Questions tagged [pattern-recognition]

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

22 questions with no upvoted or accepted answers
Filter by
Sorted by
Tagged with
3
votes
0answers
42 views

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 ...
2
votes
0answers
64 views

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'...
2
votes
1answer
73 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 ...
2
votes
0answers
29 views

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 ...
2
votes
0answers
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) ...
2
votes
0answers
16 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 ...
2
votes
0answers
36 views

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 ...
2
votes
1answer
181 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/...
2
votes
0answers
495 views

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 ...
1
vote
0answers
27 views

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 ...
1
vote
0answers
27 views

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 ...
1
vote
0answers
15 views

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 ...
1
vote
0answers
29 views
1
vote
0answers
109 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 ...
1
vote
0answers
53 views

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. ...
0
votes
0answers
14 views

Graph pattern recognition

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 ...
0
votes
0answers
6 views

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 ...
0
votes
0answers
27 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: ...
0
votes
1answer
38 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 ...
0
votes
0answers
34 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 ...
0
votes
0answers
55 views

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. ...
0
votes
0answers
43 views

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.