Decorrelation - Wikipedia
网页Decorrelation is a general term for any process that is used to reduce autocorrelation within a signal, or cross-correlation within a set of signals, while preserving other aspects of the signal. [1] . A frequently used method of decorrelation is the use of a matched linear filter to reduce the autocorrelation of a signal as far as possible.
Mechanisms of pattern decorrelation by recurrent neuronal …
网页2010年6月27日 · Decorrelation is a fundamental computation that optimizes the format of neuronal activity patterns. Channel decorrelation by adaptive mechanisms results in efficient coding, whereas...
Decorrelation - an overview | ScienceDirect Topics
网页Engineering. Decorrelation stretching is a process used to enhance (stretch) color differences found in a color image and remove the interchannel correlation found in input pixels. Chapters and Articles. You might find these chapters and articles relevant to this topic. Image compression algorithms in wireless multimedia sensor networks: A survey.
Inhibition decorrelates visual feature representations in the inner ...
网页2017年2月8日 · The notion that an antagonistic centre–surround receptive field organization can decorrelate neural response properties is a fundamental principle in neuroscience (for example, see refs 44, 45).
网页In order to decorrelate the data, we need to transform it so that the transformed data will have a diagonal covariance matrix. This transform can be found by solving the eigenvalue problem. We nd the eigenvectors and associated eigenvalues of by solving. = is a diagonal matrix having the eigenvalues as its diagonal elements.
How does whitening or decorrelation help machine learning models?
网页2017年8月11日 · So, when your data is considerably large, you might want to decorrelate the dataset before fitting an ML model, so that the size can be trimmed which would result in the model training and performing faster due to less number of columns.
Whitening/Decorrelation - why does it work? - Cross Validated
网页2018年2月3日 · One thing I was confused about initially with whitening for ICA was, "why do we want to decorrelate our signals? the correlation between different signal is what is helping us find the sources."
Decorrelation + Deep learning = Generalization - Medium
网页2023年11月30日 · Why do we need decorrelation? 1.1. Covariance & Correlation. The paper under review, Reducing Overfitting in Deep Networks by Decorrelating Representations from 2015, introduces a method termed...
decorrelate - Wiktionary, the free dictionary
网页2024年8月19日 · decorrelate (third-person singular simple present decorrelates, present participle decorrelating, simple past and past participle decorrelated) To reduce the correlation between signals. Related terms. [edit] decorrelation. Anagrams. [edit] decelerator. Categories: English terms prefixed with de- English 4-syllable words.
A NEW VLA– HIPPARCOS DISTANCE TO BETELGEUSE AND ITS …
网页2008年3月10日 · The NDAC and FAST abscissa residuals for a given great circle are correlated and the correlation coefficient is also provided in the IAD. The IAD provides all the information needed to decorrelate and properly weight the pair of great circle solutions (van Leeuwen & Evans 1998).
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