Journal ArticleDOI
Pattern Recognition and Machine Learning
TLDR
This book covers a broad range of topics for regular factorial designs and presents all of the material in very mathematical fashion and will surely become an invaluable resource for researchers and graduate students doing research in the design of factorial experiments.Abstract:
(2007). Pattern Recognition and Machine Learning. Technometrics: Vol. 49, No. 3, pp. 366-366.read more
Citations
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Journal ArticleDOI
Authorship Attribution for Social Media Forensics
Anderson Rocha,Walter J. Scheirer,Christopher W. Forstall,Thiago Cavalcante,Antonio Theophilo,Bingyu Shen,Ariadne R. B. Carvalho,Efstathios Stamatatos +7 more
TL;DR: It is argued that there is a significant need in forensics for new authorship attribution algorithms that can exploit context, can process multi-modal data, and are tolerant to incomplete knowledge of the space of all possible authors at training time.
Journal ArticleDOI
Pattern classification and clustering: A review of partially supervised learning approaches
TL;DR: The paper categorizes and reviews the state-of-the-art approaches to the partially supervised learning (PSL) task, pointing out the main issues which are still open, motivating the on-going investigations in PSL research.
Book ChapterDOI
Multiple hypothesis video segmentation from superpixel flows
TL;DR: This work determines the solution of this segmentation problem as the MAP labeling of a higher-order random field, and develops a framework that allows MHVS to achieve spatial and temporal long-range label consistency while operating in an on-line manner.
Journal ArticleDOI
Trace optimization and eigenproblems in dimension reduction methods
TL;DR: All the eigenvalue problems solved in the context of explicit linear projections can be viewed as the projected analogues of the nonlinear or implicit projections, including kernels as a means of unifying linear and nonlinear methods.
Journal ArticleDOI
Knee X-Ray Image Analysis Method for Automated Detection of Osteoarthritis
Lior Shamir,Shari M. Ling,William W. Scott,Angelo Jose Goncalves Bos,Nikita Orlov,Tomasz Macura,David Mark Eckley,Luigi Ferrucci,Ilya G. Goldberg +8 more
TL;DR: Experimental results show that moderate OA and minimal OA can be differentiated from normal cases with accuracy of 91.5% and 80.4%, respectively.