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SVM using Scikit-Learn in Python

July 27, 2018 By Kushashwa Ravi Shrimali 3 Comments

SVM with scikit-learn

This post explains the implementation of Support Vector Machines (SVMs) using Scikit-Learn library in Python. We had discussed the math-less details ...

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Filed Under: Machine Learning Tagged With: classification, Grid Search, Kernel Trick, Parameter Tuning, Python, scikit-learn, Support Vector Machine, SVM

GOTURN : Deep Learning based Object Tracking

July 22, 2018 By Satya Mallick 16 Comments

GOTURN : Deep Learning based Object Tracker

In this post, we will learn about a Deep Learning based object tracking algorithm called GOTURN. The original implementation of GOTURN is in Caffe, ...

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Filed Under: Deep Learning, how-to, Machine Learning, Tracking Tagged With: C++, CNN, GOTURN, object tracking, OpenCV 3, Python

Support Vector Machines (SVM)

July 11, 2018 By Satya Mallick 8 Comments

Support Vector Machine

Ideas in Machine Learning have a "winner takes all" quality. When an idea takes off, it dominates the field so completely that one tends to believe it ...

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Filed Under: Machine Learning, Theory Tagged With: classification, Kernel Trick, Radial Basis Function, Support Vector Machine, SVM

Image Quality Assessment : BRISQUE

June 20, 2018 By Kushashwa Ravi Shrimali 23 Comments

brisque iqa feature

Photography is the favorite hobby of millions of people around the world. After all, how difficult can it be! In the words of Diane Arbus, a famous ...

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Filed Under: how-to, Machine Learning, Tutorial Tagged With: brisque, feature descriptor, image quality, Support Vector Machine

Face Reconstruction using EigenFaces (C++/Python)

January 26, 2018 By Satya Mallick 5 Comments

Face Reconstruction using EigenFaces

In this post, we will learn how to reconstruct a face using EigenFaces. This post is written for beginners. If you don't know about Principal ...

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Filed Under: Application, Face, Machine Learning, Tutorial Tagged With: EigenFace, PCA, Principal Component Analysis

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In 2007, right after finishing my Ph.D., I co-founded TAAZ Inc. with my advisor Dr. David Kriegman and Kevin Barnes. The scalability, and robustness of our computer vision and machine learning algorithms have been put to rigorous test by more than 100M users who have tried our products. Read More…

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