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

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Finding best neural network structure using optimization algorithms and cross-validation

I'm using optimization algorithm to find best structure+inputs of a patternnet neural network in MATLAB R2014a using ...
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28 views

Find linear subsets in a 2D point (xy) data [duplicate]

My problem is the very idea of how to start the analysis of 2D point patterns, specifically how to find linear trends within their spatial pattern. I have XY data points which are organized like in ...
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1answer
18 views

Supervised Pattern Recognition with Probabilistic Labels

I am interested in supervised pattern recognition problems where the the label associated with each pattern gives the probability of membership for each of the $c$ classes, rather than assigning each ...
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22 views

breakpoint analyses on multiple series: how to detect common points

I have 20 time series that span the same period (100 days each), from 4 species sampled at 5 different location. I made a loop to perform a breakpoint analysis on all of them, resulting in 0 to 3 ...
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1answer
49 views

detect line in geocoordinates

I have repeated samples of geocoordinates of activities in a city. In most of these samples positions will simply be random. In some samples, however, some percentage of the data will be arranged -- ...
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32 views

Order and similarity measurement

Let's say I have 10 different groups, and each group has its own string sequence. So, it should be like: ...
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262 views

Pattern mining on a small data set

I have a small data set 30 features/predictors and 30 observations. My target variable is Oil production and my predictors are well & reservoir properties (depth, trajectory, temperature, pressure ...
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36 views

Neural-Net style pattern recognition with an unknown/varying number of inputs?

Say for example I had a weighted graph such that each node had an associated value. The nodes' values are given by some function of the edge weights and the number of edges as well as the node's ...
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24 views

Walking recognition

I have walking samples from 20 different people. My aim is to detect which walking samples are from which person. I'm trying to achieve this by extracting "walking cycles" from each person's dataset ...
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96 views

detect line in scatter

I have repeated samples from the following process: Most samples will only contain points that are randomly distributed on a 2-dimensional plane. Sometimes, however, the sample will contain not only ...
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17 views

how to handle occlusion for face recognition?

If there some occlusion on face (such as sunglasses, mask, scarf), the recognition rate will decrease steeply? How to handle this case? I have do a survey, the PCA reconstruction method have been ...
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31 views

Anomaly detection of web browsing sequences

Please consider that I'm quite new to machine learning. I need to create models based on browsing patterns of web users and find deviations from that model. I'm using web server access log files. For ...
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1answer
16 views

missing value patterns

I am doing some data preparation with Python using Pandas and I am working with a dataset that has about 80 variables with missing values and I want to capture any patterns of missingness to cut down ...
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27 views

How many features to overfit the classification?

Recently, I have got some 'strange' comments from the reviewer of my paper. In my paper, I discussed a novel feature extraction method, and then I compared three classification methods for my binary ...
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58 views

Recognition of simple patterns and prediction

I have been doing supervised learning and classification with multilayer perceptron for some time. But now I need to use unsupervised learning to infer the presence of a pattern and I would need some ...
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27 views

Conceptual question on image pattern representation

I have a basic question regarding pattern learning, or pattern representation. Assume I have a complex pattern of this form, could you please provide me with some research directions or concepts that ...
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0answers
30 views

What is the simplest way to classify airplan manuvers?

Suppose we have declared four motion types for air-plane. If we represent each maneuver with a trajectory line, what is the best classification method to retrieve the trajectory pattern with a similar ...
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26 views

visualize the naive bayes with k-fold cv

I have done the classification using naive Bayes as a classifier, and applied 10-fold CV.I know that I can get the mean and variance of the result. However, how can I plot the classifier performance? ...
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19 views

Benchmarking model in speech recognition with different language

My supervisor asked me to benchmark my method in classifying speech signal with other language. I am doing Malay language speech recognition. To benchmark my method/feature used, I need to test ...
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36 views

Multiple Discriminant Analysis, Linear Discriminant Analysis, and Multidimensional scaling - how are they related?

Some time ago when I took a Pattern Classification class, the "concept" was introduced as Multiple Discriminant Analysis: You want to project your data onto a subspace (if you are interested in ...
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48 views

Testing a 2D point cloud for banana shape

I have many point clouds of a small size (say <200 points) in 2D. Some of them are isotropic and can be modelled as a single point. Others are elongated and curved so that they can reasonably be ...
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22 views

How Sensitive Are Neural Networks?

CrossPost: https://stackoverflow.com/questions/24301472/how-sensitive-are-ff-neural-networks I am aware of pruning, and am not sure if it removes the actual neuron or makes its weight zero, but I am ...
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24 views

Recognize spatio-temporal patterns correlating with events

I am trying to recognize a spatio-temporal pattern in my spatio-temporal input sequence X. The occurrence of the pattern is roughly temporally correlated with another event E1. For example I have ...
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17 views

Time series pattern identification - SVD/SSA?

I've looked over other posts regarding time series data, and am unsure if the mentioned methods would apply to what I'm trying to do, since I'm not familiar with pattern analysis methods: I have time ...
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1answer
43 views

Having a Neural Network recreate what it's learned

I've created a basic Neural Network that learns from basic information and can verify whether or not a piece of information matches it's parameters from a match percentage. Conceptually however, I ...
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1answer
76 views

Finding all largest sequences

What would be a good / efficient algorithm or approach to find all the largest sequences within a list of chains with varying lengths? For instance these chains: ...
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24 views

How can you use HMMs and ANNs for on-line handwriting recognition?

I've asked this question on cs.stackexchange before. It has a 20-hours remaining bounty there. On-line handwriting recognition is the task of converting a series of $(x(t),y(t))$ coordinates to ...
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30 views

HIdden Markov model training Baum Welch, concavity log likelihood

Hi i'm developing an hidden markov model algorithm training with multiple sequences. The recognition rate is good but i have doubts about the shape of the curve of log likelihood obtained from the ...
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32 views

Subtracting mahalanobis distance in one direction from total

Sincere appologies for what may be a stupid question, I'm new to pattern recognition and have exhausted all the textbooks which are aproachable to a beginner. I have substantially reworded this post ...
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2answers
85 views

Does fastICA require PCA to run at first?

I reviewed an application based paper saying that applying PCA before applying ICA (using fastICA package). My question is that does ICA (fastICA) requires PCA to run at first? This paper mentioned ...
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1answer
40 views

Image vectorization in matlab

I need to convert images into vectors (image vectorization). I have 165 images in total, divided into 15 subjects of 11 images each. Following is code i have written to convert images into vectors. ...
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2answers
177 views

Confused about sensitivity, specificity and area under ROC curve (AUC)

Just read a unpublished paper for review purpose. The reported results like Leave-one-out cross validation sensitivity is 95%. Leave-one-out cross validation specificity is 100%. Leave-one-out cross ...
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1answer
42 views

Face Recognition approach DCT features

Face Recognition approach based on entropy estimate of the nonlinear DCT features proposes to use maximum entropy estimate of the DCT of the pixels. My question is maximizing entropy would mean ...
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32 views

Time series image data classification / video image classification

I am working on classifying video frames into two classes, positive and negative. e.g. if a particular pattern appears in a frame that frame will be classified into positive, otherwise negative. But ...
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27 views

Smart application of transformations in digit recognition

So I'm working on some machine learning code to recognize the digits 0-9 using singular value decomposition, followed by a least squares comparison with the first 15 or so singular vectors as my ...
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31 views

Methods for temporal patterns extraction

For example a video or series of images, or usage patterns data on a website, or a univariate time series, is there some flexible methods for extracting patterns of any length, such as head ...
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2answers
88 views

Comparison of close data sets

I'm studying around 100 sets of temperature ($N_{sample}=500$), which depends $4$ explicative variables such as power or speed. The dependency is always the same in each set, but sometimes the mean ...
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1answer
40 views

Which type neural networks for time series classification

I would like to use neural networks to classification of time series ( I have some Patterns and I want to adjust input time series to an appropriate class) -ist it possible to do this job with ...
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73 views

What's wrong with my Kernel algorithm (Kernel SVD)?

I have a user-item matrix $A$ as data input, which is a sparse matrix containing a large number of missing values (as zeros). Each row is a user, and each column is an item. Generally, I am conducting ...
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136 views

What are the advantages of kernel PCA over PCA?

I want to implement an algorithm in a paper which uses Kernel SVD to decompose a data matrix. So I have been reading materials about Kernel methods and kernel PCA etc. But it still is very obscure to ...
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102 views

Is it OK to increase validation checks and decrease min gradient while training neural network?

My input vector is a 130*85 matrix and my target vector is 130*26 matrix. I am using the below parameters for training the network with 60 hidden nodes. ...
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36 views

Use PCA for pattern recognition

I have always used PCA as a preprocessing techniques. There are some people that use it for pattern recognition. Once I used pca to project my data in a 2 dimensional space and then I observed that ...
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41 views

How to calculate false accept and reject rates in pattern recognition?

I am working on a vein pattern recognition project based on SURF algorithm and Euclidean distance. I have completed my program to find the maximum and minimum distance between vein features and find a ...
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37 views

Given 3 discriminant functions I was able to classify 2D patterns, but how do I plot decision boundaries via matplotlib?

I have implemented the discriminant function and was able to classify the 2D patterns (via Python), but I have troubles thinking about an approach to plot the decision boundaries. Hope anyone has an ...
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1answer
146 views

How to define the maximum k of the kNN classifier?

I am trying to use kNN classifier to perform some supervised learning. In order to find the best number of 'k' of kNN, I used cross validation. For example, the following codes load some Matlab ...
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1answer
60 views

Cascade Combination of Kernel Functions

I have a question regarding machine learning and specifically kernel functions. Suppose we have a Kernel function, say $K(x)$, and also another distinct one, say $K'(x)$. I want to know is $K(K'(x))$ ...
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32 views

Measuring the standard deviation in Pattern recognition

Sometimes in pattern recognition say Character recognition, Hamming distance is used although there are other distance measures. But if the pattern is represented in (1,0,-1) then Hamming distance is ...
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52 views

Linear Discriminant Analysis matrix dimension

I am trying to implement Linear Discriminant Analysis for face recognition. I have 3 classes and each classes have 10 image each. The dimension of matrix in class A, B and C is 10*500 .So each row ...
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45 views

Within scatter matrix linear discriminant analysis

I am trying to implement Linear Discriminant Analysis. I have 10 classes and each class has 3 observations at various instances: ...
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67 views

anomaly detection on logs data

I wonder , if someone know the open source anomaly detection algorithm on computer log ? For an example , computer log look like as mentioned below : "value UL-CCCH-Message ::= { integrityCheckInfo { ...