Journal ArticleDOI
Pattern Recognition and Machine Learning
Reads0
Chats0
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
More filters
Book ChapterDOI
Automatic Localization and Identification of Vertebrae in Arbitrary Field-of-View CT Scans
TL;DR: A new method for automatic localization and identification of vertebrae in arbitrary field-of-view CT scans based on regression forests and probabilistic graphical models, which is more general than previous work while being computationally efficient.
Journal ArticleDOI
Clinical Quantitative Susceptibility Mapping (QSM): Biometal Imaging and Its Emerging Roles in Patient Care
Yi Wang,Yi Wang,Pascal Spincemaille,Zhe Liu,Zhe Liu,Alexey Dimov,Alexey Dimov,Kofi Deh,Jianqi Li,Yan Zhang,Yihao Yao,Yihao Yao,Kelly M. Gillen,Alan H. Wilman,Ajay Gupta,Apostolos John Tsiouris,Ilhami Kovanlikaya,Gloria C. Chiang,Jonathan W. Weinsaft,Lawrence Tanenbaum,Weiwei Chen,Wenzhen Zhu,Shixin Chang,Min Lou,Brian H. Kopell,Michael G. Kaplitt,David Devos,Toshinori Hirai,Xuemei Huang,Yukunori Korogi,Alexander Shtilbans,Alexander Shtilbans,Geon Ho Jahng,Daniel Pelletier,Susan A. Gauthier,David Pitt,Ashley I. Bush,Gary M. Brittenham,Martin R. Prince +38 more
TL;DR: This review aims to organize pertinent information for implementing a robust automated QSM technique in routine MRI practice and to summarize available knowledge on diseases for which QSM can be used to improve patient care.
Journal ArticleDOI
Smartphone-based construction workers' activity recognition and classification
Reza Akhavian,Amir H. Behzadan +1 more
TL;DR: Smartphones are used in an unobtrusive way to capture body movements by collecting data using embedded accelerometer and gyroscope sensors and results indicate that neural networks outperform other classifiers by offering an accuracy ranging from 87% to 97% for user-dependent and 62% to 96% foruser-independent categories.
Journal ArticleDOI
Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization
TL;DR: A fast local anchor embedding method, which reformulates the optimization of local weights and obtains an analytical solution, and a new adjacency matrix among anchors by considering the commonly linked datapoints, which leads to a more effective normalized graph Laplacian over anchors.
Journal ArticleDOI
Multidimensional Projection for Visual Analytics: Linking Techniques with Distortions, Tasks, and Layout Enrichment
TL;DR: This survey provides detailed analysis and taxonomies as to the organization of MDP techniques according to their main properties and traits, discussing the impact of such properties for visual perception and other human factors and providing future research axes to fill discovered gaps in this domain.