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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18 views

How to improve detection of wide objects?

I am working on a project where part of it is to detect PV module arrays, I trained few object detection models through TensorFlow Object Detection API and the problem I got is that the trained models ...
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28 views

How to detect dynamic hand gestures?

I already know how to detect static hand gestures like fist, peace etc. I wonder however, how to detect dynamic hand gestures like swipe left/right or "draw" circle with hand. Is some kind ...
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33 views

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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To find the accuracy between two patterns by comparing the similarity socre

I have faced problem with finding the similarity scores between two patterns. For example, I have normal ECG pattern and abnormal ECG pattern . Then I want to get find the accuracy of normal pattern ...
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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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27 views

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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32 views

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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64 views

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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33 views

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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44 views

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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35 views

What kind of ANN should I use for this problem?

I want to develop a neural network for my data, but I have no idea if my problem should be solved with curve fitting, classification or maybe something else. Here is my problem. My input data are some ...
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96 views

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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How can I group the entries of the network traffic by their similarity?

I have the traffic of my network (with hundreds of entries). Below I am showing only 9 entries. ...
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1answer
75 views

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 can I adapt this script (to test the robustness of a perceptron) to test the robustness of a multi-layer perceptron?

The following script is from Trappenberg's Fundamentals of Computational Neuroscience and is used to test a perceptron's robustness against noise. However, how would one alter it to test the output ...
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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 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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25 views

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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1answer
485 views

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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194 views

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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95 views

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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What neural network can be used to detect patterns and anomalies of a network map?

What neural network can be used to detect patterns and anomalies of a network map. The network data comes from tools like nmap and masscan.
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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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1answer
33 views

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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240 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 ...
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615 views

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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111 views

What does the CM1K chip (which uses ZISC) exactly do?

There's been a lot of apocalyptic hype (on the media) about CM1K and other similar technologies. Elon Musk has voiced fears about it taking over the world, which unfortunately are not unfounded. My ...
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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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1answer
185 views

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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Could AI understand what the number one is and detect it in our real world same as AI can recognize cars and other things?

I have a solid understanding what the numbers are. If I want, I can see numbers in everything. Could an AI have the same ability for any incoming information to tag them by numbers same as I have?
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109 views

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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774 views

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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71 views

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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128 views

Machine diagnostics with fuzzy Logic

I'm an embedded systems designer, with a little background in fuzzy logic. I'm developing a device for machine diagnostics based on a series of sensors data. My question is whether through fuzzy ...
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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?

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 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 learning ...
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Detect visual attention area in an image

I'm trying to detect the visual attention area in a given image and crop the image into that area. For instance, given an image of any size and a rectangle of say LxW dimension as an input, I would ...
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1answer
63 views

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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380 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 ...
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63 views

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 (...