How to extract the features by using Deep Learning?

More Satish Kumar Mallappa's questions See All

How to do Document image binarization using Deep Learning or CNN??

Greetings to all, i am working on a camera based document image analysis, i need help in pre-processing step that is binarization for color document images. can anyone tell me how to do a...

10 November 2018 2,263 3 View

Is it useful to Combine of many features to extract features?

Greetings to All, I am working on camera captured document image analysis. i have studied some paper on features extraction from combination of two or more texture features. Now i wish to...

02 March 2018 327 6 View

Extracting Scripts from Multi-lingual document images?

Greetings to all, I am working on Multi-lingual script identification, for this i need to know how to extract the scripts from document image which contains bi-lingual, tri-lingual or...

09 October 2017 2,797 0 View

Journal publication time

04 May 2017 8,548 0 View

What are the features of LBP?

01 February 2017 2,485 0 View

How can i make features learning to my image?

01 January 1970 5,036 9 View

Why should we choose deep learning to machine learning? Why is CNN better for image classification? Can I get Typical Answer?

What Characteristics makes CNN work better?

03 March 2021 1,458 4 View

What are some of the research gaps in machine learning and artificial intelligence in africa?

i would to know some of the research gaps in the artificial intelligence field in most african countries.

03 March 2021 6,145 3 View

What is your perception on using visual analysis or quantitative approaches to evaluate data from single-case research designs (n of 1 trials)?

Results of single-case research designs (i.e., n-of-1 trials) are often evaluated by visually inspecting the time-series graph and computing quantitative indices. A question our research team is...

03 March 2021 687 1 View

Anyone plz suggest relevant topic for research in image processing+Deep learning.?

I have selected brain tumor images ...but now found that already lots of research done n this topic.

03 March 2021 5,774 3 View

How to increase a model accuracy ?

dear community, my model is based feature extraction from non stationary signals using discrete Wavelet Transform and then using statistical features then machine learning classifiers in order to...

03 March 2021 6,994 5 View

Can you share me how teacher education is managed in your respective national educational system?

I feel that the practice in teacher education in my country is below the expected performance level due to very poor management system. Hope I will learn something from your experiences.

02 March 2021 1,516 4 View

Can NFL theorem be valid in infinite search space in ML?

NFL theorem is valid for algorithms training in fixed training set. However, the general characteristic of algorithms in expanded or open dataset has not been proved yet. Could you show your...

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What is the difference between L1 and L2 regularization in machine learning?

L1 and L2 regularization

28 February 2021 4,187 3 View

How to eliminate Steady state error from Reinforcement learning genetic algorithm code?

The following code (see 1st 2 images attached) is used to produce PID controller values that are designed to control the system (G). The code finds the PID controller values (noted as k) by using...

28 February 2021 6,560 14 View

Is there any Machine Learning/AI algorithm that lets you predict with incomplete features without missing value imputation process?

For instance, the model is trained with A,B,C,D,E features to predict F target. Then, I want to make prediction on a new data, but with only A,C,D,E is known without doing missing value imputation...

28 February 2021 1,556 6 View

Priti Maheshwary

in Matlab image processing toolbox, different feature extractors like color space, histogram, gabor, GLCM is given you can use it directly as functions are given in it.

Satish Kumar Mallappa

Thanks for reply Priti, i know those functions but i need the deep learning method to extract features.

Jie Xie

In the following link: http://www.vlfeat.org/index.html. There is a Matlab deep learning toolbox. There is a detailed tutorial. You can extract features by yourself.

Alexey Solovey

The common way to deliver high-level features maybe using CNN solutions. But if you need the "names" of you high-level features it maybe difficult.

The common NN sequential architecture is Conv->Conv->Pool->Conv->...Flatten->Dense->Dense->Softmax

thanks for the suggestion Alexey Solovey, but " The common NN sequential architecture is Conv->Conv->Pool->Conv->...Flatten->Dense->Dense->Softmax " sorry i didn't got this thing if possible can you pls explain me in detail

To extract high-level features you possibly can use "Convolutional Neural Network" - https://en.wikipedia.org/wiki/Convolutional_neural_network.

Here is a github example for "cats" recognition based on VGG16 network:

https://gist.github.com/baraldilorenzo/07d7802847aaad0a35d3

Azhar Imran

Satish Kumar Mallappa I think manual extraction of features for deep learning algorithms are not good enough:-

Most deep learning models use just a simple transformation like gray-scale or cropping before feeding into the model. That is considered the elegance/beauty of deep learning that it can learn which features are useful, and which are not given enough data.

Thanks for the answer Azhar Imran, as you said cropping the image before feeding into the model. at this point i got an confusion related cropped image. As i got dataset of word images of different languages. In which some images have two,three,four and some are in five characters in that image. How cropped image gives the best result. in images some are having two and some are having 5 characters. if we cropped of 5 characters word image, then is it gives the meaning.