Home  |  UNR  |  UCLA  |  MOI    First Name: Fabien Last Name: Scalzo Main Publications Resume Links Publications Jounal Papers X. Hu, P. Xu, F. Scalzo, C. Miller, P. Vespa, M. Bergsneider. Morphological Clustering and Analysis of Continuous Intracranial Pressure. Submitted to IEEE Transactions on Biomedical Engineering, 2008 Conference Papers F. Scalzo, G. Bebis, M. Nicolescu, L. Loss. Feature Fusion Hierarchies for Gender Classification. ICPR 2008 (Tampa, Florida). F. Scalzo, P. Xu, M. Bergsneider, X. Hu. Morphological Feature Extraction of Intracranial Pressure Signals via Nonlinear Regression. Benelearn 2008 (Spa, Belgium). F. Scalzo, G. Bebis, M. Nicolescu, L. Loss. Evolutionay Learning of Feature Fusion Hierarchies. Benelearn 2008 (Spa, Belgium). J. Piater, F. Scalzo, and R. Detry. Hierarchical Markov Network for Object Recognition. Benelearn 2008 (Spa, Belgium). F. Scalzo, P. Xu, M. Bergsneider, X. Hu. Nonlinear Regression For Sub-Peak Detection of Intracranial Pressure Signals. IEEE Int. Conf. Engineering and Biology Society, 2008 (EMBC, Vancouver, Canada). P. Xu, F. Scalzo, M. Bergsneider, X. Hu. Wavelet Entropy Characterization of Elevated Intracranial Pressure. IEEE Int. Conf. Engineering and Biology Society, 2008 (EMBC, Vancouver, Canada). J. Piater, F. Scalzo, and R. Detry. Vision as Inference in a Hierarchical Markov Network. ICCNS, 2008 (Boston, USA). F. Scalzo, J. Piater, Adaptive patch features for object class recognition with learned hierarchical models. 2nd Beyond Patches Workshop, 2007 (CVPR, Minneapolis, MN, USA). F. Scalzo, J. Piater, Unsupervised Learning of Dense Hierarchical Appearance Representations. Proc. of the International Conference on Pattern Recognition (ICPR), 2006 (Hong-Kong, China). F. Scalzo, J. Piater, Combining Generative and Discriminative Learning of Feature Hierarchies for Object Recognition. Research Contact Day of the CIL doctoral school, 2006 (Brussels, Belgium). F. Scalzo, J. Piater. Statistical learning of visual feature hierarchies. Proc. of the IEEE Workshop on Learning in Computer Vision and Pattern Recognition, 2005 (CVPR 2005). S. Jodogne, F. Scalzo, J. Piater. Task-Driven Learning of Spatial Combinations of Visual Features. Proc. of the IEEE Workshop on Learning in Computer Vision and Pattern Recognition, 2005 (CVPR 2005). F. Scalzo, J. Piater. Unsupervised Learning of Visual Feature Hierarchies. Proc. of the International Conference on Machine Learning and Data Mining (MLDM), 2005. F. Scalzo. Apprentissage Non-Supervisé de Caractéristiques Visuelles. ORASIS 2005 (Fournol, France). Thesis F. Scalzo. Learning Visual Feature Hierarchies. PhD Thesis. University of Liege, Belgium. 2007-2008.