Call for Papers
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 | Computer Vision and Robot Vision | Image, Speech, Signal and Video Processing |
|---|---|---|
| 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 |
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 | Biomedical Image Analysis and 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 |
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 |