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
A Posture Recognition-Based Fall Detection System for Monitoring an Elderly Person in a Smart Home Environment
TL;DR: A novel computer vision-based fall detection system for monitoring an elderly person in a home care application that can achieve a high fall detection rate and a very low false detection rate in a simulated home environment is proposed.
Proceedings ArticleDOI
Deep Cosine Metric Learning for Person Re-identification
Nicolai Wojke,Alex Bewley +1 more
TL;DR: In this paper, the final classification layer can be stripped from the network to facilitate nearest neighbor queries on unseen individuals using the cosine similarity metric, which is effectively optimized through a simple re-parametrization of the conventional softmax classification regime.
Journal ArticleDOI
Uncertainty in perception and the Hierarchical Gaussian Filter
Christoph Mathys,Ekaterina I. Lomakina,Ekaterina I. Lomakina,Jean Daunizeau,Sandra Iglesias,Kay H. Brodersen,Karl J. Friston,Klaas E. Stephan,Klaas E. Stephan +8 more
TL;DR: This paper explicitly formulate the extension of the HGF's hierarchy to any number of levels, and discusses how various forms of uncertainty are accommodated by the minimization of variational free energy as encoded in the update equations.
Journal ArticleDOI
Software defect prediction using ensemble learning on selected features
TL;DR: Tackling software data issues, including redundancy, correlation, feature irrelevance and missing samples, with the proposed combined learning model resulted in remarkable classification performance paving the way for successful quality control.
Journal ArticleDOI
Tensor decomposition of EEG signals: A brief review
Fengyu Cong,Fengyu Cong,Qiu-Hua Lin,Li-Dan Kuang,Xiao-Feng Gong,Piia Astikainen,Tapani Ristaniemi +6 more
TL;DR: This review summarizes the current progress of tensor decomposition of EEG signals with three aspects, and two fundamental tensor decompposition models, canonical polyadic decomposition (CPD) and Tucker decomposition, are introduced and compared.