Call for Papers (CFP
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International Conference on Computing and Pattern Recognition (ICCPR) series held annually to provide a common platform for the cross fertilization of ideas, and for shaping knowledge and scientific achievements by bridging Computing and Pattern Recognition these two important and complementary disciplines into an interactive and attractive forum. Keeping this objective in mind, ICCPR solicits original contributions in the following non exclusive lists of areas:
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Track I: Computer Vision and Image Processing Image segmentation and annotation Object detection and recognition Image generation and synthesis Video analysis and action recognition Image quality assessment and enhancement |
Track II: Pattern Recognition and Data Mining Pattern classification and clustering Feature selection and dimensionality reduction Anomaly detection and outlier analysis Applications of pattern recognition in biomedicine and healthcare Data mining and knowledge discovery |
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Track III: Machine Learning and Deep Learning Machine learning algorithms and methods Deep learning models and architectures Reinforcement learning and transfer learning Feature extraction and representation learning Reinforcement learning and adaptive learning |
Track IV: Natural Language Processing and Text Analysis Language models and semantic representation Machine translation and cross-lingual processing Text classification and sentiment analysis Named entity recognition and relation extraction Text generation and summarization |
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Track V: Human-Computer Interaction and Intelligent Systems Multimodal interaction and affective computing Virtual reality and augmented reality Intelligent recommendation and personalized services Human-Computer collaboration and intelligent assistants Autonomous driving and intelligent transportation |
Track VI: Data Analysis and Big Data Data preprocessing and cleansing Large-scale data analysis and processing Data visualization and interaction Data privacy and security Data analysis in cloud computing environments |
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Track VII: Face Recognition and Biometrics Face detection and recognition Biometric identification and authentication Contactless biometric recognition technologies Multimodal biometric systems Facial expression analysis and emotion recognition |
Track VIII: Time Series Analysis and Forecasting Time series modeling and analysis Time series forecasting and trend analysis Event detection and anomaly detection High-dimensional time series analysis Time series data mining and applications |
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Track IX: Reinforcement Learning and Adaptive Control Model-based reinforcement learning Model-free reinforcement learning Multi-agent reinforcement learning Adaptive control and optimization Deep reinforcement learning and real-world applications |
Track X: Media Analysis and Content Understanding Video content analysis and understanding Audio signal processing and music analysis Image and video retrieval Media understanding and semantic analysis Social media analysis and mining |
