Refers to techniques for classifying data into categories based on similarities (which can either be known previously, or learned).

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29 views

Tool for implementing neural networks [on hold]

I am doing a project on offline signature verification (not classification) using artificial neural networks. Which tool/api should i use? Also mention the options i have with their strengths.
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2answers
34 views

Dynamical time warping for dynamical system classification

I am trying to find a way to classify and segment a large set of time series that each individually describe a dynamical system. I wanted to know if the following idea for doing so is a feasible ...
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17 views

Time series pattern match in large datasets

I want to find in a time series pattern that look similar to a predifined one. At the moment I am using DTW to do this and it works well. But now I want to use it for larger datasets like finding a ...
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30 views

Is my scatter chart random

I used =RAND()*500 in Excel and added to a scatter chart: How can I know if it is indeed Random?
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56 views

What does “the process that generates the data” mean? and How does feature selection help in recovering it?

In [1], one of the motivations to use feature selection is stated to be: "to gain knowledge about the process that generated the data". What does this "process" actually mean? and How does feature ...
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1answer
39 views

Working with subsets of the original data matrices for machine learning

I have seen very educational applications of pattern recognition on complete images. I was wondering if there are methods that could handle cases with the following specifications: instead of full ...
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1answer
32 views

Which 1D graphical pattern recognition algorithm can I use to find similar, fuzzy patterns?

I have data in form of a grayscale bitmaps. The x axis represents different instances and the y axis represents time. For example each pixel's gray value could represent the number of bytes ...
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19 views

Continuous HMM library/Tool for continuous gesture recognition

There are many HMM tools, but most of them only support discrete density HMM (like Matlab). even the tools that support continuous density HMM can only be used for discontinuous gesture recognition. ...
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34 views

Comparing learning methods for facial recognition

I'm studying machine learning for a final exam and I'm trying to solve an example exam question where you need general knowledge of various machine learning methods. The question goes as follows: ...
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35 views

How much does adding few input features to a SVM model affect its 'optimal' parameters?

I have trained a SVM model with RBF kernel, the parameter values of which have been selected by grid searching a wide range of (cost, ...
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2answers
133 views

What test is appropriate for comparing the difference in accuracy between recognition tools?

I have developed a tool that recognizes a set of six classes, and then tested and evaluated its ability to recognize these classes by using the F-score (aka F-measure). I then tested two other tools ...
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23 views

Biologically inspired ANNs

Does anyone know what kinds of pattern classifier artificial neural networks are more biologically inspired?
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22 views
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38 views

What are the benefits and limitations of Apriori algorithm?

In which scenarios will Apriori algorithm fail? Is A->B & B->A considered the same in Apriori? Do they have same support, confidence & Lift?
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20 views

what algorithm is used by google to recognize songs?

I've googled around (which really should be revealing how deep their grip of the world goes :P ) and haven't found any details about the actual algorithm. Just a jumping off point to start researching ...
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58 views

Which are the topics in machine learning that a newbie have to pick up if he is interested in the area of pattern recognition?

This question is asked by a newbie who is interested in machine learning but is absolutely new to it. ML is a very wide topic and it is too much for a newbie to learn everything, then start focusing ...
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47 views

Which model for this information extraction problem?

I am trying to solve the following pattern recognition / information extraction problem. Assume I have a text where each token has been annotated by a single class among $K$ classes available (with a ...
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32 views

Finding causality and cross correlation of multiple variables in time series

I'm new to time series. I have 24 variables in a monthly measured time series from 2009 to 2015. The time series measures how much production data that is registered in a ERP system and are ...
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1answer
56 views

Finding patterns in data sets

Background Info: There is a game called Roblox. It has two virtual currencies, Robux and Tickets. People can exchange them for each other, but their exchange rates ...
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10 views

Pattern recognition

sir, could you please find a solution for this question,Propose a method to effectively compute Rand’s index for results of two clusterings. Result of a clustering is represented as vector. The number ...
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1answer
100 views

Pattern recognition: Not possible with linear classifiers for local and distributed information?

I came across a paper with the following example to discuss the impossibility of localizing important features for certain patterns if linear classifiers are being used: As I understand it, we have ...
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11 views

Finding loop in navigational path using grid occupancy matrix

I am using grid occupancy matrix to represent human navigation path. I need to find loop in the path and count the number of loops as well. The loop can be intersecting each other as well as within ...
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28 views

What is an appropiate machine learning algorithm for my problem?

I was having an idea for a software, which would make use of machine learning, and I started to code it. I got stuck at selecting the algorithm, since I'm not familiar with this field. My use-case ...
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23 views

DeepLearning layer construction good at detection certain patterns?

I am kinda new to the deep learning field, but hope some of you could be helpful clarifying some things.. I am using the Caffe library to create a caffemodel, capable of distinguish the ...
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43 views

Learning a users daily routine and recurring events: Where to start?

I'm computer science student, but completely new to machine learning. I have an app where users can enter when they get up, eat, dring alcohol, doing sports and go to bed. I would like to detect a ...
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31 views

Dress color identification using neural networks

I am looking to implement a model which identifies the colours of dress (shirt/pant/etc) that a person is wearing in a photo. I am newbie to neural networks and not sure how to implement this. Any ...
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3answers
80 views

Finding monthly repeating patterns

I have time series data, collected hourly. I want to find if there are any patterns that repeat monthly. Most articles about this suggest using ACF or Fourier transforms, but that wouldn't work well ...
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1answer
36 views

Is it methodologically valid to try multiple feature selection methods and report the best?

I am working on a classification problem. I have used multiple feature selection methods, and a model is selected (i.e. hyperparameter optimization) and trained for each of the selected features. I ...
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61 views

How can the “underlying process” that generates the data be defined?

I have a limited background in this subject, and I have read sentences like: identifying/modelling the underlying process that generates the dataset of a class can be used to recognize future object ...
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23 views

Binary Pattern Prediction

I have 400K observations, each one is a growing binary pattern where order matters. The goal is to predict the likelihood of the next character. For example, 10101010101? - as humans we can ...
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60 views

How to detect repetitive patterns in questionnaire answers

I am dealing with the question how to detect repetitive patterns in questionnaire answers. The idea is to filter out cases with clear patterns like ...
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47 views

Using gradient information in minimizing error function, in Bishop's Pattern Recognition

In Bishop's book Pattern Recognition, there appears the following paragraph on page 239, where I included the equation he refers to In the quadratic approximation to the error function, ...
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220 views

What statistical analysis should I use for this (attached) dataset?

I have a dataset of 815 positive examples and 9492 negative examples for a certain class. Each example is represented by 12 features and a target label (i.e. TRUE/FALSE). The dataset is in a CSV file ...
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2answers
63 views

Why applying the same test to several hypotheses reduces its rejection power?

UPDATE: after more study on the subject, I noticed that I didn't have a good grasp on the difference between $p$-value and significance. In particular in the last portion of the question I use the ...
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42 views

Anomaly Detection: Pattern Recognition inTime Series

I am trying to implement an anomaly detection tool based on Pattern Recognition. The data I am working on are periodic.I extract the pattern from a training set and then compare it to data in the ...
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2answers
85 views

Text Pattern Recognition - Model building using R

I have a training dataset which has two columns which has around 70 values. “PNRNo” whose values like UT767G, CADA, 4I9I59, 4BH5TW…(typical PNR number patterns) I have created one more factor ...
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76 views

pattern recognition in spatial data in R

I am currently working on telemetry data for the wild animals. I have extracted their paths over the map. I have also calculated the angular movement per activity. In my dataset I am given with the ...
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How many samples do I need for OCR problems?

I am thinking about collecting samples of hand written digits (0 to 9) from people. I'll try to test different algorithms for optimal character recognition- some form of neural network and random ...
2
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1answer
60 views

Classifying sequences of handwritten digits

What's the best approach for recognising a sequence of handwritten digits? EDIT: By this I mean a program that might, for example, take this image as input, and output: 123. Initial idea: Separate ...
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1answer
18 views

Finding a different pattern from the determined pattern

I have set the determined set of pattern that is like this (0.12,0.14,1.00,0.1,1.82), and I want to figure out whether 1000 other sets of 5 points follow the same pattern as the above (which is ...
0
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1answer
18 views

Value of support in frequent pattern matching

I'm working with an extremely small & sparse dataset (~20k lines of transaction data) where about 92% of the lines contain a single item and the remaining 8% contain between 2 and 7 items. I want ...
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1answer
39 views

Pattern Recognition - Visualizing Dense Data Points

I have a sample of around 5000 data (2D) points that are generated through a simulation of a cryptocurrency's mining events of following form. In column 2 one can see identical y-values with ...
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87 views

Problem with backpropagation algorithm for Feedforward Neural Networks

The objective When trying to exercise my knowledge of Feedforward Neural Networks, I started implementing one. The result is here. The final goal is to predict some handwritten digits data I have. ...
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130 views

How do I use Hidden Markov Model Viterbi algorithm for sequence labeling?

with my current small experience of HMM. Given that i have some patterns (sequence of interest for example gestures or words in spoken language) if i need to use HMM for sequence classification ...
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299 views

C++ Pattern Matching with FFT cross-correlation (Images) [closed]

Hello everyone I am trying to implement patter matching with FFT (cross-correlation) (I am using this https://www.cs.uaf.edu/2007/spring/cs481/lecture/03_29_fft_image.html as reference) The idea of my ...
4
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2answers
81 views

Analyze trend given a set of points

Suppose I have a set of N values representing EUR/USD rate... [ 1.10 , 1.20 , 1.25, 1.20, 1.19 ] Which is the simplest way for analyzing if values tend to raise or tend to fall? I'm looking for a ...
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13 views

Touch times to authenticate user

for a project I gathered touch data of different users when they tap a rhythm repeatedly on the touch screen in a game. ...
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2answers
223 views

How to model the problem of predicting failure in Server Clusters

The problem goes as follows - There is a cluster of Servers. Whenever there is failure/anomaly in any of the server, a report is logged. Some of the features of the log report are Time of Failure ...
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61 views

Finding patterns within inconsistent data

If I have a database full of data sets that I collected from a material sample going through light sensors. Each sample is similar but the data can be inconsistent depending on many factors. I ...
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65 views

How can I train HMM for continuous sign language recognition?

Currently I can recognize isolated words using HMM (Hidden Markov Model) through training an HMM model for each sign, and for a new word I take the sign for the model giving the highest likelihood. ...