Review of the BCI competition IV
The BCI competition IV stands in the tradition of prior BCI competitions that aim to provide
high quality neuroscientific data for open access to the scientific community. As experienced …
high quality neuroscientific data for open access to the scientific community. As experienced …
Kernel multivariate analysis framework for supervised subspace learning: A tutorial on linear and kernel multivariate methods
J Arenas-Garcia, KB Petersen… - IEEE Signal …, 2013 - ieeexplore.ieee.org
Feature extraction and dimensionality reduction are important tasks in many fields of science
dealing with signal processing and analysis. The relevance of these techniques is …
dealing with signal processing and analysis. The relevance of these techniques is …
Does financial development influence CO2 emissions? A Chinese province-level study
B Zhao, W Yang - Energy, 2020 - Elsevier
As the greatest CO 2 emitter, downgrading the CO 2 emissions in China is urgent. The main
purpose of this study is to explore the relation of financial development to CO 2 emissions at …
purpose of this study is to explore the relation of financial development to CO 2 emissions at …
[HTML][HTML] Variational cross-validation of slow dynamical modes in molecular kinetics
RT McGibbon, VS Pande - The Journal of chemical physics, 2015 - pubs.aip.org
Markov state models are a widely used method for approximating the eigenspectrum of the
molecular dynamics propagator, yielding insight into the long-timescale statistical kinetics …
molecular dynamics propagator, yielding insight into the long-timescale statistical kinetics …
Hyperspectral dimensionality reduction for biophysical variable statistical retrieval
Current and upcoming airborne and spaceborne imaging spectrometers lead to vast
hyperspectral data streams. This scenario calls for automated and optimized spectral …
hyperspectral data streams. This scenario calls for automated and optimized spectral …
[图书][B] Digital signal processing with Kernel methods
A realistic and comprehensive review of joint approaches to machine learning and signal
processing algorithms, with application to communications, multimedia, and biomedical …
processing algorithms, with application to communications, multimedia, and biomedical …
The asymmetric effects of institutional quality on financial inclusion in the Asia-pacific region
Financial inclusions are generally considered an effective mechanism to support
sustainable economic growth in emerging markets. While the symmetric effects of …
sustainable economic growth in emerging markets. While the symmetric effects of …
Interdisciplinary research to advance digital imagery and natural compounds for eco-cleaning and for preserving textile cultural heritage
The old fibers that make up heritage textiles displayed in museums are degraded by the
aging process, environmental conditions (microclimates, particulate matter, pollutants …
aging process, environmental conditions (microclimates, particulate matter, pollutants …
Two subgroups of antipsychotic-naive, first-episode schizophrenia patients identified with a Gaussian mixture model on cognition and electrophysiology
Deficits in information processing and cognition are among the most robust findings in
schizophrenia patients. Previous efforts to translate group-level deficits into clinically …
schizophrenia patients. Previous efforts to translate group-level deficits into clinically …
Feature variance regularization method for autoencoder-based one-class classification
One-class classification (OCC) has been being used in various research fields, since it is
able to design classifiers using the data from a single class. Among various methods for …
able to design classifiers using the data from a single class. Among various methods for …