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	Browse All Reviews > Computing Methodologies (I) > Image Processing And Computer Vision (I.4) > Enhancement (I.4.3)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-10 of 43 Reviews about "Enhancement (I.4.3)": Date Reviewed   Neural graph collaborative filtering Wang X., He X., Wang M., Feng F., Chua T.  SIGIR 2019 (Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France, Jul 21-25, 2019) 165-174, 2019.  Type: Proceedings Typically, collaborative filtering (CF) is simply a nearest neighbor (NN) algorithm used either in its original form or in machine learning (ML), especially in supervised learning, to predict user preferences in recommender systems. He... Oct 14 2020    Introducing surprise and opposition by design in recommender systems Bauer C., Schedl M.  UMAP 2017 (Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, Bratislava, Slovakia, Jul 9-12, 2017) 350-353, 2017.  Type: Proceedings Christine Bauer and Markus Schedl, researchers at the Department of Computational Perception, Johannes Kepler University Linz, propose an approach to expanding the utility of recommender systems by developing capabilities to incorporat... Jul 26 2018   Real-time fingerprint image enhancement with a two-stage algorithm and block-local normalization Kočevar M., Kotnik B., Chowdhury A., Kačič Z. Journal of Real-Time Image Processing 13(4): 773-782, 2017.  Type: Article Personal identification through the use of fingerprints is probably the most used biometric modality, and its accuracy is crucial in applications critical to society and business. Improved methods for preprocessing, feature extraction,... Mar 28 2018   Bayesian filtering and smoothing Särkkä S., Cambridge University Press, New York, NY, 2013. 254 pp.  Type: Book (978-1-107619-28-9), Reviews: (2 of 2) Readers interested in the estimation of actual system states on the basis of measurements will be interested in this book, especially if they are looking for an easy method to refresh the related material they know from journal papers ... Sep 5 2014   Registration methods for pulmonary image analysis: integration of morphological and physiological knowledge Schmidt-Richberg A., Springer Vieweg, Wiesbaden, Germany, 2014. 192 pp.  Type: Book (978-3-658016-61-6) Irradiating a moving tumor has been one of the ultimate goals of radiation oncology. Older forms of radiation oncology could not account for the motion associated with an organ containing a tumor. Radiation beams were targeted at a tum... Jul 14 2014   Groupwise registration via graph shrinkage on the image manifold Ying S., Wu G., Wang Q., Shen D.  CVPR 2013 (Proceedings of the 26th IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, Jun 23-28, 2013) 2323-2330, 2013.  Type: Proceedings Groupwise registration makes sense when more than two images have to be aligned. In order to remove bias, none of the original images are chosen as the single target image. Instead, a group mean image is used. However, an arithmetic me... Apr 15 2014   Bayesian filtering and smoothing Särkkä S., Cambridge University Press, New York, NY, 2013. 254 pp.  Type: Book (978-1-107619-28-9), Reviews: (1 of 2) Bayesian methods are named for the great mathematician, Thomas Bayes. They have found application in almost all fields of applied statistics and signal processing. Among the various filtering methods available, Bayesian filtering and s... Mar 3 2014    High-performance deformable image registration algorithms for manycore processors Shackleford J., Kandasamy N., Sharp G., Morgan Kaufmann Publishers Inc., Waltham, MA, 2013. 122 pp.  Type: Book (978-0-124077-41-6) This is more of a booklet than a book, but it is nonetheless a kind of gem for understanding the process of mastering deformable image registration with graphics processing units (GPUs). The 100-plus pages are divided into six chapters... Jan 10 2014   Image registration using BP-SIFT Zhu Y., Cheng S., Stanković V., Stanković L. Journal of Visual Communication and Image Representation 24(4): 448-457, 2013.  Type: Article Image registration is the process of coordinating images of the same scene taken from different views, at different times, in different locations, or using different sensors. This process greatly helps with image fusion in remote sensi... Oct 1 2013   Spectral registration of noisy sonar data for underwater 3D mapping Bülow H., Birk A. Autonomous Robots 30(3): 307-331, 2011.  Type: Article In mapping, it is important to register two maps, that is, to find a shift and a 3D rotation after which the parts of the maps that describe the overlapping region match. In contrast to satellite and biomedical imaging, sonar and other... Aug 4 2011       Display 510152550100 per page
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