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	Browse All Reviews > Computing Methodologies (I) > Artificial Intelligence (I.2) > Learning (I.2.6)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-10 of 863 Reviews about "Learning (I.2.6)": Date Reviewed   A machine-learning approach to keypoint detection and landmarking on 3D meshes Creusot C., Pears N., Austin J.  International Journal of Computer Vision 102(1-3): 146-179, 2013. Type: Article, Reviews: (2 of 2) Searching for point correspondences across pairs of images is a necessary preprocessing step for many applications involving 3D object retrieval and shape recognition, including stereo imaging, object tracking, depth imaging, and 3D meshes. This... May 1 2013   A machine-learning approach to keypoint detection and landmarking on 3D meshes Creusot C., Pears N., Austin J.  International Journal of Computer Vision 102(1-3): 146-179, 2013. Type: Article, Reviews: (1 of 2) Local descriptors have been widely used in the 3D field for matching. In this paper, the descriptor is combined with a machine learning approach to achieve keypoint detection on a 3D mesh.... Apr 30 2013   Machine learning for computer vision Cipolla R., Battiato S., Farinella G.,  Springer Publishing Company, Incorporated, Heidelberg, Germany, 2013. 272 pp. Type: Book (978-3-642286-60-5) Machine learning is a current topic of great interest to those working on pattern recognition and, more generally, to the computer science community. Over the past five to 10 years, machine learning techniques have matured and now permeate many... Apr 22 2013   New concepts and applications in soft computing Balas V., Fodor J., Várkonyi-Kóczy A.,  Springer Publishing Company, Incorporated, Berlin, Germany, 2013. 232 pp. Type: Book (978-3-642289-58-3) Soft computing is the study of neural networks, fuzzy logic, and probabilistic reasoning, which Lotfi Zadeh defined as evolutionary computation, chaos theory, and belief networks. Since the awareness of the commonality of these topics of work in... Apr 9 2013    Computer vision: models, learning, and inference Prince S.,  Cambridge University Press, New York, NY, 2012. 600 pp. Type: Book (978-1-107011-79-3) Computer vision has become increasingly important and effective in the last few years, with applications in areas as diverse as film and other media, mapping, surveillance, and even self-driving vehicles. In part, the rise in effectiveness comes... Mar 21 2013   Segmentation-based multi-class semantic object detection Vieux R., Benois-Pineau J., Domenger J., Braquelaire A.  Multimedia Tools and Applications 60(2): 305-326, 2012. Type: Article Segmentation, in the most general sense, is the core problem of perception, and the key to delineating the objects relevant to any consciousness. Not surprisingly, it is therefore an extremely difficult problem, and work continues on many... Mar 18 2013    Detecting fake medical web sites using recursive trust labeling Abbasi A., Zahedi F., Kaza S.  ACM Transactions on Information Systems 30(4): 1-36, 2012. Type: Article The authors of this paper attract the attention of the readers in a specific way, by claiming that “much of the health-related information and advice available online is inaccurate and/or misleading.” The paper states: “Scores... Mar 6 2013   Maximizing benefits from crowdsourced data Barbier G., Zafarani R., Gao H., Fung G., Liu H.  Computational & Mathematical Organization Theory 18(3): 257-279, 2012. Type: Article Crowdsourcing involves the production of crowd-generated data. These might be data collected during crises, such as a large set of location-based tweets during a firestorm or severe flooding, or numerous SMS reports to a common system within a... Feb 28 2013   Affinity learning with diffusion on tensor product graph Yang X., Prasad L., Latecki L.  IEEE Transactions on Pattern Analysis and Machine Intelligence 35(1): 28-38, 2013. Type: Article Automated pattern recognition is a difficult problem. One of the difficult issues is how to measure the similarity of a pair of patterns. A simple Euclidean distance type measure is often insufficient, and a more complex non-Euclidean space needs ... Feb 25 2013   Extended information inference model for unsupervised categorization of web short texts Xu T., Peng Q.  Journal of Information Science 38(6): 512-531, 2012. Type: Article This report on the application of cognitive models to natural language processing for text categorization is a straightforward overview of methods for making sense of short texts on the web.... Feb 25 2013       Display 510152550100 per page
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