Supervised learning: Matlab handwritten digit recognition using Adaptive Boosting Algorithm

Completed Posted 7 years ago Paid on delivery
Completed Paid on delivery

Write a MATLAB function for feature extraction and classification of handwritten digits using MNIST data, and readers for the MNIST data. Adaboost M2 algorithm should be used. PM for more info

Machine Learning (ML) Matlab and Mathematica

Project ID: #12017815

About the project

5 proposals Remote project Active 7 years ago

Awarded to:

sahilpanjwani

Hello. I possess Masters in Computer Science with a specialization in Machine Learning. I have worked extensively with Matlab, especially for image processing. I'm new to freelancer.com and am looking to build my portf More

$30 USD in 3 days
(2 Reviews)
2.2

5 freelancers are bidding on average $144 for this job

aminariaz

sir i can help u with this project i have done masters in computer engg with specilization in image processing and pattern recognition this is a dummy bid i can give u an exact estimate after we discuss the project hop More

$166 USD in 3 days
(102 Reviews)
6.1
DanielVizcaya91

Hello there, my name is Daniel and I would love to help you out with this project. I have worked before with the MNIST dataset before, in matlab, so I know I can deliver a high quality code for you. As you can check on More

$199 USD in 3 days
(17 Reviews)
5.0
Valuesolutions

Hello, how are you? I hope you have a bright day/evening from your side. I have read the details provided, but please contact me so that we can discuss more on the project. I believe I have the required skills in this More

$147 USD in 3 days
(10 Reviews)
4.3