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ANNPR 2014 : Artificial Neural Networks in Pattern Recognition


Conference Series : Artificial Neural Networks in Pattern Recognition
When Oct 6, 2014 - Oct 8, 2014
Where Montreal
Submission Deadline May 5, 2014
Notification Due Jun 30, 2014
Final Version Due Jul 18, 2014
Categories    neural networks   pattern recognition   machine learning   data mining

Call For Papers

Sixth IAPR TC3 International Workshop on
Artificial Neural Networks in Pattern Recognition
October 6-8, 2014
Concordia University, Montreal, Canada

ANNPR 2014 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

Note: A PDF of the Call for Papers may be downloaded at:

Invited Speakers

ANNPR 2014 is proud to announce the following invited speakers:

Dr. Yoshua Bengio, Canada
Full Professor of the Department of Computer Science and Operations Research,
University of Montreal
Research Areas: Machine learning (ML), neural computation and adaptive perception,
statistical learning algorithms

Dr. Zhi-Hua Zhou, China
Professor in the Department of Computer Science & Technology, Nanjing University, China
Research Areas: Machine learning, data mining, pattern recognition,
multimedia information retrieval

Dr. Michael Herrmann, U.K.
Lecturer at The University of Edinburgh School of Informatics
Research Areas: Neurocomputation, neural nets, learning theory in autonomous agents &
behavioral neuroscience, ML, dynamics of neural systems

More information can be found on our homepage (see below)

Special Sessions

Fellow scientists wishing to organize a special session should submit a proposal to
the ANNPR chairs (

Proposals should include the session title, a list of topics covered by the session
and a list of 3-6 papers for possible presentation in the session. Proposals must be
received by March 15th, 2014.

Important Dates

Proposals of special sessions: March 15th, 2014
Paper submission: May 5th, 2014
Notification of acceptance: June 30th, 2014
Camera ready due: July 18, 2014
Workshop: October 6-8, 2014

General Chairs

Ching Suen, Concordia University Canada
Friedhelm Schwenker, Ulm University, Germany
Neamat El Gayar, Cairo University, Egypt/Canada

For more information, please visit or contact us:

Related Resources

CVPR 2017   Computer Vision and Pattern Recognition
IJCAI 2017   International Joint Conference on Artificial Intelligence
ICML 2017   34th International Conference on Machine Learning
MLDM 2017   Machine Learning and Data Mining in Pattern Recognition
PAKDD 2017   The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining
NIPS 2016   The Thirtieth Annual Conference on Neural Information Processing Systems
IWANN 2017   International Work-Conference on Artificial Neural Networks
ANNPR 2016   Artificial Neural Networks for Pattern Recognition
IbPRIA 2017   8th Iberian Conference on Pattern Recognition and Image Analysis
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017