In machine learning, this is the process of selecting a subset of most relevant features to construction your data model.
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14 views
Feature selection using PCA
Data set consists of N elements and K variables. Using PCA I can reduce the number of variables, but how to check which from K of variables provided the most informations?
For example I have data set ...
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0answers
9 views
How can HOG be used to detect individual body parts
Information:
I would like to use OpenCV's HOG detection to identify the various body parts of a human (ie be able to identify the Upper Arm, Lower Arm, Chest, Hips, Upper Leg, Lower Leg, Feet/Shoes). ...
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2answers
46 views
Identify the limbs of a human in an image [closed]
Information:
I am looking to identify the limbs of a human in an image. For the sake of simplicity, one can assume that the Image has been filtered of all background and that only the Human is ...
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1answer
84 views
Classification using R in a data set with numeric and categorical variables
I'm working on a very big data-set.(csv)
The data set is composed from both numeric and categorical columns.
One of the columns is my "target column" , meaning i want to use the other columns to ...
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1answer
25 views
Classification of new instances in weka
In our training set, we performed feature selection (ex. CfsSubsetEval GreedyStepwise) and then classified the instances using a classifier (ex. J48). We have saved the model Weka created.
Now, we ...
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1answer
40 views
fetch the selected variables in 'step' method in R
I am removing unnecessary/spurious variables from my data using 'step' function. I am using the folloeing code:
state.x77
st = as.data.frame(state.x77)
colnames(st)[4] = "Life.Exp" # no ...
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3answers
128 views
How are feature_importances in RandomForestClassifier determined?
I have a classification task with a time-series as the data input, where each attribute (n=23) represents a specific point in time. Besides the absolute classification result I would like to find out, ...
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0answers
13 views
Categorical Proportional Difference thrown off by “one-off” words?
I'm trying out different feature selectors for an email classification piece of AI (spam or nonspam?). When I got to Categorical Proportional Difference (herein CPD), I thought sweet, sounds like ...
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1answer
80 views
Text classification with neural network
Can someone tell me how can I classify some text messages using neural network.?
Is there any examples? how do I preprocess text messages to train the neural network?
Thanks
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1answer
22 views
SVM LibSVM Ignore Feature 1,3,5 when Predicting
this question is about LibSVM or SVMs in general.
I wonder if it is possible to categorize Feature-Vectors of different length with the same SVM Model.
Let's say we train the SVM with about 1000 ...
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1answer
36 views
Feature selection for multilabel classification (scikit-learn)
I'm trying to do a feature selection by chi-square method in scikit-learn (sklearn.feature_selection.SelectKBest). When I'm trying to apply this to a multilabel problem, I get this warning:
...
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0answers
83 views
How to combine two features (two minimum distance classifiers)
Hello All with my first post here,
I work on tracking objects through images without prior training. I use two features, the color of the region (the ab channels of the Lab space) and the HOG. In my ...
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40 views
Optimal Resolution and Training Set for Feature Based Image Recognition
I am again curious.
I am using Android NDK with OpenCV which allowed me to set up pretty robust environment to test out different binary algorithms such as BRIEF, BRISK, FREAK and ORB. My problem ...
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0answers
14 views
Exists a weighted image classifier? A way to give a weight to the features? [closed]
Exists a weighted image classifier? A way to give a weight to most important features ?
I have to do it "manually before classification step? SVM is a good option?
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2answers
75 views
Difference between PCA (Principal Component Analysis) and Feature Selection
What is the difference between Principal Component Analysis (PCA) and Feature Selection in Machine Learning? Is PCA a means of feature selection?
