily be held in person in Wuhan, China, but remote presentations and attendance are also welcome.

CONFERENCE Keynotes

CONFERENCE COMMITTEE

SUBMISSION GUIDELINES

Conference Registration

Call for Papers

Authors are invited to submit high-quality original technical papers for presentation at the conference and publication in the conference proceedings. Please check the topics of WPRDM 2024. The topics are not limited to those as below:

If you can't find your topic, please contact Emma directly wprdm2024@wprdm.com for recommendations.

Classification and clustering
Statistical learning theory
Syntactic and structural pattern recognition
Neural network architectures and models
Graph models
Deep learning
Representation learning
Online learning and continual learning
Supervised, unsupervised, self-supervised and semi-supervised learning
Transfer learning and meta learning
Multi-modal and multi-view learning
Active and ensemble learning
Reinforcement learning
Compressed sensing and sparse representation
Large scale learning and big data
Recurrent networks, temporal models and non-feed-forward methods
Low-shot and long-tailed learning
Generative models

Sensor array and multichannel signal processing
Image and video processing
Enhancement, restoration and filtering
Segmentation, features and descriptors
Coding, compression and super-resolution
Speech and speaker recognition
Audio and acoustic processing
Computational photography
Models, representations, and techniques for image mining
Image analysis with ill-structured and spatial information
Text and symbol recognition
Handwritten text recognition
Document image analysis
Document understanding
Natural language processing
Scene text detection and recognition
Graphics recognition
Content based image retrieval and data mining
Visual question and answering
Multimedia document analysis
Media analysis for augmented and virtual reality
Multimodal fusion
Table detection, recognition, and structure extraction
Video text detection and recognition
Human-document interaction

Early and low-level vision
Stereo and 3D vision
Multiple view geometry
Object detection and recognition
Motion, tracking and video analysis
Deformable models and registration
Learning for vision
Scene analysis and understanding
Action and behavior recognition
Vision and language
Perception for autonomous navigation and/or driving
Vision for robotics, robot navigation and SLAM
Perceptually driven reinforcement learning

Scalable data preprocessing
Parallel and distributed data mining algorithms
Mining on data streams
Graph and subgraph mining
Methodologies on large-scale data mining
Text, video, multimedia data mining
Web mining
High performance data mining algorithms
Data mining visualization
Security and privacy issues
Competitive analysis of mining algorithms
Data mining systems in finance and e-commerce