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	Browse All Reviews > Computing Methodologies (I) > Pattern Recognition (I.5) > Design Methodology (I.5.2) > Feature Evaluation And Selection (I.5.2...)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-10 of 105 Reviews about "Feature Evaluation And Selection (I.5.2...)": Date Reviewed   Feature selection and enhanced krill herd algorithm for text document clustering Abualigah L.,  Springer International Publishing, New York, NY, 2019. 165 pp. Type: Book (978-3-030106-73-7) This monograph, which comes out of the author’s PhD thesis, studies text document clustering with the help of the krill herd (KH) algorithm.... May 10 2019    Environmental sound recognition using short-time feature aggregation Roma G., Herrera P., Nogueira W.  Journal of Intelligent Information Systems 51(3): 457-475, 2018. Type: Article Enabling the automatic human-level (or better) detection and classification of audio events and sound environments would be a clear plus for artificial intelligence (AI)-based applications such as robotics and social signal processing. Typical mac... Jan 31 2019   Prediction of HIV drug resistance by combining sequence and structural properties Khalid Z., Sezerman O.  IEEE/ACM Transactions on Computational Biology and Bioinformatics 15(3): 966-973, 2018. Type: Article Human immunodeficiency virus infection and acquired immune deficiency syndrome (HIV/AIDS) has been one of the deadliest diseases for the past three decades. Treatment is challenging even today.... Nov 7 2018   A filter attribute selection method based on local reliable information Martín R., Aler R., Galván I.  Applied Intelligence 48(1): 35-45, 2018. Type: Article In classification algorithms, the core problem is selecting the right attributes and assigning them the right weight for each item being processed, in order to achieve reliable results; all the more so if machine learning is involved. At present, ... Apr 25 2018   Anomaly detection as a service: challenges, advances, and opportunities Yao D., Shu X., Cheng L., Stolfo S.,  Morgan & Claypool Publishers, San Rafael, CA, 2017. 173 pp. Type: Book (978-1-681731-09-4) Written by a team of well-known academic researchers and authors of landmark papers in the area of system and network security, this book is a distilled and concise overview of academic and industrial approaches for anomaly detection in the contex... Apr 25 2018    Tied factors analysis for high-dimensional image feature extraction and recognition application Liao H., Chen Y., Dai W., Ruan R.  Pattern Analysis & Applications 20(2): 587-600, 2017. Type: Article Face recognition is one of those unstructured tasks that the human brain excels at, but that is difficult for computers to perform. But as it becomes crucial for many modern activities, it would be a great help for us humans if we could automate t... Jun 15 2017   Context-based unsupervised ensemble learning and feature ranking Soltanmohammadi E., Naraghi-Pour M., van der Schaar M.  Machine Learning 105(3): 459-485, 2016. Type: Article An unsupervised ensemble learning and feature ranking method in which the combiner has no information about the expert’s performance, methods, and the data with which they operate is proposed in this paper. The method uses batch processing a... Apr 20 2017   Variational Bayesian inference for infinite generalized inverted Dirichlet mixtures with feature selection and its application to clustering Bdiri T., Bouguila N., Ziou D.  Applied Intelligence 44(3): 507-525, 2016. Type: Article Model-based data analysis is a powerful, increasingly popular tool for inferring knowledge and abstract information from data sets. To date, the model-based learning literature has mostly been dominated by Gaussian mixtures. However, conventional ... Jun 20 2016   A comprehensive performance evaluation of 3D local feature descriptors Guo Y., Bennamoun M., Sohel F., Lu M., Wan J., Kwok N.  International Journal of Computer Vision 116(1): 66-89, 2016. Type: Article For those that are working with 3D point clouds (for example, 3D keypoint detection, 3D local feature descriptors, 3D object recognition/classification/retrieval, 3D scene modeling and reconstruction, and 3D data registration, among many other pos... Apr 27 2016   Offline scripting-free author identification based on speeded-up robust features Sharma M., Dhaka V.  International Journal on Document Analysis and Recognition 18(4): 303-316, 2015. Type: Article Text-independent writer identification (writer ID) has been studied for many years, and more and more techniques are now proposed to deal with various scripts and writing conditions. In general, there are two types of feature extraction: histogram... Feb 19 2016       Display 510152550100 per page
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