Workshop proceedings will be published in the Springer LNAI series.
Authors of selected papers will be invited to submit an extended version of their
articles to a dedicated special issue of the journal Neural Processing
Letters, guest-edited by the ANNPR2016 Chairs and titled “Off the mainstream: advances in neural networks and machine learning for pattern recognition”
Papers are solicited dealing with neural networks, machine learning and pattern recognition which emphasize methodological issues possibly arising in applications.
Topics:
Methodological issues
– Supervised learning
– Unsupervised learning
– Combination of supervised and unsupervised learning
– Feedforward, recurrent, and competitive neural nets
– Hierarchical modular architectures and hybrid systems
– Combination of neural networks and Hidden Markov models
– Multiple classifier systems and ensemble methods
– Probabilistic graphical models
– Kernel methods
– Deep architectures
Applications in Pattern Recognition
– Image processing and segmentation
– Sensor-fusion and multi-modal processing
– Feature extraction, dimension reduction
– Clustering and vector quantization
– Speech and speaker recognition
– Data, text, and web mining
– Bioinformatics/Cheminformatics
Paper Submission:
Potential participants should submit a paper describing their work in one of the areas described above. Instructions for authors, LaTeX templates, etc. are available at the Springer LNCS/LNAI web-site. Submission of a paper constitutes a commitment that, if accepted, one or more authors will attend the workshop. On-line submission via EasyChair will be made available on this web-site timely.
