Questions tagged [pattern-recognition]

For question about recognition of patterns (generally sequence of values following a certain mathematical equation) of any physical quantity.

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What ML/DL algorithms for frequency spectrum pattern classifications?

I have a set of known frequency spectrum data for this set of chemical compounds. Then the unknown Y is the mixture of some of these compounds. The task is to determine what compounds are in this ...
David293836's user avatar
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Unclear points in scaled Euclidean distance

The following is from a machine learning book. I did not understand the explanation given in the figure caption. Could some expert make it clear? Why is the stretching class-dependent for the center ...
DSPinfinity's user avatar
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Cooperation between pattern recognition and neural networks for better design of AI

I continue to try to understand how a human brain works and how we can use it to set up AI which would copy the behavior of a actual person. A few days ago I uploaded a question where I described a ...
Cerise's user avatar
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Unclear points on feature extraction for a set of scenarios

The following is an example from a book (An Introduction to Pattern Recognition and Machine Learning by P. Fieguth, page 85) on feature extraction and selection. Please consider the following figure. ...
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Where can I find a model trained to detect patterns of an object like laboratory mice?

I am working on a real-time pose detection project using a model trained by DeepLabCut, which utilizes .pb and .yaml files for the model. My aim is to find a model or method that can help me detect ...
Jimena García's user avatar
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Clustering key, value pairs with similar meanings

I have a dataset of key-value pairs that describe specific medical laboratory mappings. Example of this data: Group Name Specific Test Name Blood Test Red Blood Cells Blood Test Hemoglobin ...
DemCodeLines's user avatar
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Using AI to extend an imagine pattern

I have created some nice patterns using the MidJourney tool. I'd like to find a way to extend these patterns, and I was thinking about an AI tool that takes one of these patterns and extends it in all ...
Nicola Lepetit's user avatar
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What is the role of self loop in Hidden Markov Models(HMM)?

What actually does the self-loop (within the single hidden state ) in the Hidden Markov model helpful for? I learn that one of the use cases concerning Natural language Understanding is that it helps ...
Pam Cesar's user avatar
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Pattern recognition for live stream Time serie

I would like to submit you a problem with which I struggle. Suppose I have this kind of record over time in a dataframe: fig.1 If we zoom in a bit we see such shape: fig.2 We see that the general ...
Tiffany L's user avatar
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How to count overlapping objects with neural networks

Consider the following task to be solved by a neural network: Given a $N\times N$ pixel grid with up to $M$ objects drawn on it, either squares (9 pixels) or diamonds (5 pixels): square    diamond The ...
Hans-Peter Stricker's user avatar
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Solving logical pattern puzzles with Machine Learning?

I found this kind of problem while reading about some web tests companies use to screen applicants. It is a puzzle where you need to guess what comes inside? Looking at this made me wonder, How would ...
Leonard's user avatar
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For a task that searches for an image artifact within a picture, can existing tools can be used or do I need to design the process myself?

I am familiar only with basic AI/NN concepts but never worked with any libraries/tools as tensor flow. Currently, I have a task for which AI might be ideal: detection of a certain image artifact in a ...
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How to build neural network that detects changed signal firing pattern and is trained on positive patterns only?

Let's have a set of n devices firing signals. Devices are firing in the same cycles, but each device can fire in different phase of the cycle. More, the exact firing point can fluctuate, for example ...
Tom HANAX's user avatar
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How can abstract graphs be recognized by neural nets?

Recognition of optical patterns (as pixel maps) by neural networks is standard. But optical patterns may be only slightly distorted or noisy, and may not be arbitrarily scrambled – e.g. by ...
Hans-Peter Stricker's user avatar
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Is there any known technique to determine a graph from a 1D signal pattern?

I'd like to evaluate the possibility of using a Machine/Deep Learning technique as a sort of pattern recognition and parameters estimation. The problem I want to address can be stated as follows: Let'...
Jaldropio's user avatar
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Which algorithm can be used for extracting text patterns in tabular data?

I am working with tabular data that is similar to the below: Name Phone Number ISO3 Country Amount Email ... ... Outcome Possible Reason Leona Sunfurry (555)-555-5555 United States 58.96 leo_sun@...
Petar Luketina's user avatar
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Number Series Continuation? [closed]

I am new to AI. I have a series of numbers ranging from x to y and I have a lot of data to train with What I am trying to do is, let's say from 0 to 1, I train it with data calculated over time and ...
RobiNERD's user avatar
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Mining repeated subsequences in a given sequence

Given an alphabet $I=\left\{i_1,i_2,\dots,i_n\right\}$ and a sequence $S=[e_1,e_2,\dots,e_m]$, where items $e_j \in I$, I am interested in finding every single pattern (subsequence of $S$) that ...
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Find repeating patterns in sequence data

I have database of sequential events for multiple animals. The events are represented by integers so it looks something like: ...
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How to use a NN for seq2seq tasks?

I am trying to make a NN(probably with dense layers) to map a specific input to a specific output (or basically sequence2sequence). I want the model to learn the relation between the sequences and ...
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What kind of neural network can be trained to recognise patterns?

Is there a type of neural network that can be fed patterns to train itself on to complete new patterns that it has not seen before? What I'm trying to do is train a neural network to transform an ...
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Does anyone know of a model for comparing the eyes of people in two images to see if they match?

There’s a lot of talk of undercover cops intentionally starting violence in otherwise peaceful protests. The evidence, primarily, are images like this. https://images.app.goo.gl/4n3o2EXwFzMQfsKq6 ...
Lockchain's user avatar
2 votes
1 answer
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When labelled data is not available, what are some common unsupervised learning algorithms for pattern recognition that can be used?

In pattern recognition systems, when no labeled data is available, what are some common unsupervised learning algorithms for pattern recognition, that can be used?
Steven M's user avatar
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What method to identify markers in data series via machine learning

I have data that is collected from several different instruments simultaneously that is generally analyzed on a location-by-location basis. A skilled interpreter can identify "markers" in the data ...
user1563247's user avatar
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How I can identify holes in a 3D CAD file?

How I can identify holes in a 3D CAD file? I want to identify different types of holes, counterbored or countersunk holes. My program lets me extract, for example, the faces and adjacency of the ...
MLGuy's user avatar
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Data classification model to detect a process in an event log

There are many example in python which has a ready made data set, for example there is T-Shirt pre-trained data and thousands images, within few minutes it will tell how many t-shirt images are there ...
Dickens A S's user avatar
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Suitable algorithms for classifying terrain condition (asphalt, dirt etc) for motor vehicles

I am required to obtain data through a sensor located on the vehicle reading speed, vibration, roll and tilt, within a sample time, to classify the current road condition using machine learning for a ...
Navoda Bandara's user avatar
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how to convert one structured data to another without specifying structure

I have lots of text documents structured as ...
Sim101011's user avatar
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How to detect patterns in salary distribution if we are suspecting malicious distribution based on employee's region?

We are having suspects in salary distribution in our organisation due to employee's region. The data we have is as the following: ...
alim1990's user avatar
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How can I recognise possibly overlapping line segments in 2D?

I am given a 2-dimensional picture (black & white, white background) and it is assumed that there are some 'sticks' (basically 'thick lines' with different widths and lengths) that are (mostly) ...
Martin's user avatar
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Neural networks for sports betting

I want to design a neural network that can be used for predicting sports scores for betting, specifically for American football. What I’d like to do is create a kind of profile for each game based on ...
SuperCodeBrah's user avatar
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Can a neural network be used to detect sine waves?

I am recording the vibrations of an AC Motor (50Hz Europe) and I am trying to find out whether it is powered on or not. When I record these vibrations, I basically get the vibration values ($-1$ to $+...
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How to detect patterns in a data set of given IP addresses using a neural network?

How to detect patterns in a data set of given IP addresses using a neural network? The data set is actually a list of all the vulnerable devices on a network. I want to use a neural network that ...
Uzair Ahmed's user avatar
2 votes
0 answers
25 views

Product Configuration based on user selection of features and other requirements

Is this a scenario that would work well for a ML/Pattern Recognition Model or would it be easier/faster to just filter from a large DB. I am looking to create a system that will allow users to ...
Brian McAuliffe's user avatar
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1 answer
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Changes in flow detection neural network?

Do you have any advice, what architecture of neural network is the best for following task? Let input be some (complex function), the neural network gains a flow of its values, so I guess there will ...
user8426627's user avatar
1 vote
3 answers
474 views

Recognize pattern in dataset

I'm currently working on a group project where we need to find a pattern in a given dataset. The dataset is a collection of X, Y, Z values of a gyroscope from someone who is walking. If you plot these ...
Csev's user avatar
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6 votes
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Is there a machine learning algorithm to find similar sales patterns?

I have a dataset as follows (and the table extends to include an extra 146 columns for companies 4-149) Is there an algorithm I could use effectively to find similar patterns in sales from the other ...
Anonymous's user avatar
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Facial Recognition + Database + Compare & Identify - is it complicated? [closed]

The last week I've been looking for freelancers who are able to do this project for me but they weren't that experienced in it, so I would like to know whether my idea is complicated or is it their ...
user23252's user avatar
2 votes
2 answers
218 views

Finding anomaly detection by pattern matching in a set of continous data

I have series of sensors (around 4k) and each sensor will measure the amplitudes at each point.Suppose I train the neural network with sufficent set of 4k values (N * 4k shape). The machine will find ...
Fasty's user avatar
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Presence of object (highly occluded vehicle) in a scene

How to detect presence of object (highly occluded) in a scene? There are specific features (small patterns, etc), which allow to say that object is present, but it is not enough for detection for ...
agsci's user avatar
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1 answer
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Anomaly Detection in distributed system using generated log file

I am developing an AI tool for anomaly detection in a distributed system.  The system supports an interface that combines several individual logs into a single log file generating approx. 7000 entries/...
Ben's user avatar
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Bubble Chamber Image Analysis Using Neural Network

I have a data analysis problem that I can reduce to one similar to analyzing the trajectories in the images below. These images show the tracks of subatomic particles interacting in a bubble chamber. ...
Jim's user avatar
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2 votes
1 answer
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How do we know the classification boundaries of the data?

Consider an image classification problem. Conceptually, we then have some high dimensional space where all the images can be represented as points, and having large enough labeled data set we can ...
Denisof's user avatar
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3 votes
2 answers
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How could I use machine learning to detect text and non-text regions in scanned documents?

I have a collection of scanned documents (which come from newspapers, books, and magazines) with complex alignments for the text, i.e. the text could be at any angle w.r.t. the page. I can do a lot of ...
bipul kalita's user avatar
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2 answers
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How to recognize non-circular radial symmetry in images?

This is a question about pattern recognition and feature extraction. I am familiar with Hough transforms, the Fast Radial Transform and variants (e.g., GFRS), but these highlight circles, spheres, ...
Andrew Eisenhawer's user avatar
1 vote
1 answer
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How can AI be used to more reliably analyze and plan around the tie between climate and emissions?

Note to the Duplicate Police This question is not a duplicate of the Q&A thread referenced in the close request. The only text even remotely related in that other thread is the brief mention of ...
Douglas Daseeco's user avatar
5 votes
3 answers
4k views

How can I detect datetime patterns in text? [closed]

I want to explore and experiment the ways in which I could use a neural network to identify patterns in text. examples: Prices of XYZ stock went down at 11:00 am today Retrieve a list of items ...
Amresh Venugopal's user avatar
5 votes
1 answer
1k views

Is Christopher Bishop's "Pattern Recognition and Machine Learning" out of date in 2018?

I recently came across a reference to a book that was highly regarded: "Pattern Recognition and Machine Learning" by Christopher Bishop. I am a beginner working my way through some machine ...
Hanzy's user avatar
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2 votes
1 answer
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Will training an AI still work if the input data is somewhat sparse?

I'm looking at writing an AI agent for pattern recognition. I want to be able to constantly feed new data to the AI to continuously train it as new data may have new patterns. My problem, though, is ...
Alexis Wilke's user avatar
11 votes
4 answers
468 views

What are some tactics for recognizing artificially made media?

With the growing ability to cheaply create fake pictures, fake soundbites, and fake video there becomes an increasing problem with recognizing what is real and what isn't. Even now we see a number of ...
Andrew Butler's user avatar