is a system of grouping objects of study or observation in accordance with their common features. The classification problem is a formalized task in which a set of objects (cases), separated in some way to classes.

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Common spatial patterns explanation

Can anyone provide a lay explanation of what common spatial patterns are designed to do in EEG/BCI work? From what I understand, it is similar to PCA in that given 2 classes, it attempts to find a ...
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1answer
28 views

How to use ImageNet Database in Matlab [closed]

How to use ImageNet Database in Matlab for object classification or recognition? I didn't find any tutorial which could practically tell me how to train images on ImageNet database and classify the ...
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4answers
124 views

What kind of features can I extract from this signal

I want to monitor (automatic-)gearbox failures on some vehicles. For each vehicle I have a captured signal representing the selected gear at each one millisecond. An example of two signals are shown ...
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25 views

difference between CSP and LDA

I don't understand what is the difference between linear discremenant analysis and common spatial patterns techniques. Both of them is based on seperating the data of each class according to their ...
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2answers
49 views

Finding filaments in high dimensional space

I have unit vectors in a high-dimensional space (~300) that are non-uniformly distributed over this hypersphere. There is physical meaning when the vectors are clustered together, but I'm ...
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3answers
63 views

What is a good way to distinguish aircraft noise from other sounds?

The FAA's NextGen routes, which were modeled, not measured, have created a bunch of aircraft noise for tens of thousands of people. I want to make it easy for those people (including me) to buy a ...
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2answers
51 views

Can software distinguish between different musical instruments

If possible, I would like to write a little script that can identify different musical instruments from just a recording. Apart from variations of amplitude and frequency over time (which can be ...
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1answer
58 views

How to emulate human sound recognition

A person can recognise a large variety of sounds and fairly subtle differences in sound, even if they have only heard the sound once. Is it possible to recreate this with software, and how? ...
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69 views

How to determine the order from Auto-Regressive model in Matlab?

I have time series vibration signal recorded for 10 seconds. I segmented the vibration signal into a number of frames. I need to use an Auto-regressive model for this signal. AR model is used to ...
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2answers
93 views

How can I classifying this License Plate images? Matlab , LPR ,

I want to perform automatic character recognition on licence plates. One of my preprocessing step is binarization. However I have four different class of images and I have to use a different automatic ...
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0answers
177 views

Feature Extraction from Accelerometers for classification

I am looking into algorithms/techniques for feature extraction for accelerometer data - to then be used in classification. FFT is incredibly popular, however would this work on accelerometer data? ...
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39 views

How to use weka for multiclass classification with intersection kernel?

Can anyone please explain to me how to use weka for multiclass classification with histogram intersection kernel.I need to classify bike,car and flower images.
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1answer
25 views

What is the official definition of a feature in signal classification?

Nowadays read any paper or reference on signal classification scheme you would invariably come across the term "feature". What does feature mean exactly? What is considered a time domain feature, what ...
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3answers
124 views

Need critical help: How to detect and distinguish two very similar looking signals?

Hi guys I have a really tough signal processing question here. How do you detect and distinguish two very very similar looking waves? I need to distinguish between these two signals for an online ...
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1answer
75 views

Classification from a feature vector

I'm quite new to this; I'm try to classify textures as defective or non-defective. I've used a Gabor filter bank with Matlab which outputs a column vector of the Gabor features of an image. I have a ...
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3answers
353 views

What are characteristics of shadows in an image given an outdoor setting from an image processing point of view?

I'm wondering what basic characteristics of shadows are. I'm looking from a camera image/video processing point of view. I'm considering the case of an outside scene in direct sunlight. These are the ...
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0answers
21 views

Classification of shadow border points in an image

I'm working on a problem concerning the classification of features (Fast features in my case) on shadow borders in an image. I would like to discriminate features on shadow borders from all other ...
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0answers
29 views

Isolated word classification using LDA

I would like to do a project on speech processing. How can I classify isolated word using linear discriminant analysis for my speaker recognition project.
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22 views

Common Spatial Patterns importance

The Algorithm Common spatial pattern, is used very frequently in EEG signal processing , and it's based on the idea of maximize variance of one class , and minimize the variance the other class , ...
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1answer
36 views

Pyramid Match Kernel: How to fit grid around data points?

I am planning to use Pyramid Match Kernel method for object recognition from depth images: I am going to extract a set of feature vectors $x \in \mathbb{R}^d$ for each object instance and then I want ...
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27 views

Good color distance metric for classifying color pairs

I have some two tone origami paper. This particular paper comes in six types, each with a different pair of colors. Here's an image that shows all six: Given a picture of one of these sheets, I ...
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38 views

Outlier removal before or after Kalman filtering?

I am getting radar data points in form of (x,y) coordinate system relative to my position every ms.[around 10-15 data points]. Now, inorder to have better position estimate of the points, I would like ...
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1answer
58 views

Classifying animated GIFs as animation or film

Is there any known way of differentiating between frames of real footage and animated content? It seems like there's probably range of colors more likely to appear in a histogram for real footage, or ...
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0answers
30 views

Useful features for classifying color images

I have two sets of images. In one set, the background and foreground differs significantly in color (either background is dark and foreground is light or vice versa). What would be some useful ...
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1answer
36 views

Binary classification of grayscale image with little texture

I want to carry out a binary classification/segmentation on a grayscale image with very little texture. The only prior knowledge that's supposed to be available is that the object of interest is ...
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0answers
25 views

Fixed-length training data from variable-length signals for dictionary learning

My question relates to the topic of dictionary learning for 1-D signal classification. In a nutshell, I have a training dataset of N signals that belong to one of two classes, and I want to find a ...
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2answers
179 views

How to classify accelerometer data?

I am trying to detect if a car did accelerate or did brake by using the accelerometer of the iPhone. In the figure below I plotted the collected data. (To collect the data the phone was laying flat ...
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1answer
43 views

How to choose the number of codewords in bag of words model

In the bag of words model, generally is it better to have more codewords or less? For example, if I have 1000 x 20 raw features, then what would be good value for codebooks? I am thinking of smaller ...
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32 views

Comparing two signal outputs from two clients on a networked computer game to identify lag

Basically, I'm running a server and two clients of the Unreal Engine and trying to figure out if there is lag in player movement on one of the clients (the clients are different in way that's not ...
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1answer
1k views

Feature extraction for sound classification

I'm trying to extract features from a sound file and classify the sound as belonging to a particular category (eg : dog bark, vehicle engine e.t.c). I'd like some clarity on the following things : 1) ...
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1answer
69 views

Missing Data in Machine Learning Classification

I have a training set of 4000 for ML with 36 features, two-class classifier. -But consider that due to some discrepancy feature no. 25 is missing for half of the data. But during data ...
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0answers
87 views

OpenCV: Is NormalBayesClassifier::train function running ok?

I am have the code from here. I have changed the images with some of my own and I have seen that SVM is not working. That is not a problem because I have found on ...
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2answers
269 views

Using ICA on EEG signals for feature extraction

I am attempting to use ICA (FastICA via scikit-learn) on EEG signals from seven electrodes per subject for feature extraction and identity classification – that is to extract signal which is related ...
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3answers
2k views

Best way to remove unwanted region from image

I am finding the techniques to remove unwanted regions (small dots) from image. I have an image that includes object and some unwanted region (small dots- see first image). I want to remove it. Hence, ...
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1answer
134 views

What Matlab Classifiers to use

I'm currently trying to decide what classifier to use for my snore detection algorithm. Which uses some features like Zero cross rating, frequency band energy, first formants... The classifiers which ...
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3answers
143 views

What does natural scene image data-set mean?

I came across a paper that is trying to classify and detect object(s) present in what they call a natural scene data-set. They have images containing objects like cars, bikes and people. Can anyone ...
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51 views

Frequency contour cross-correlation

I'm trying to segment (or extract) different calls from a spectrogram. My current method, calculates a threshold value (variance) and then using RMS can detect voiced/unvoiced signals: $$ Thres = (1 ...
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2answers
152 views

what is the output of BoW after an image has been trained with SIFT algorithm and k-means

SIFT algorithm provides a 128 dimensional feature vector that is used for image classification.When all the interest points(key points) are taken together and K-means clustering is applied,the image ...
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3answers
361 views

Detection of wobbling sound with rising notes

In an audio file I would like to find calls of a specific bird specie, one that makes wobbling sound with rising notes. Can you recommend what would be the best audio feature to calculate in time or ...
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2answers
50 views

What's a good classification algorithm for a large amount of classes?

My requirements are these: Fast classification of vectors of length 100 to one of 30000 classes Iterative learning (can improve the model after it was first learnt) Preferably available ...
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2answers
181 views

Guidance/Brainstorming for a mapping/classification problem

I'm quite new to machine learning/data mining and I'm struggling to find the correct path for my problem and would appreciate some guidance or criticism of my proposed solution i.e. is there a ...
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1answer
94 views

Music/Speech Classification: How are frame based features used in a feature vector?

I'm a little confused on how frame based high dimensional features such as mfcc's and bfcc's are applied in the classification of musical instruments. Are statistical measures of the features used ...
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3answers
202 views

What is the standard way to handle images of different sizes for classification?

I'd like to create an image classifier that takes a set of labeled images and creates a classifier to be used on some unknown images. Most of the examples I see assume all images are the same size (m ...
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2answers
1k views

Mahalanobis vs Normalization+Euclidean

I'm using a set of features extracted from a signal for classifying the data window with KNN algorithm. Since the features have different value ranges, their influence on distance calculation is ...
3
votes
3answers
243 views

Low recognition rates using GMM for image classification

I want to use GMM for image classification. So, I have extracted SIFT features from each image in the corpus. Then, I apply EM algorithm to learn GMM parameters (I have coded it in matlab). I get ...
6
votes
1answer
145 views

Vehicle segmentation and tracking

I've been working on a project for some time, to detect and track vehicles in video captured from UAV's, currently I am using an SVM trained on bag-of-feature representations of local features ...
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1answer
195 views

Object Classification using pyramid match kernel

I have been reading up on the pyramid match kernel as an alternative to using the bag-of-words model for object classification using a SVM. The bag-of-words model provides a model for transforming a ...
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0answers
150 views

Evaluation of Keypoint Detector and Feature Descriptor Combos for Vehicle Detection

I am currently doing a research project into the effectiveness of different keypoint detector and feature descriptor combinations for the task of vehicle detection. At the moment I am using a SVM for ...
2
votes
1answer
89 views

Classifying 2D shapes by the smoothness of their boundaries

I'm doing image analysis, and I want to classify smooth objects (has smooth boundaries) from non-smooth objects (has zigzag-like boundaries). Which feature should be fed into ML framework? What are ...
3
votes
1answer
143 views

Recognizing hand-written archaeological signs

I have 75 images of handwritten signs from which I extracted 7 Hu moments and solidity features. How can I find similarities among them to train a classifier and predict the value? I thought SVM was a ...