Journal ArticleDOI
Pattern Recognition and Machine Learning
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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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Proceedings ArticleDOI
Spotting opinion spammers using behavioral footprints
Arjun Mukherjee,Abhinav Kumar,Bing Liu,Junhui Wang,Meichun Hsu,Malu Castellanos,Riddhiman Ghosh +6 more
TL;DR: An unsupervised model, called Author Spamicity Model (ASM), is proposed, which works in the Bayesian setting, which facilitates modeling spamicity of authors as latent and allows us to exploit various observed behavioral footprints of reviewers.
The Factor Graph Approach to Model-Based Signal Processing Factor graphs can model complex systems and help to design effective algorithms for detection and estimation problems.
TL;DR: In this paper, the message-passing approach to model-based signal processing is developed with a focus on Gaussian message passing in linear state-space models, which includes recursive least squares, linear minimum-mean-squared-error estimation, and Kalman filtering algorithms.
Journal ArticleDOI
A review of automatic mass detection and segmentation in mammographic images.
Arnau Oliver,Jordi Freixenet,Joan Martí,Elsa Pérez,Josep Pont,Erika R. E. Denton,Reyer Zwiggelaar +6 more
TL;DR: The aim of this paper is to review existing approaches to the automatic detection and segmentation of masses in mammographic images, highlighting the key-points and main differences between the used strategies.
Journal ArticleDOI
Beyond 5G With UAVs: Foundations of a 3D Wireless Cellular Network
TL;DR: In this article, a novel concept of three-dimensional (3D) cellular networks, that integrate drone base stations (drone-BSs) and cellular-connected drone users (Drone-UEs), is introduced.
Journal ArticleDOI
Learning to select and generalize striking movements in robot table tennis
TL;DR: In this paper, a robot learns a set of elementary table tennis hitting movements from a human table tennis teacher by kinesthetic teach-in, which is compiled into a mixture of motor primitives represented by dynamical systems.