2021 4th International Conference on Artificial Intelligence and Pattern Recognition (AIPR 2021)

Conference / Summit (onsite)
Artificial Intelligence (AI) & Machine Learning (ML)

Address: Huaqiao University, Xiamen, China
Date: 17 to 19 Sep '21

Visit Event Website


Publication: 

All accepted papers after proper registration and presentation will be published in International Conference Proceedings Series by ACM (ISBN: 978-1-4503-8408-7), which will be indexed by Ei Compendex and Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science). 


Conference Schedule: 

Friday, September 17, 2021--------10:00-17:00 - Registration, collecting conference materials 

Saturday, September 18, 2021----- 08:30-20:00 - Opening Remark & Keynote Speeches & Presentation Sessions 

Sunday, September 19, 2021-------09:00-17:00 - Tour or Academic Visit 

  
Contact: 

Ms. Dana Chen (Conference Secretary) 

E-mail: aipr@iact.net 

Wechat: 18081079313 

Tel: +86-18081079313; 

4th edition of AIPR will be held in Huaqiao University, located in Xiamen, China during September 17-19, 2021. AIPR2021 is mainly organised by Huaqiao University, co-sponsored by Wuhan Institute of Technology and technically supported by North China University of Technology, International Academy of Computing Technology, etc.

Today, AI is surrounding us, it is coordinated into our every day lives. Artificial Intelligence is empowering machines to behave like humans by adding Emotional Quotient(EQ) to them. Artificial intelligence is a blooming technological advancement, from software’s like Alexa, to basic human command system. Big data can be used to speed up AI development and soon AI will significantly impact our everyday lives. AI is the future and it’s here to stay. In the future, there will be a greater demand for people who can program machines to “think” and enrich human lives. A pattern is a short description of the data. Pattern recognition is how agents make predictions, which is a central problem in AI. Pattern recognition forms the basis of learning and action for all living things in nature. The importance of Pattern Recognition can be traced from its needs in daily life- pattern recognition plays an important role: reading texts, identifying people, retrieving objects, or finding the way in a city. Once patterns are established, learned from some examples or from a teacher, we are able to classify new objects or phenomena into a class of known patterns. Pattern Recognition is a vast area of research and there are endless number of possibilities as pattern recognition is still under research as it is getting more futuristic and intelligent with a great affect in human life in a positive manner.

AIPR conference is intended to foster the dissemination of state-of-the-art research in the area of Artificial Intelligence & Pattern Recognition and the fundamental interaction between them. Authors are invited to submit regular research papers on all related areas. Papers exploring new directions or areas will receive a thorough and encouraging review. Areas of interest include, but not limited to :

Pattern Recognition and Machine Learning

 · 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 Evaluation

Computer Vision and Robot Vision

·· 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

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

Document Analysis, Biometrics and Pattern Recognition Applications

· 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

Biomedical Image Analysis and Applications

· 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

4th edition of AIPR will be held in Huaqiao University, located in Xiamen, China during September 17-19, 2021. AIPR2021 is mainly organised by Huaqiao University, co-sponsored by Wuhan Institute of Technology and technically supported by North China University of Technology, International Academy of Computing Technology, etc.

Today, AI is surrounding us, it is coordinated into our every day lives. Artificial Intelligence is empowering machines to behave like humans by adding Emotional Quotient(EQ) to them. Artificial intelligence is a blooming technological advancement, from software’s like Alexa, to basic human command system. Big data can be used to speed up AI development and soon AI will significantly impact our everyday lives. AI is the future and it’s here to stay. In the future, there will be a greater demand for people who can program machines to “think” and enrich human lives. A pattern is a short description of the data. Pattern recognition is how agents make predictions, which is a central problem in AI. Pattern recognition forms the basis of learning and action for all living things in nature. The importance of Pattern Recognition can be traced from its needs in daily life- pattern recognition plays an important role: reading texts, identifying people, retrieving objects, or finding the way in a city. Once patterns are established, learned from some examples or from a teacher, we are able to classify new objects or phenomena into a class of known patterns. Pattern Recognition is a vast area of research and there are endless number of possibilities as pattern recognition is still under research as it is getting more futuristic and intelligent with a great affect in human life in a positive manner.

AIPR conference is intended to foster the dissemination of state-of-the-art research in the area of Artificial Intelligence & Pattern Recognition and the fundamental interaction between them. Authors are invited to submit regular research papers on all related areas. Papers exploring new directions or areas will receive a thorough and encouraging review. Areas of interest include, but not limited to :

Pattern Recognition and Machine Learning

 · 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 Evaluation

Computer Vision and Robot Vision

·· 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

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

Document Analysis, Biometrics and Pattern Recognition Applications

· 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

Biomedical Image Analysis and Applications

· 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

ALEX KOT CHICHUNG

FELLOW OF IEEE AND FELLOW OF IES

WITOLD PEDRYCZ

IEEE FELLOW

IConf

Media Partner

ALEX KOT CHICHUNG

FELLOW OF IEEE AND FELLOW OF IES

WITOLD PEDRYCZ

IEEE FELLOW

IConf

Media Partner

Venue

Huaqiao University

Organizer

International Academy of Computing Technology

Venue

Huaqiao University

Organizer

International Academy of Computing Technology

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