The scope of Pattern Recognition (PR) includes pattern classification (statistical and structural PR, neural networks, kernel methods, ensemble methods, etc.), clustering, feature extraction and selection, data pre-processing (such as image processing and segmentation), visual object recognition, video analysis, applications in document analysis, biometrics, medical imaging, remote sensing image analysis, multimedia, video surveillance, intelligent transportation, and so on. Methods and applications have both seen tremendous advances in recent years. For example, deep learning methods have boosted performance in many fields such as handwriting recognition, facial recognition, speech recognition, traffic sign recognition, and so on.
Topics 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
Representation and analysis in pixel/voxel images
Support vector machines and kernel methods
Symbolic learning
Active and ensemble learning
Deep learning
Transfer learning
Semi-supervised learning and spectral methods
Model selection
Reinforcement learning and temporal models
SIGNAL PROCESSING (SIGNAL, SPEECH, IMAGE)
Signal and image processing
Image analysis and understanding
Audio and acoustic processing and analysis
Spoken language processing
Sensor array & multichannel signal processing
Segmentation, features and descriptors
Texture and color analysis
Enhancement, restoration and filtering
Coding, compression and super-resolution
Automatic speech and speaker recognition
MEDIA PROCESSING AND INTERACTION (VIDEO, DOCUMENT, MEDICAL, BIOMETRICS, HCI AND VR)
Pattern Recognition for Bioinformatics
Pattern Recognition for Surveillance and Security
Pattern Recognition for Search, Retrieval and Visualization
Pattern Recognition for Art, Cultural Heritage and Entertainment
Industrial image analysis
Gesture and Behavior Analysis
Mixed and Augmented Reality
Human Computer Interaction
Character and Text Recognition
Handwriting Recognition
Document Understanding
Medical image and signal analysis
Computer-aided detection and diagnosis
Human computer interaction
Speech and natural language based interaction
Journal is open access and will publish articles under the Creative Commons Attribution license. This makes it easy for authors to fully comply with open access mandates and retain copyright. We combine open access and expertise in delivering high-quality and rapid publications, from online indexing and in-depth peer review to an efficient, author-friendly production process.
ISSN 1947-5500 IJCSIS, USA.