Questions tagged [pattern-recognition]

Refers to techniques for classifying data into categories based on similarities (which can either be known previously, or learned).

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Limits in exploratory analysis [closed]

I have a question about exploratory analysis. I don't understanding the meaning of the problem, so I am not so sure. "Give an example of a simple connection, the pattern of which is not or hardly ...
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Deep learning technique for finding sub pattern

I have a list of strings each with thier target output value. The output in each case is a sub string of the input Eg ABCFHDF-> FHD HJLKSOK-> JLK GSJKOPS-> JKO My question is what area of sequence ...
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Identifying original elements in a permutation of a pattern

In the pattern above, the blue peaks are known and are labeled $p_1, p_2, ... p_N$. The red line is the same pattern of peaks, but altered slightly. Given a blue pattern and red pattern, I want to be ...
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How to use the likelihood-ratio to compute the error probability? [closed]

In Bayesian decision theory, There is an analytical form of error rate, which is $$P(e)=\int P(e|\bf{x})p(\bf{x})d\bf{x}$$. For binary classification, we can compute the type I error probability with: ...
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53 views

DTW find the warped sequences

I have these 2 sequences: s1 = [1, 2, 3, 5, 5, 5, 6] s2 = [1, 1, 2, 2, 3, 5] And have calculated the DTW matrix as: ...
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Is there a good measure of “paternless-ness” in a set of data?

This may be a slightly open-ended question, or even a bad one, but are there any measures of looking at a set of data and seeing whether there is any kind of pattern or not? For some context my ...
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11 views

Predict server issues with seperate alert data and incident data

I have the following data - Server alerts Server incidents Given the alert data, my aim is to predict what kind of ticket will be produced in the near future (say 1 week). I have gone through a ...
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64 views

Why is pattern recognition often defined as an ill-posed problem?

A Well-posed problem should have the following properties: a solution exists the solution is unique the solution's behavior changes continuously with the initial conditions. A problem which is not ...
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Algorithm for time-domain pattern matching

I have the following problem: I have a hypothesized pattern of a sensor that will most likely fall into four categories A, B, C, or D. Each sample reading contains the same amount of datapoints. My ...
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15 views

Algorithms or techniques for pattern recognition [closed]

I am looking for algorithms or techniques that could be used for pattern recognition/extraction in data. Preferably I would like to know if there are any algorithm implementations in Python that I ...
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How should I proceed to classify images of not ok microchips

So I have a new project where I have to classify different types of damages on microchips. I am new to machine learning and python in general so I am a little bit lost. I have over 100.000 images I ...
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Timeseries Pattern recognition

I have about 8000 timeseries from kepler. Every timeseries is from another star. Every timeseries are classified into two classes (there is planet orbitting around star, there is no planet). X axis ...
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Computing the error function defined over a transformed dataset

I am currently reading chapter 5 from Christopher Bishop's Pattern Recognition and Machine Learning book. Having an infinte dataset $\{({\bf x}, t)\}$, and an estimated value $y({\bf x})$, I am ...
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28 views

Ways to extract patterns yielding high scores

Suppose I have a table, containing several features and a score denoting the performance (higher is better) of the corresponding features. Like this: ...
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Which distance metric to use to cluster categorical sequences (clickstreams or clickpaths)?

For my research, I want to cluster website visitors based on their clickstreams to understand different information behavior patterns (i.e., customer/visitor journeys). The data can be characterized ...
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31 views

Practical Examples: Expectation of a function with respect to a probability

I have encountered the following phrasing while reading Bishop's "Pattern Recognition and Machine Learning": Although for some applications the posterior distribution over unobserved variables will ...
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Sampling Methods : Pattern Recognition and Machine Learning Bishop

I am reading chapter 11 . Sampling Methods from the book : Pattern Recognition and Machine Learning by Bishop : In the introduction , in short,he evaluates expectation of some function $f(z)$ with ...
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data pattern matching with machine learning

Question: How can I automate pattern correlation in data sets. Context: In oil and gas, picking geological formation tops is a common process. This is performed by matching patterns in the data ...
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Why does differentiating the normalization term of a Binomial Distribution yield the expected value? [closed]

In Bishop's book Pattern Recognition and Machine Learning, problem 2.4 aims to derive the expected value of the binomial distribution $m \sim Bin(N, \mu) = {N \choose m} \mu^m (1 - \mu)^{N-m}$ by ...
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Clustering items based on response behavior on three tasks

I have a question and was hoping someone could point me in an appropriate direction. I conducted a large experiment and would now like to find patterns in the response behavior of the subjects. The ...
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31 views

Representative Pattern Extraction from Time Series using LSTM

I am interested in extracting a representative pattern from time series having variable time periods. I have attached an image for reference. I would like to know if a LSTM would be the appropriate ...
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1answer
142 views

Detecting patterns in time-series data using R

I have a dataset of 258k observations with date time data for each observation in the format of %Y-%m-%d %H:%M:%S. Each observation is a social media post made by a ...
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1answer
143 views

Finding patterns in various-length binary sequences

I have a large number of binary sequences of different lengths (time-series of observations of the occurrence (1) and non-occurence (0) of some thing) and I am wondering how I could find patterns that ...
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Mean of the posterior distribution in bayesian linear regression with infinitely broad prior

Currently reading from Christopher Bishop's Pattern Recognition and Machine Learning book about parameter distribution under a bayesian linear regression. On page 153, the author deduces that the ...
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A simple method for finding the $n$ most distinctive shapes in $x \times y$ pixels region?

Suppose that we have an area made of $x\times y$ pixels. By turning those $x\times y$ many pixels on and off, we can create $2^{x\times y}$ many possible shapes. But obviously many of those $2^{x\...
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Dealing with imbalanced data-set and cross-validation

I have a data set of brain tumours, 700 malignant, and 225 benign. And I want to build a classification model using SVM, to classify the tumours types based on the data I have. My first question, is ...
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Using the appropriate method for measuring the similarity of 1-D discrete time series data

I have a data of a 1-D time series data (more than 4000 points), they have fixed spacing, sample at fixed frequency. My task is to 'extract' the part in this data that match/look similar to my input ...
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Neural network does not learn and can not generalize [duplicate]

English is not my mother tongue and I'm still a student, so I'll apologize for mistakes. I made a neural network in java for a school project to recognize the mnist manuscripts. Therefore, I can not ...
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Which machine learning approach to use for data with very low variability and a small training set?

My goal is to write a program which recognizes the chess position in an image of a digital game. I'm not trying to process actual photos of a game in real life, just images like the own below This ...
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Hottest news on 'why does Deep Learning work so well' [closed]

At the beginning of last year I was trying to study some papers which were tackling the question "Why does deep learning work so well", but I had to stop due to overwhelming work problems. I'd love ...
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Modeling words in a language based on their characters

I have different sets of strings, where I assume that each set follows some rules or patterns. For example, the first character must be a number, or the 3rd and the last characters must be the same, ...
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1answer
366 views

Minimum Input Dimension for Autoencoder Neural Network

Model: Assume we want to learn patterns using an autoencoder neural network. In the simplest case, such a network is "shallow" with 1 hidden layer, takes a $d$-dimensional numerical input vector $x$, ...
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How do deep CNNs handle problem of “perceptual aliasing” while visual place classification?

Deep CNNs have achieved state-of-the-art performance in image classification. The underlying concept of place recognition is similar to image classification where the task is to classify or recognize ...
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1answer
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In handwritten digit recognition problem using logistic regression, what changes needed to add another class “Not a Digit”

In handwritten digit recognition problem using logistic regression, normal implementation would forcibly classify even a picture of dog or cat as a digit. To eliminate this, what changes are needed to ...
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How to make recognition of the important document's attributes

We have a set of PDFs with the different types of documents from the various companies. The goal: to predict which of them contain some important attributes (for example, document number, customer ...
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2answers
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Why map the pixel grayscale [0, 1] to [0.01, 0.99] before feeding to the neural network? (MNIST digit recognition)

In this introduction to neural networks (I enjoy it because it builds a digit-recognition neural network from scratch with just numpy, without any high-level NN library like pytorch or tensorflow; ...
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1answer
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Suggestions for statistical model/approach to “Pattern recognition for non-uniform time data”

I have a dataset from which I would like to detect recurring patterns (i.e: daily, weekly, monthly). The dataset only contains a time stamp (datetime), and the spacing is non-uniform. The ...
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107 views

How to forecast a set of different time series?

I am trying to forecast a large set of time series that feature very different characteristics. The figure below shows three exemplary series: My first idea was to identify periodical repetitions as ...
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2answers
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Can sentiment “analysis” be called sentiment “recognition”? [closed]

In sentiment analysis application of NLP, we are basically required to predict an emotion given a piece of text. Can we say that we are doing "sentiment recognition" instead of "sentiment analysis" ?...
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Is there any method to figure out if a random variable has a sine oscillation pattern?

I have a random variable and wondering if there's a mathematical test to see if it has an oscillation pattern like a sine wave. Data is a time series collected every day and follows a random walk. ...
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Probability of successful charging based on independent historical or sample data [closed]

I tried my best to find a solution, but failed to find a decent one. Imagine I want to charge a customer and I have last three days of random charge try data: ...
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1answer
31 views

Detect cyclic patterns in stream of characters with random noise

I am looking for an algorithm which can detect cyclic pattern in streams of characters which have random noise embedded in them. An example of cyclic pattern with a set of characters a - m for a ...
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1answer
29 views

Structure Recognition within images by Machine Learning with scikit-learn

I want to solve the following problem: Quantify the share (numbers of pixels) of soil, leaves and fruit (ears) within the given image. For soil, this can easily be solved by looking at one of the ...
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What is the final goal of RobustPCA methods?

I have an ongoing research that is about clustering and for assigning each data point to a specific cluster, I'm using the Mahalanobis criterion that is gravely based on the covariance matrix of the ...
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1answer
293 views

Kullback-Leibler divergence is not symmetric but why mutual information is symmetric?

As we know Kullback-Leibler divergence is not symmetric and mutual information is the KL divergence between P(X,Y) and P(X)*P(Y).So my question is that why mutual information is symmetric which is a ...
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2answers
153 views

How can PCA eigenvectors be used to classify images?

I have been asked to classify a set of images (which are in two class) using 10 component eigenvectors. I've got no problem in generating eigenvectors of images, However I have no idea how ...
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Can you help me understand why there is a $h^d$ but not h in parzen window

Is that because x is d dimension. And when we do the change of variable, we have to do that? this is where my question comes from: How to show that the general parzen window provides a probability ...
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441 views

Gesture recognition using hidden Markov model

I am trying to recognise human activity gestures using hidden Markov model. I have created a dataset such that, when I do a particular gesture 10 observation arrays are generated with time. Each ...
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Extracting characters with certain pattern in R [closed]

I need to extract the characters following certain pattern. For example, I have such text: AASKI Technology Inc., Tinton Falls, New Jersey, HC1047-18-D-2001; Accenture Federal Services...(HC1047-...
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275 views

How to normalize price data for Dynamic Time Warping?

I'm using package dtw (R) to compare subsets of a price time-series. I have 100 observations through which I loop a rolling window and extract subsets of 5 consecutive observations. I thus obtain ...