15
votes
Accepted
Using AI to extend an imagine pattern
As Edoardo says in their excellent answer, the task at hand can be approached as an outpainting problem and there's some great tools available to do this.
To throw an alternative into the ring, I'd ...
- 321
9
votes
Using AI to extend an imagine pattern
The task you would like to accomplish is referred to as "outpainting". See example below.
Very recently, OpenAI released an outpainting feature that extends the possible operations to ...
- 5,428
5
votes
How can I use neural networks for detecting TV channel logos in video frames?
To perform image recognition you have to find a way to represent an image with certain features.
One of the defining characteristics of a good image recognition algorithm are it's ability to detect ...
- 1,186
4
votes
Accepted
What approach should I use to detect faces in video game footage?
At first, you can find lots of information as pedestrian detection. As you are trying to localize game characters, the face is not the best option. You need to look for the character in general.
...
- 366
4
votes
Accepted
Solving logical pattern puzzles with Machine Learning?
These specific puzzles are called Raven's Progressive Matrices, a common psychometric tool used to measure the IQ. Knowing that is easy to find references. Here just a few examples, but the literature ...
- 5,428
3
votes
What are some tactics for recognizing artificially made media?
Digital Media Forensics (DMF) field aims to develop technologies for the automated assessment of the integrity of an image or video, so DMF is the field you are looking for. There are several ...
- 41.4k
3
votes
What are the differences between machine learning, pattern recognition and data mining?
Terms in a field are sometimes defined unambiguously. For instance, we know what convergence means when communicating about machine learning algorithms in academic publications because it has a formal ...
- 7,513
3
votes
Use mobile device camera for moving pattern recognition
Firstly, before we commence I will recommend that you refer to similar questions on the network i.e. https://stackoverflow.com/questions/6499880/ios-gesture-recognition-utilizing-accelerometer-and-...
- 1,186
3
votes
How can I use neural networks for detecting TV channel logos in video frames?
Because it is video input and the logos are usually stationary because they are layered over the live or recorded frames by either hardware or software, the task is not difficult. Logos also usually ...
- 7,513
3
votes
Accepted
Is there a way to perform pattern recognition without a labeled training set?
You should look into unsupervised learning, which is machine learning without a human-labeled training set.
- 2,111
3
votes
Accepted
Is music/sound similarity comparison feasible on neural networks?
Yes, it is possible, even if the best approach could be different from neural networks. Anyway, you should extract some significant features from the audio (energy, onsets, root frequencies, and ...
- 146
3
votes
Detect street and sidewalk surface in aerial imagery (neural network)
Yes, in fact neural networks (NNs) are very efficient at segmentation and it seems to me that your problem matches the capabilities of neural networks very well.
I think it best for you to truly ...
- 470
3
votes
Which machine learning algorithm can be used to identify patterns in a dataset of the cache performance of a CPU?
You're basically looking for is unsupervised learning (UL). There are a lot of UL techniques around, but I'm not sure you'll find one that does exactly what you want with no user input at all. Still, ...
- 3,767
3
votes
Accepted
Is there a machine learning algorithm to find similar sales patterns?
If I understand correctly you want to find companies with similar patterns to yours.
I would start with measuring cosine similarity between your company and ...
- 216
2
votes
how to recognise handwriting and convert into text?
What you described sounds to me like Optical Character Recognition(OCR).
If you want to implement your own, I would say read through how an open source OCR like Tesseract was implemented.
...
- 850
2
votes
Detect patterns in sequences of actions
This task falls within the overlapping fields of information extraction and pattern mining. Information extraction involves automatically extracting instances of specified relations from data. While ...
- 1,186
2
votes
What would the commercial application of a conscious AI look like/be?
They may be just for fun. If you had a robot that understood you, could hold a conversation with you about your interests, and even had goals of its own (good or bad), it wouldn't really need to do ...
- 21
2
votes
What are some techniques/method that can be used to train and detect objects like cars and humans?
The terms you are looking for are deeplearning and convolutional neural networks for object detection. Google responds well to these terms.
From academical point of view you can start from:
Single ...
- 341
2
votes
Is Christopher Bishop's "Pattern Recognition and Machine Learning" out of date in 2018?
This book is still relevant today!
It describes many ML concepts, such as linear regression, neural networks, support vector machines, Gaussian processes, probabilistic graphical models, variational ...
- 41.4k
2
votes
Accepted
Will training an AI still work if the input data is somewhat sparse?
First, the title mentions "sparse data". Recently the expression has taken a clear meaning: The agent input is data with mostly zeros. In the question a different meaning: A "sparse data stream", ...
- 1,510
2
votes
Using neural network to recognise patterns in matrices
Would I be right in saying that this becomes a sort of 'pattern recognition' problem?
Technically, yes. In practice: no.
I think you might be interpreting the term "pattern recognition" a bit too ...
2
votes
Image recognition service architecture
That is one of the good example for research. Personally, I prefer to segment out all the desired outputs at once. Then, check the success rate. If you cannot hit the success rate that you desire, you ...
- 366
2
votes
How could I use machine learning to detect text and non-text regions in scanned documents?
TextDetector, Tesseract and other open source packages implement text detection (object detection for text). There's also a pretrained Tensorflow model that does text detection. A text detector will ...
- 151
2
votes
Accepted
How to recognize non-circular radial symmetry in images?
The Hough Transform extended to orthogonal ellipses uses this model, accumulating on $\theta$ for all $\{x, y\}$ with parameter matrix
\begin{Bmatrix}
c_x & c_y \\
r_x & r_y
\end{Bmatrix}
...
- 7,513
2
votes
Accepted
How can AI be used to more reliably analyze and plan around the tie between climate and emissions?
Can AI provide a more reliable analysis of the gross effects of carbon emissions on extinctions of species ice-cap melting, and other effects?
Yes. The work of Judea Pearl and others over the last 20 ...
- 9,392
2
votes
How could I use machine learning to detect text and non-text regions in scanned documents?
Since the document is scanned, it will not be in an open document format so no associated API can be used.
Approach 1
Evaluate TextBridge Pro, FreeOCR, and other alternatives that purport page ...
- 7,513
2
votes
Finding anomaly detection by pattern matching in a set of continous data
Without knowing the kind of data and the process generating it it's hard to give a definite answer.
In general, I would attempt a network that has as inputs the actual sensor readings, and outputs the ...
2
votes
Finding anomaly detection by pattern matching in a set of continous data
Instead of using a neural network, simply sample as many non-anomalous readings from each sensor as you can. If the distribution of the readings from each sensor is approximately normal (check the ...
- 603
2
votes
Is there a machine learning algorithm to find similar sales patterns?
I would recommend a hierarchical cluster algorithm, after normalising your numbers into proportions. Then the clustering should be able to identify similar patterns. Depending at which level you make ...
- 5,417
2
votes
Neural networks for sports betting
This is probably not going to work well as a way to make money. People with far larger budgets, and far more training, are already milking out any money to be made this way. This is probably their day ...
- 9,392
Only top scored, non community-wiki answers of a minimum length are eligible