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Questions tagged [noise]

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13 views

What is white test?

I've been searching for a white test on the internet. I think I've understood the basic concept. But couldn't implement it programmatically. Can someone explain the White test programmatically in ...
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1answer
50 views

Choosing attributes for k-means clustering

The k-means clustering tries to minimize the within-cluster scatter and maximizing the distances between clusters. It does so on all attributes. I am learning about this method on several datasets. To ...
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2answers
34 views

Which algorithm to use to identify clusters with a similar value?

Here, an example of my problem: 10000 observations of people with several features [age, gender, region, number of sons, ...] and a value to predict "income". There is not a general relationship ...
2
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1answer
40 views

Methods for learning with noisy labels

I am looking for a specific deep learning method that can train a neural network model with both clean and noisy labels. More precisely, I would like this method to be able to leverage noisy data as ...
2
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1answer
33 views

Remove noise by clustering on which step of pre-processing is better?

I am working on a classification task. The dataset is a UCI data set about machine learning with 200 observations and 2 classes. Part of my model includes the following preprocessing steps: remove ...
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0answers
14 views

Classification Algorithms For Noisy Problems

Dear fellow data scientists I work in finance and have decent experience with neuronal networks. Right now I am facing a challenge where I need to classify a set of signals. The data set looks ...
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2answers
93 views

If my model is overfitting the training dataset, does adding noise to training dataset help regularizing the machine learning model

I would like to know if this is a best practice or not. Can we add noise to the training data to help the model "fit less the training data"; as a result, hoping to generalize better on new unseen ...
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0answers
5 views

Remove noise from a k dimensional dataset made up of connected components situated far away from each other

I want to remove "meaningless" points from a k-dimensional datset which's structure follows some predefined rules. In order to make the problem easier to visualize, I'll use a 2-d datset. Dataset ...
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0answers
55 views

How to measure performance of a denoising autoencoder?

Is there a way to theoretically estimate (avoiding brute force) what is the minimum signal-to-noise ratio required for a denoising autoencoder (like a regular filter)? What I want to know specifically ...
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0answers
41 views

How to remove noise using morphological filtering

I have two groups of dots that both contain noise between them: The line that separates the two groups in the picture is diagonal in shape. I tried to use morphological filtering on this image to ...
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0answers
63 views

How can I reduce the noise of prediction graph?

I am trying to use LSTM to predict a time series data as you can see in the following image, the predicted graphs is very noisy: The original data is looking like this: That I normalized it like ...
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1answer
107 views

Noise Elimination with majority vote filtering

I have a dataset with label noise which I wan't to clean with majority/consensus vote filtering. This will mean I will divide the data in K-Folds and train an ensemble model. Than using the ...
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0answers
18 views

Isolated/noisy instances that have outsized effect on SVM hyperplane selection

Consider two linearly separable classes and the optimal separating hyperplane (image credit Prof Jiawei Han of UIUC): Now consider if there were a single "rogue" point for the Yellow class - which ...
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1answer
788 views

what is correct way to perform normalization on data in Auto encoder?

working on anomaly detection problem. i'm using auto-encoder to denoise given input. I trained network with normal data(anomaly free). so model predict normal state of given input. Normalization of ...
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0answers
162 views

Training deep CNN with noisy dataset

I am training a Mask RCNN model with a train dataset that has been generated from some simple computer vision operations (color thresholding) and some morphological filtering. The train set captures ...
3
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1answer
1k views

Effect of adding gaussian noise to the input layer in a CNN

I often come across Keras code that adds GaussianNoise to the input, however its not clear to me what advantages does it offer to the learning. ...
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1answer
429 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
30 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
83 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
171 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, ...
4
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1answer
955 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. ...
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1answer
46 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 ...
3
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2answers
84 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 ...
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1answer
27 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
68 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 ...
6
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2answers
4k 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}^...