ANNPR 2016 - International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2016)
Topics/Call fo Papers
IAPR TC3 International Workshop on
Artificial Neural Networks in Pattern Recognition (ANNPR 2016)
September 28-30, 2016
Ulm University, Ulm, Germany
ANNPR 2016 invites papers that present original work in areas of neural networks,
machine learning and pattern recognition, focusing on both theoretical and applied
aspects. Topics of interest include, but not limited to:
Methodological Issues
- Supervised learning
- Unsupervised learning
- Combination of supervised and unsupervised learning
- Feed-forward, recurrent, and competitive neural nets
- Kernel machines
- 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
- Handwritten recognition and Document analysis
- 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
Important Dates
Paper submission: May 4, 2016
Notification of acceptance: June 22, 2016
Camera ready due: July 6, 2016
Workshop: September 28-30, 2016
General Chairs
Friedhelm Schwenker, Ulm University, Germany
Hazem Abbas, German University of Cairo, Egypt
Neamat El Gayar, Cairo University, Egypt
Edmondo Trentin, University of Siena, Italy
For more information, please visit us: http://neuro.informatik.uni-ulm.de/ANNPR2016/
Artificial Neural Networks in Pattern Recognition (ANNPR 2016)
September 28-30, 2016
Ulm University, Ulm, Germany
ANNPR 2016 invites papers that present original work in areas of neural networks,
machine learning and pattern recognition, focusing on both theoretical and applied
aspects. Topics of interest include, but not limited to:
Methodological Issues
- Supervised learning
- Unsupervised learning
- Combination of supervised and unsupervised learning
- Feed-forward, recurrent, and competitive neural nets
- Kernel machines
- 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
- Handwritten recognition and Document analysis
- 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
Important Dates
Paper submission: May 4, 2016
Notification of acceptance: June 22, 2016
Camera ready due: July 6, 2016
Workshop: September 28-30, 2016
General Chairs
Friedhelm Schwenker, Ulm University, Germany
Hazem Abbas, German University of Cairo, Egypt
Neamat El Gayar, Cairo University, Egypt
Edmondo Trentin, University of Siena, Italy
For more information, please visit us: http://neuro.informatik.uni-ulm.de/ANNPR2016/
Other CFPs
- International Workshop on the M2M and H2H Communications Coexistence on 5G Cellular Networks
- Special issue on "Bayesian Nonparametrics"
- 2016 IEEE 6th International Conference on Power and Energy (PECON 2016)
- Special Session on Hybrid Metaheuristics for Dynamic and Uncertain Environments
- Special Issue on Multiobjective Reinforcement Learning: Theory and Applications
Last modified: 2016-01-25 23:10:17