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
Signal Processing for Music Analysis
TL;DR: It is demonstrated that, to be successful, music audio signal processing techniques must be informed by a deep and thorough insight into the nature of music itself.
Journal ArticleDOI
Revealing Household Characteristics from Smart Meter Data
TL;DR: A system that uses supervised machine learning techniques to automatically estimate specific “characteristics” of a household from its electricity consumption, which paves the way for targeted energy efficiency programs and other services that benefit from improved customer insights is developed.
Journal ArticleDOI
Accurate multimodal probabilistic prediction of conversion to Alzheimer's disease in patients with mild cognitive impairment
Jonathan Young,Marc Modat,Manuel Jorge Cardoso,Alex F. Mendelson,Dave Cash,Sebastien Ourselin +5 more
TL;DR: Gaussian process (GP) classification is introduced and it is shown that GPs can integrate multimodal data (in this study volumetric MRI, FDG-PET, cerebrospinal fluid, and APOE genotype with the classification process through the use of a mixed kernel).
Journal ArticleDOI
Design, implementation and validation of a novel open framework for agile development of mobile health applications.
Oresti Banos,Oresti Banos,Claudia Villalonga,Rafael Garcia,Alejandro Saez,Miguel Damas,Juan A. Holgado-Terriza,Sungyong Lee,Héctor Pomares,Ignacio Rojas +9 more
TL;DR: mHealthDroid, an open source Android implementation of a mHealth Framework designed to facilitate the rapid and easy development of mHealth and biomedical apps, and implements several functionalities to support resource and communication abstraction.
Proceedings ArticleDOI
3D Pictorial Structures for Multiple Human Pose Estimation
Vasileios Belagiannis,Sikandar Amin,Mykhaylo Andriluka,Bernt Schiele,Nassir Navab,Slobodan Ilic +5 more
TL;DR: A novel 3D pictorial structures (3DPS) model is introduced that infers 3D human body configurations from the authors' reduced state space and is generic and applicable to both single and multiple human pose estimation.