Export 218 results:
Author Title Type [ Year(Asc)]
Xiong, W., S-C. Chia, J-H. Lim, S. Sankaran, and S. Ahmed, "Detection of Unstained Living Neurospheres from Phase Contrast Images with Very Large Illumination Variations", IEEE International Conference on Engineering in Medicine and Biology Society, Boston, Massachusetts, USA, 2011.
Halary, S., S. Duperron, and T. Boudier, "Direct image-based correlative microscopy technique for coupling identification and structural investigation of bacterial symbionts associated with metazoans", Appl. Environ. Microbiol., vol. 77, no. 12, pp. 4172–4179, 2011.
Biswas, J., A A. Phyo Wai, A. Tolstikov, K. J. H. Lin, M. Jayachandran, S F. Foo, V Y. Lee, C. Phua, J. Zhu, T H. Huynh, et al., "From Context to Micro-context-Issues and Challenges in Sensorizing Smart Spaces for Assistive Living", 2nd International Conference on Ambient Systems, Networks and Technologies (ANT2011), Procedia Computer Science, vol. 5, Niagara Falls, Ontario, Canada, Elsevier, pp. 288–295, 08/2011.
Tiberghien, T., M. Mokhtari, H. Aloulou, J. Biswas, J. Zhu, and V Y. Lee, "Handling User Interface Plasticity in Assistive Environment: UbiSMART Framework", 9th International Conference on Smart Homes and Health Telematics (ICOST), LNCS, vol. 6719, Montréal, Canada, Springer, pp. 256–260, 06/2011.
Palaniappan, S., S. Akshay, B. Genest, and P. S. Thiagarajan, "A Hybrid Factored Frontier Algorithm for Dynamic Bayesian Networks", 9th International Conference on Computational Methods in Systems Biology (CMSB), vol. ACM 978-1-4503-0817-5, pp. 35-44, 2011.
Veillard, A., D. Racoceanu, and S. Bressan, "Incorporating Prior-Knowledge in Support Vector Machines by Kernel Adaptation", ICTAI, 2011.
Goh, H., L. Kusmierz, J-H. Lim, N. Thome, and M. Cord, "Learning Invariant Color Features with Sparse Topographic Restricted Boltzmann Machines", 18th IEEE International Conference on Image Processing, pp. 1241-1244, 2011.
Kulikova, M. S., I. H. Jermyn, X. Descombes, E. Zhizhina, and J. Zerubia, "A marked point process model with strong prior shape information", International Journal of Computer Vision and Image Processing, 2011.
Bertrand, N., and B. Genest, "Minimal Disclosure in Partially Observable Markov Decision Processes", 31th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS), vol. LIPIcs, pp. to appear, 2011.
Rigaud, S. U., and N. Loménie, "Neural stem cell tracking with phase contrast video microscopy", Proceedings of SPIE, vol. 7962, pp. 796230, 2011.
Racoceanu, D., and R O. Teodorescu, PDFibAtl@s - System for detection and prognosis of the Parkinson’s Disease using MRI DTI information fusion, , vol. DL 04137-01, France, CNRS, 05/2011.
Loménie, N., and G. Stamon, "Point Set Analysis", Advances in Imaging and Electron Physics, Peter W. Hawkes, San Diego: Academic Press, vol. 167, pp. 255–294, 2011.
Loménie, N., D. Racoceanu, and G. Stamon, "Point Set Analysis: An Image Analysis Point of View for Rapid Prototyping Technologies", Rapid Prototyping Technology - Principles and Functional Requirements, Ed. M.E. Hoque, vol. 1: InTech, 07/2011.
Ouarti, N., and V.. Hayward, "Specific vibrotactile signals in the feet enhance the experience of Self-Motion", Theo Murphy Meeting on Active touch sensing, Royal Society, 2011.
Phua, C., P. C. Roy, H. Aloulou, J. Biswas, A. Tolstikov, S F. Foo, W. Huang, M A. Feki, J. Maniyeri, A. K. W. Chu, et al., "State-of-the-Art Assistive Technology for People with Dementia", Handbook of Research on Ambient Intelligence and Smart Environments: Trends and Perspectives, vol. 1: IGI Global, pp. 300, 06/2011.
Huang, C-H., A. Veillard, L. Roux, N. Loménie, and D. Racoceanu, "Time-efficient sparse analysis of histopathological Whole Slide Images", CMIG, vol. 35, issue 7, pp. 579-591, 11/2011.
Abdulrazak, B., S. Giroux, M. Mokhtari, B. Bouchard, and H. Pigot, "Towards Useful Services for Elderly and People with Disabilities", 9th International Conference on Smart Homes and Health Telematics (ICOST), LNCS, vol. 6719, Montréal, Canada, Springer, 06/2011.
Lee, Y., Z. Bien, M. Mokhtari, J T. Kim, M. Park, J. Kim, H. Lee, and I. Khalil, "Aging Friendly Technology for Health and Independence", 8th International Conference on Smart Homes and Health Telematics (ICOST), LNCS, vol. 6159, Seoul, Korea, Springer, 06/2010.
Xiong, W., SH. Ong, J-H. Lim, K. Foong, J. Liu, D. Racoceanu, A. Chong, and K. S. W. Tan, "Automatic area classification in peripheral blood smears", Biomedical Engineering, IEEE Transactions on, vol. 57, no. 8: IEEE, pp. 1982–1990, 08/2010.
Goh, H., N. Thome, and M. Cord, "Biasing Restricted Boltzmann Machines to Manipulate Latent Selectivity and Sparsity", NIPS Workshop on Deep Learning and Unsupervised Feature Learning, 2010.
Huang, C-H., D. Racoceanu, L. Roux, and T C. Putti, "Bio-inspired computer visual system using GPU and visual pattern assessment language (ViPAL): application on breast cancer prognosis", The 2010 International Joint Conference on Neural Networks (IJCNN), Barcelona, Spain, IEEE, pp. 1-8, 07/2010.
Jalali, S., J-H. Lim, S. Ong, and J. Tham, "Dictionary of features in a biologically inspired approach to image classification", Neural Information Processing. Models and Applications: Springer, pp. 541–548, 2010.
Veillard, A., N. Loménie, and D. Racoceanu, "An Exploration Scheme for Large Images: Application to Breast Cancer Grading", ICPR: IEEE, pp. 3472–3475, 08/2010.
Kulikova, M. S., I. H. Jermyn, X. Descombes, E. Zhizhina, and J. Zerubia, "Extraction of arbitrarily shaped objects using stochastic multiple birth-and-death dynamics and active contours", Proc. IS&T/SPIE Electronic Imaging, San Jose, USA, January, 2010.
Depeursinge, A., D. Racoceanu, J. Iavindrasana, G. Cohen, A. Platon, PA. Poletti, and H. Muller, "Fusing visual and clinical information for lung tissue classification in HRCT data", Artificial Intelligence in Medicine, Elsevier, vol. 50, issue 1, pp. 13-21, 09/2010.