Results 111 to 120 of about 35,609 (308)
Colourings of Uniform Group Divisible Designs and Maximum Packings
Journal of Combinatorial Designs, EarlyView.ABSTRACT A weak c $c$‐colouring of a design is an assignment of colours to its points from a set of c $c$ available colours, such that there are no monochromatic blocks. A colouring of a design is block‐equitable, if for each block, the number of points coloured with any available pair of colours differ by at most one.
Andrea C. Burgess +6 more
wiley +1 more source
Stochastic Subspace Method for Experimental Modal Analysis
MATEC Web of Conferences, 2016 The formula of stochastic subspace identification method is deduced in details and the program is written out. The two methods are verified by a vibration test on a 5-floor rigid frame model.
Liu Dazhi +5 more
doaj +1 more source
Local Feature Discriminant Projection
, 2016 In this paper, we propose a novel subspace learning algorithm called Local Feature Discriminant Projection (LFDP) for supervised dimensionality reduction of local features.
Zhen, Xiantong +3 more
core +1 more source
JCPP Advances, EarlyView.Abstract Background Attention‐deficit/hyperactivity disorder (ADHD) is a neurodevelopmental condition with significant cognitive and social impacts. Identifying reliable biomarkers for ADHD is crucial for developing personalised therapies. Electroencephalography (EEG) alpha oscillations (8–12 Hz) have been suggested as a potential biomarker, but ...
Julio Rodriguez‐Larios +2 more
wiley +1 more source
Reduced-Rank Adaptive Filtering Using Krylov Subspace
EURASIP Journal on Advances in Signal Processing, 2002 A unified view of several recently introduced reduced-rank adaptive filters is presented. As all considered methods use Krylov subspace for rank reduction, the approach taken in this work is inspired from Krylov subspace methods for iterative solutions ...
Burykh Sergueï, Abed-Meraim Karim
doaj +1 more source
Modelling Core Inflation for the UK Using a New Dynamic Factor Estimation Method and a Large Disaggregated Price Index Dataset [PDF]
Recent work in the macroeconometric literature considers the problem of summarising efficiently a large set of variables and using this summary for a variety of purposes including forecasting.
George Kapetanios
core
STHANet: Spatiotemporal Hybrid Attention Network for auditory attention decoding
Journal of Intelligent Medicine, EarlyView.STHANet integrates depth‐wise spatial filtering, log–variance temporal characterization, and transformer‐based spatiotemporal fusion to model global EEG interactions for direct AAD. Abstract Auditory attention decoding (AAD) aims to detect the target speaker from electroencephalography (EEG) signals in multi‐talker environments.
Xu Han, Hongxing Liu, Guangjian Ni
wiley +1 more source
Robust subspace methods for outlier detection in genomic data circumvents the curse of dimensionality. [PDF]
R Soc Open Sci, 2020 Shetta O, Niranjan M.
europepmc +1 more source
Compact models for wireless systems [PDF]
, 2010 For the design and analysis of wireless systems, complex simulations are required and performed. Model order reduction techniques enable greater efficiencies to be achieved and concomitantly, a reduction in memory-resource usage. However, maintaining a
Condon, Marissa, Grahovski, Georgi G.
core
Subspace Clustering by Capped l(1) Norm
, 2016 Subspace clustering, as an important clustering problem, has drawn much attention in recent years. State-of-the-art methods generally try to design an efficient model to regularize the coefficient matrix while ignore the influence of the noise model on
Tao, Dacheng +8 more
core +1 more source