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Questions tagged [pattern-recognition]

Pattern recognition is the term given to the science of automating the classification of input into pre-determined categories, or on the other hand, of being able to recognise particular categories of input by their characteristics.

Pattern recognition is the assignment of a label to a given input value. It is a kind of classification task, such that an input is classified to pre-trained class. Pattern recognition is studied in many fields, including psychology, psychiatry, ethology, cognitive science, traffic flow and computer science.

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Multinomial Naive Bayes for OpenCV

I'm looking for a Multinomial Naive Bayes classifier written in C/C++ for use with OpenCV. I'm looking for the Algorithm (or a readymade implementation) as it will be more helpful as I'm trying to understand on how it works?
garak
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How to detect face recognition using Kinect?

I'm trying to develop a software where can detect face recognition using Kinect. Until now, I just know I can use OpenCV to do this feature. I just want that the camera can save the face and recognize him later. I've just use KinectSDK, so I need…
Darf Zon
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Which will be the Effective Binarization for OCR

I am newly trying to work with images. I am trying to develop a OCR for hand written images. By referring some books i started my work Now I have a confusion which will be the best thresholding method. I know Local Adaptive method will be the best…
karthikeyan
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Cluster URLs based on their pattern using Python

I am new to clustering techniques and I highly value any input you can provide for my problem bellow. Basically, I want to cluster URLs based on their structural patterns. for example cluster1 - simple URLs https://domain/path/file cluster2 -…
Mathee
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Is there an algorithm to find known size and shape object in an image?

Since image processing and computer vision aren't of my field of study I'm having difficulty finding an algorithm that can identify the positions of rectangles of known size and proportion in certain images to automate a process. These are grayscale…
Bruno
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Detect a rectangle bound of an character or object in black/white or binary image

I'm developing a handwriting recognition project. one of the requirements of this project is getting an image input, this image only contains some character object in a random location, and firstly I must extract this characters to process in next…
nguyen
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Finding Accuracy between two patterns

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 while comparing with abnormal ECG pattern. So my…
M_K
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OpenCV - Detect (one of) multiple objects in image

I have image with wood trunks. I have to detect each wooden trunk individually. It looks similar like following image: wooden trunks Do you have any ideas about approaches how to do that? Should I use Al? Or just machine learning like SVM? Or some…
user12651635
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Log Template Generator

From the logs, I would like to find Unique logs or rather unique log template. And use a custome String like < XXX > to show the blanks. Example, Server Stats 1001 created by 12, hosted. Hosting Failed by 12 Server Stats 1003 created by 14,…
user2458922
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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 a pattern in the series of values.If the values…
Fasty
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Pattern Recognition using neural networks

I want to design a neural network which can be used for pattern recognition instead of traditional classification. Is it possible for me to build such a neural net which can generate a pattern as an output ? Also, how to deal with text data sets in…
pr22
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Keras: LSTM time resolution via look back or amount of layers

If I look at my data with different look back steps, would the result be the same/similar if I use more LSTM layers? Or differently asked, would I also gain different time-resolutions or do more layers not mean different time resolutions but only…
Florida Man
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What is the difference between "FCM(Fuzzy C Means)" and "GMM(Gaussian Mixture Model)"?

I am having pattern recognition class. My teacher need us to find out the difference between FCM and GMM, but I think these two clustering algorithm have no similarity. Hoping someone who knows could help me.
L.lucia
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Matlab KNN CLASSIFIER ERROR-College Project

So i have a project as a part of a final exam in which i have to create and train some models to detect malicious executables based on data mining and machine learning techniques. I have a dataset of 14998 samples grouped on two tables of…
DimZ
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explain backpropagation algorithm bishop codes

I've recently completed Professor Ng's Machine Learning course on Coursera, but I have some problem with understanding backpropagation algorithm. so I try to read Bishop codes for backpropagation using sigmoid function. I searched and found clean…
mkafiyan
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