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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12
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4answers
373 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 ...
11
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1answer
19k views

How can I train an AI to find known and new patterns in a log file? [closed]

I'm developing an AI tool to find known equipment errors and find new patterns of failure. This log file is time-based and has known messages (information and error). I'm using a JavaScript library, ...
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2answers
3k views

Use AI or Neural Network for logo detection

I am trying to detect a TV channel logo inside a video file, so simply given an input .mp4 video, detect if it has that logo present in a specific frame, say first ...
10
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3answers
2k views

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 (...
9
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3answers
356 views

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 ...
9
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4answers
9k views

Which machine learning algorithm can be used to identify patterns in a dataset of the cache performance of a CPU?

I need a machine learning algorithm to identify patterns in a dataset (saved in a CSV file) that contains details of the cache performance of a CPU. More specifically, the dataset contains columns ...
8
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1answer
147 views

What artificial intelligence strategies are useful for summarization?

If I have a paragraph I want to summarize, for example: Ponzo and Fila went to the mall during the day. They walked for a long while, stopping at shops. They went to many shops. At first, they didn'...
7
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3answers
3k views

What are the differences between machine learning, pattern recognition and data mining?

I know a little about these subjects. I found them similar to each other. Can anybody explain the differences between them?
7
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1answer
114 views

Which challenges in information security can be solved better using neural networks?

Information security has become a thriving field during the last years. It is a broad domain ranging from planing and building over testing to operating different applications, systems and networks in ...
5
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2answers
500 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 ...
5
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3answers
2k views

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 ...
5
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1answer
221 views

Detect patterns in sequences of actions

I have to analyse sequences of actions that look more or less like this JSON blob. The question I'm trying to answer is whether there are recurring (sub)patterns that different users adopt when asked ...
4
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1answer
148 views

What approach should I use to detect faces in video game footage?

I have set myself the challenge of detecting the locations of players/bots in videos of a well known first person shooter game (this is for a youtube series I'm planning on doing). I'm not sure which ...
4
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3answers
175 views

Intelligence over simple data

Let's say we already have an intelligent system (as a computer program). We give it some simple data from outside world, and system tries to predict it. The question would be: what kind of patterns ...
4
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2answers
752 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 ...
4
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1answer
1k views

Is music/sound similarity comparison feasible on neural networks?

I wonder on the following concept: A given neural network gets two audio input (preferably music) and gives a real number between 0 and 1 which describes "similarity" between the second and the ...
4
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1answer
452 views

Is there a way to perform pattern recognition without a labeled training set?

I have a 10GB file of a time series 1D signal. I want to find some patterns within this signal, I know CNN's are great for this but the problem is I don't have any training data. Now, I could, of ...
4
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1answer
165 views

What are some techniques/method that can be used to train and detect objects like cars and humans?

I have used OpenCV to train Haar cascades to detect face and other patterns. However I later realized that Haar tends to give a lot of false positives and I learned of Hog would give a more accurate ...
4
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2answers
125 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 ...
4
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2answers
194 views

What would be the result of an AI that does not find any pattern according its available methods of pattern recognition?

What would be the result of an AI subject to a data stream or information stream, fed to it from events in an "external world", if it could not find any pattern within that stream by the ...
3
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3answers
355 views

How to achieve recognition of postures and gestures?

I'd like to investigate the possibility of achieving similar recognition as it's in Honda's ASIMO robotp.22 which can interpret the positioning and movement of a hand, including postures and gestures ...
3
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1answer
675 views

Detect street and sidewalk surface in aerial imagery (neural network)

I would like to detect street and sidewalk surface in a very detailed (0.075m/pix) USGS High Resolution Orthoimagery which basically means image segmentation with two classes. Places in question are ...
3
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2answers
70 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, ...
3
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2answers
51 views

Image recognition service architecture

A question for developers of projects for pattern recognition. How best to organize the architecture of such a service? At what stage do you conduct logic? (for example, for the recognition of a ...
3
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1answer
909 views

how to recognise handwriting and convert into text?

I'm trying to develop a project that recognises handwriting and converts into text. What are the algorithms and tools to be used?
3
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2answers
175 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 $+...
3
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1answer
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 ...
3
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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
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2answers
121 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 ...
2
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3answers
126 views

Building Profile Based Off Speech Patterns

Has there been research done regarding processing speech then building a "speaker profile" based off the processed speech? Things like matching the voice with a speaker profile and matching speech ...
2
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3answers
111 views

What would the commercial application of a conscious AI look like/be?

Sometimes, but not always in the commercialization of technology, there are some low hanging fruits or early applications, I am having trouble coming up with examples of such applications as they ...
2
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1answer
43 views

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?
2
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2answers
71 views

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?
2
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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 ...
2
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1answer
59 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 ...
2
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1answer
94 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 ...
2
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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 ...
2
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1answer
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 ...
2
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2answers
460 views

Could a CNN hear the difference between sound of a pet moving, and a person?

"Deep Learning" neural networks are now successful at image-recognition tasks that I would not have expected say 10 years ago. I wonder if the current state of the art in machine learning could ...
2
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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
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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
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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
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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
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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
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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 ...
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1answer
39 views

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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1answer
92 views

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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1answer
412 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 ...