By Richard Chbeir, Yannis Manolopoulos, Ilias Maglogiannis, Reda Alhajj
This ebook constitutes the refereed complaints of the eleventh IFIP WG 12.5 overseas convention on man made Intelligence functions and suggestions, AIAI 2015, held in Bayonne, France, in September 2015. The 35 revised complete papers offered have been conscientiously reviewed and chosen from eighty one submissions. The papers characteristic hugely novel examine describing cutting edge algorithms, platforms, instruments and methods, in addition to providing complex prototypes within the region of man-made intelligence.
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Extra info for Artificial Intelligence Applications and Innovations: 11th IFIP WG 12.5 International Conference, AIAI 2015, Bayonne, France, September 14–17, 2015, Proceedings
IFIP International Federation for Information Processing 2015 R. Chbeir et al. ): AIAI 2015, IFIP AICT 458, pp. 29–44, 2015. 1007/978-3-319-23868-5_3 30 2 K. Kottari and K. Delibasis Related Work Recovering 3D structure from multiple binary (2D) shapes (silhouette to shape – S2S, commonly referred as shape from silhouette) by projective cameras is a well-known technique , . The limited field of view (FoV) of the projective cameras requires the object to be imaged in a specific location, rather than anywhere in the FoV.
Combining color and spatial color distribution information in a fuzzy rule based compact composite descriptor. , Sharp, B. ) ICAART 2010. CCIS, vol. 129, pp. 49–60. Springer, Heidelberg (2011) 17. : The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 454(1971), 903–995 (1998) 18. : Edge detection via window empirical mode decomposition. In: 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), pp.
Com 31. : Color and texture descriptors. com 2 Cardiothoracic Unit, Surgical Cluster, Faculty of Medicine, UiTM, Malaysia Abstract. In order to utilize both computed tomography (CT) and echocardiography images of the heart for medical applications such as diagnosis and image guided intervention concurrently, non-rigid registration is an essential task. A challenging but important problem in image registration is evaluating the performance of a registration algorithm. The direct quantitative approach is to compare the deformation field solution with the ground truth transformation (at all or some landmark pixels).
Artificial Intelligence Applications and Innovations: 11th IFIP WG 12.5 International Conference, AIAI 2015, Bayonne, France, September 14–17, 2015, Proceedings by Richard Chbeir, Yannis Manolopoulos, Ilias Maglogiannis, Reda Alhajj