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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How to identify patterns of errors in text recognition
I have a text recognition model that takes an image of a word as input and I want to identify if there are any specific patterns in the prediction that it consistently gets wrong.
I assume there must ...
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How to filter point data based on pattern
I have a set of points represented as (x, y), and wish to separate out chunks/clusters of them which represent a ball trajectory.
For example, in the two sample images below I wish to find out cluster ...
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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 ...
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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 ...
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How to identify pulse pattern in data
So I am using a pulse sensor which is giving out a certain data. When I place my finger on the sensor and see the data plotted in a graph it shows a varying (non-repetitive as no two pulses are ...
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ML algorithm to estimate height and breadth of building like structure from 2D image
Following is my image in the question.
What ML algorithm will help me to estimate the height and breadth of building like towers in the image. The blue painted buildings that look like shadow is the ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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'...
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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@...
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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 ...
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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
...
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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?
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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 ...
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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 ...
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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 ...
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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 ...
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how to convert one structured data to another without specifying structure
I have lots of text documents structured as
...
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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:
...
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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) ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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/...
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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.
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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 ...
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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 ...
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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, ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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Detect observations under certain conditions
I have a customer purchasing dataset and the data set is from a retailer having an online store and offline stores. So, customers have two options in their shopping channel, online or offline. In an ...
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Using neural network to recognise patterns in matrices
I am trying to develop a neural network which can identify design features in CAD models (i.e. slots, bosses, holes, pockets, steps).
The input data I intend to use for the network is a n x n matrix (...
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