Questions tagged [noise]
The noise tag has no usage guidance.
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3 views
A noise robust Local binary patterns variant
I’m thinking of using Local Binary Patterns (LBP) to extract features from MRI images of brain tumours to build a module for classification, due to its computational simplicity and good performance, ...
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0answers
12 views
How to create a complex Gaussian random noise with a specific covariance matrix
I am trying to generate a complex Gaussian white noise, with zero mean and the covariance matrix of them is going to be a specific matrix which is assumed to be given.
Assume i to be a point on the ...
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1answer
25 views
How can I avoid requiring global information for performing regression on meter variables?
Note: With a meter variable a timestamped value is the sum of all previous differences plus a difference to the most recent value. Think of a electricity meter counting the use of energy.
The goal ...
2
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1answer
43 views
Paramaeter estimation in noisy conditions with Machine Learning, possible?
Let's take two constants, $\alpha$ and $\beta$, both are given by two functions $f_1(\vec{\theta})$ and $f_2(\vec\theta$) (the model). These functions are known: we have an analytical closed ...
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0answers
24 views
Rain radar image noise reduction and cleanup
An application that I am building is plotting rain radar images on map. The images are transparent PNGs that are sourced straight from the local meteorological service.
As can be seen in the example, ...
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0answers
20 views
support vector machine under noisy labels
I am relatively new to machine learning and had just read the SVM chapter in the introduction to statistical learning book.
I am interested in applying SVM to my data. In theory, my data is perfectly ...
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0answers
87 views
Training on accurate data versus noisy data
I have data currently available that is very accurate and I would like to train my classification methods on this set of clean data to learn the important markers for distinguishing between classes. ...
0
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1answer
18 views
Reducing noisy data from non normal distribution of data with std deviation?
I have used MATLAB code and get the two different row vectors A=1×18 and B=1×350. From both row vectors separately I need to remove the noisy data by using standard deviation. But the problem is that ...
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0answers
47 views
Noise Resulting from Inverse-Scaling for a Machine Learning Problem
I have created a neural network and am predicting reasonable values for most of my data (the task is multi-variate time series forecasting).
I scale my data before inputting it using scikit-learn's ...
3
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2answers
58 views
What is the loss function defined by Mnih and Hinton in their paper “Learning to Label Aerial Images from Noisy Data”?
In section 3.3 of the paper, they state that they use the cross entropy.
Then they define the probability for a label to be a false positive as $\theta_0$ and a false negative as $\theta_1$.
They use ...
1
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1answer
18 views
When we should use binning to redure noise? or How we find out we have noise?
I read several times which binning is helpful for reducing the noise of data. But how can we find out our data has noise? What if our data is clean and we reduce the accuracy of data?
Is there any ...
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0answers
37 views
Rprop is too noisy
Is there a way to reduce the noisiness and stochasticity of Rprop (and for that matter the iRprop+)?
Specifically, in deep networks (with 8+ layers) this effect starts to become apparent, as the ...
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2answers
2k views
Can Neural Networks be trained to smooth values / output the average?
Let's say we have a neural network with one input neuron and one output neuron. The training data $(x, f(x))$ is generated by a process
$$f(x) = ax + \mathcal{N}(b, c)$$
with $a, b, c \in \mathbb{R}^...
