The Workshop proceedings will be published
in the Springer LNAI series.
ANNPR 2018 invites papers that present original work in the areas of neural networks and machine learning oriented to pattern recognition, focusing on their algorithmic, theoretical, and applied aspects. Topics of interest include, but are not limited to:
Supervised, partially supervised, and
Feed-forward, recurrent, and competitive
Kernel machines - Hierarchical modular
architectures and hybrid systems
Combination of neural networks and Hidden
Multiple classifier systems and ensemble
Probabilistic graphical models
- Deep architectures
to Pattern Recognition
Image processing and segmntation
Handwritten recognition and Document
Sensor-fusion and multi-modal processing
Feature extraction, dimensionality reduction
Clustering and vector quantization
Speech and speaker recognition
Data, text, and web mining
ANNPR2018 is organized by the Technical Committee 3 (IAPR TC3) on Neural Networks & Computational Intelligence of the International Association for Pattern Recognition (IAPR). As such, we particularly encourage submissions that fit the Manifesto and the research directions of the TC3 (see http://iapr-tc3.diism.unisi.it/Research.html).
Do not hesitate to contact the ANNPR2018 Chairs for any inquiries.