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
More filters
Journal ArticleDOI
Dynamic Compressive Sensing of Time-Varying Signals Via Approximate Message Passing
Justin Ziniel,Philip Schniter +1 more
TL;DR: A probabilistic dynamic CS signal model that captures both amplitude and support correlation structure, and an approximate message passing algorithm that performs soft signal estimation and support detection with a computational complexity that is linear in all problem dimensions are proposed.
Journal ArticleDOI
GLISTR: Glioma Image Segmentation and Registration
Ali Gooya,Kilian M. Pohl,Michel Bilello,Luigi Cirillo,George Biros,Elias R. Melhem,Christos Davatzikos +6 more
TL;DR: A generative approach for simultaneously registering a probabilistic atlas of a healthy population to brain magnetic resonance (MR) scans showing glioma and segmenting the scans into tumor as well as healthy tissue labels is presented.
Book
Machine Learning Control – Taming Nonlinear Dynamics and Turbulence
TL;DR: This chapter is not meant to be an exhaustive primer on linear control theory, although key concepts from optimal control are introduced as needed to build intuition and demonstrate known optimal solutions to linear control problems.
Proceedings Article
Self-labelling via simultaneous clustering and representation learning
TL;DR: In this paper, the authors proposed to maximize the information between labels and input data indices to solve the cross-entropy minimization problem for unsupervised learning of deep neural networks.
Journal ArticleDOI
Parallel driving in CPSS: a unified approach for transport automation and vehicle intelligence
TL;DR: The proposed parallel driving offers an ample solution for achieving a smooth, safe and efficient cooperation among connected automated vehicles with different levels of automation in future road transportation systems.