Hammadi Nait-Charif

Dr Hammadi Nait-Charif

  • 01202 966702
  • hncharif at bournemouth dot ac dot uk
  • Principal Academic in Computer Animation
  • Weymouth House W237, Talbot Campus, Fern Barrow, Poole, BH12 5BB
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Journal Articles

  • Poudel, R.P.K., Fonseca, J.A.S., Zhang, J.J. and Nait-Charif, H., 2013. A unified framework for 3D hand tracking. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8033 LNCS (PART 1), 129-139.
  • Nait-Charif, H., 2010. Complex-valued neural networks fault tolerance in pattern classification applications. Proceedings - 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010, 3, 154-157.
  • Taleb, T., Bottazzi, D., Guizani, M. and Nait-Charif, H., 2009. ANGELAH: A Framework for Assisting Elders At Home. IEEE Journal on Selected Areas in Communications, 27, 480-494.
  • Xiao, Z., Nait-Charif, H. and Zhang, J.J., 2009. Real time automatic skeleton and motion estimation for character animation. Computer Animation and Virtual Worlds, 20, 523-531.
  • McKenna, S.J. and Nait-Charif, H., 2007. Tracking human motion using auxiliary particle filters and iterated likelihood weighting. Image and Vision Computing, 25, 852-862.
  • McKenna, S.J. and Nait-Charif, H., 2006. Tracking the activity of participants in a meeting. Machine Vision and Applications, 17, 83-93.
  • McKenna, S.J. and Nait-Charif, H., 2004. Summarising contextual activity and detecting unusual inactivity in a supportive home environment. Pattern Analysis and Applications, 7, 386-401.
  • Bhuiyan, I.H., Hasan, M.K., Nait-Charif, H. and Yahagi, T., 2001. Image compression with neural networks using dynamic construction algorithm. Journal of Signal Processing, 5, 445-454.
  • Daoudi, E., Jaara, E.M. and Nait-Charif, H., 2001. Parallelisation de la compression d'image (parallelization of neural network-based image compression). Reseaux et Systeme Repartis, 361-369.
  • Zouggar, S., Nait-Charif, H. and Azizi, M., 2000. Neural control and transient analysis of the LCL-type resonant converter. The European Physical Journal - Applied Physics, 11, 21-27.
  • Nait-Charif, H. and Ito, H., 1998. Improving the performance of feedforward neural networks by noise injection into hidden neurons. Journal of Intelligent and Robotic Systems, 21, 103-115.
  • Nait-Charif, H., Ohmameuda, T., Kaneko, K. and Ito, H., 1998. Dynamic constructive fault tolerant algorithm for feedforward neural networks. IEICE Transactions on Information and Systems, E81-D, 115-123.
  • Nait-Charif, H. and Ito, H., 1998. On the activation function and fault tolerance in feedforward neural networks. IEICE Transactions on Information and Systems, E81-D, 66-72.
  • Nait-Charif, H. and Ito, H., 1997. A learning algorithm for fault tolerant feedforward neural networks. IEICE Transactions on Information and Systems, E80-D, 21-27.

Chapters

  • Poudel, R.P.K., Nait-Charif, H., Zhang, J.J. and Liu, D., 2012. Region-based skin color detection. 301-306.
  • Xiao, Z., Nait-Charif, H. and Zhang, J.J., 2008. Automatic Estimation of Skeletal Motion from Optical Motion Capture Data. Motion in Games - First International Workshop, MIG 2008, Revised Papers. Springer, 144-153.
  • Nait-Charif, H. and McKenna, S.J., 2004. Activity summarisation and fall detection in a supportive home environment. In: Kittler, J., Petrou, M. and Nixon, M., eds. Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. Los Alamitos: IEEE Computer Society, 323-326.
  • McKenna, S.J. and Nait-Charif, H., 2004. Learning spatial context from tracking using penalized likelihood estimation. In: Kittler, J., Petrou, M. and Nixon, M., eds. Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. Los Alamitos: IEEE Computer Society, 138-141.
  • Nait-Charif, H. and McKenna, S.J., 2004. Tracking poorly modeled motion using particle filters with iterated likelihood weighting. In: Hong, K.-S. and Zhang, Z., eds. ACCV 2004 : proceedings of the sixth Asian conference on computer vision. Seoul(?): Asian Federation of Computer Vision Societies, 156-161.
  • Nait-Charif, H. and Salam, F., 2000. Neural networks-based image compression system. Proceedings of the 43rd IEEE Midwest Symposium on Circuits and Systems. Lansing, MI, USA: IEEE, 446-449.
  • Nait-Charif, H., Ohmameuda, T., Kaneko, K. and Ito, H., 1997. Dynamic construction of fault tolerant feedforward neural networks. IEICE Technical Report. IEICE (Institute of Electronics, Information and Communication Engineers), 31-38.
  • Nait-Charif, H., Ohmameuda, T., Kaneko, K. and Ito, H., 1997. Fault tolerant constructive algorithm for feedforward neural networks. Proceedings of the 1997 Pacific Rim International Symposium on Fault-Tolerant Systems. Washington, DC, USA: IEEE Computer Society, 215-220.
  • Nait-Charif, H., Nasir, A. and Ito, H., 1997. Improving fault tolerance and generalization ability by noise injection into hidden neurons. Proceedings of the IEICE Spring Conference. IEICE (Institute of Electronics, Information and Communication Engineers), 238.
  • Nasir, A., Nait-Charif, H. and Ito, H., 1997. Output smoothing: a learning algorithm for fault tolerant neural networks. Proceedings of the IEICE Spring Conference. IEICE (Institute of Electronics, Information and Communication Engineers), 239.
  • Nait-Charif, H. and Ito, H., 1996. A learning algorithm for fault tolerant feedforward neural networks. IEICE Technical Report. IEICE (Institute of Electronics, Information and Communication Engineers), 23-30.
  • Nait-Charif, H. and Ito, H., 1996. A new energy function for fault tolerant neural networks. Proceedings of IEICE Spring Conference. IEICE (Institute of Electronics, Information and Communication Engineers), 203.
  • Nait-Charif, H., Ohmameuda, T. and Ito, H., 1995. Training method for fault tolerant feedforward neural networks. Proceedings of IEICE Fall Conference. IEICE (Institute of Electronics, Information and Communication Engineers).

Conferences

  • Marimon, E., Nait-Charif, H., Khan, A., Marsden, P.A. and Diaz, O., 2016. Detailed analysis of scatter contribution from different simulated geometries of X-ray detectors. 203-210.
  • Poudel, R.P.K., Fonseca, J.A.S., Zhang, J.J. and Nait-Charif, H., 2013. A Unified Framework for 3D Hand Tracking. 129-139.
  • Nait-Charif, H., Breen, A. and Thompson, P., 2012. Vertebrae Tracking in Lumbar Spinal Video-Fluoroscopy Using Particle Filters with Semi-automatic Initialisation. In: Bebis, G. et al., eds. International Symposium on Visual Computing (ISVC) 16-18 July 2012 Crete, Greece. Springer, 61-69.
  • Somasekharan, A., Nait-Charif, H. and Zhang, J., 2012. Generating Realā€time Muscle Activations for Skeletal Hand Motion: An Evolutionary Approach. In: Computer Graphics International CGI 2012 12-15 June 2012 Poole.
  • Taleb, T., Bottazzi, D. and Nait-Charif, H., 2009. An Advanced Home ElderCare Service. In: HEALTHINF 2009: International Conference on Health Informatics 14-17 January 2009 Porto, Portugal. NSTICC Press 2009, 30-37.
  • Xiao, Z., Nait-Charif, H. and Zhang, J.J., 2008. Automatic Estimation of Skeletal Motion from Optical Motion Capture Data. Springer, 144-153.
  • Aboutni, R., El Hitmy, M., Jaara, E.M. and Nait-Charif, H., 2005. Impact of texture images compression using discrete cosine transform on the texture parameters. In: International Conference on Pattern Recognition and Information Processing May 2005 Minsk, Belarus.
  • McKenna, S.J., Nait-Charif, H. and Frank, T., 2005. Towards video understanding for laparoscopic surgery: instrument tracking. In: Image and Vision Computing New Zealand Conference 28-29 November 2005 Dunedin, New Zealand.
  • McKenna, S.J., Nait-Charif, H., Marquies-Faulkes, F. and Newel, A., 2003. Activity monitoring for independent living using ceiling-mounted visual sensors. In: International Conference on Aging, Disability and Independence December 2003 Virginia, USA.
  • Nasri, M., Aboutni, R., El Hitmy, M., Nait-Charif, H. and Jender, H., 2003. Cascade system genetic algorithm - multilayer neural network for a supervised classification of texture images. In: Third Workshop on Physics in Signal and Image Processing 29-31 January 2003 Grenoble, France.
  • Nait-Charif, H. and McKenna, S.J., 2003. Head tracking and action recognition in a smart meeting room. In: IEEE Workshop on Performance Evaluation of Tracking and Surveillance (PETS-ICVS) 24-31 March 2003 Graz, Austria.
  • Bhuiyan, I.H., Hasan, M.K., Haque, M.A. and Nait-Charif, H., 2001. A robust method for image compression using dynamically constructive neural network. In: Boashash, B., Salleh, S.H.S. and Abed Meraim, K., eds. Signal Processing and its Applications: Sixth International Symposium 13-16 August 2001 Kuala Lumpur, Malaysia. Malaysia: Universiti Teknologi Malaysia, 525-528.
  • Zouggar, S., Nait-Charif, H. and Azizi, M., 2000. Dynamic analysis and control design of the LCL type resonant convertor. In: International Conference on Artificial and Computational Intelligence for Decision, Control and Automation in Engineering and Industrial Applications (ACIDCA 2000) 22-24 March 2000 Monastir, Tunisia.
  • Daoudi, E., Jaara, E.M. and Nait-Charif, H., 2000. Parallel methods for image compression using multilayer neural networks. In: International Conference on Artificial and Computational Intelligence for Decision, Control and Automation in Engineering and Industrial Applications (ACIDCA 2000) 22-24 March 2000 Monastir, Tunisia. 15-20.
  • Ouriachi, H., Hamad, D., Nait-Charif, H. and Barboucha, M., 1999. Unsupervised classification using evolutionary programming approach and Akaike criteria. In: 14th International Symposium on Computers and Information Sciences (ISCIS99) 18-20 October 1999 Izmir, Turkey.
  • Nait-Charif, H., Ohmameuda, T., Kaneko, K. and Ito, H., 1997. Fault tolerant learning technique for neural networks. In: The Institute of Electronics, Information and Communication Engineers (IEICE) Fall Conference September 1997.
  • Nait-Charif, H. and Ito, H., 1997. Noise injection into hidden neurons: a learning technique for enhancing the performance of feedforward neural networks. In: International Conference on Neural Networks and their Applications (NEURAP97) March 1997 Marseilles, France. 245-251.
  • Nait-Charif, H. and Ito, H., 1996. A fault tolerant learning algorithm for feedforward neural networks. In: International Workshop on Fault Tolerant Parallel Processing April 1996 Hawaii.
The data on this page was last updated at 04:05 on April 28, 2017.