How to use mahout's SVM for graph classification? I dont find any link to download it on mahout's site. Also should I go for sequential or linear SVM in this scenario? Appreciate any help on this.
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I am using weka for classification.
If I use Naive Bayes for classification of datasets, how can I see the backend code of the naive bayes algorithm in weka??
Is there any way??
Weka is open source, so you can see their code at their repository as stated in their website. The naive bayes part is here
I don't have much knowledge about it but there is a way to use a sparse autoencoder in Weka? At this time, I've just used MPLAutoencoder and don't have certain if I can configure it for sparsing too. Thank you.
I've asked the author of MPLAutoencoder and there isn't an implementation of a sparse autoencoder in Weka yet.
I have been using MALLET for sometime now and I want to train the data using the SVM classifier. Is there a way I can get SVM on MALLET. I followed the instructions at SVM on MALLET but it didn't help much. Thank you in advance.
I am trying to train an adaboost classifier using the openCV library, for visual pedestrian detection.
I've come across the notion that adaboost allows the selection of the most relevant features, meaning, if I harvest 50.000 features from images and then use them to train a classifier, in the end of the training process I would be able to select, for example, the best 2000 out of those 50.000.
Then, this would allow me to harvest only those 2000 during the actual process for the sake of speed.
Is this even true? Or am I falling in a misconception?
If true,, is it possible to be done using the openCV library?
Best regards
Yes, this is true. That's exactly what boosting is all about.
Please, check the OpenCV documentation about training a cascade of boosted classifiers.
I can't find any information about Data used for training Haar classifiers in OpenCV. I want to know what kind of, how many and how(manually or via program) these classifiers were generated.
You can find these classifier's xml files in ..OpenCV2.3.1\opencv\data\haarcascades.. directory. Thanks
this research paper contains the answer
Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object
Detection by Dr Rainer Lienhart
thanks guys for the help...