Attention! Beginners, Theory: Challenging terms and Methods for Facial Features Recognition
Author(s): Surya Govind Originally published on Towards AI. Theory Explained ( Computer Vision ): Pattern recognition ( Facial Recognition ) with Challenges and possible methods Image by newsroom.cisco.com from Laurence Cruz Energy-saving tip folk: Better start with OpenCV-C++/ Python, https://docs.opencv.org/2.4/modules/contrib/doc/facerec/facerec_tutorial.html is a …
How My Team of Undergrads Won a Data Science Competition for Graduate and Ph.D. Students
Author(s): Brandon Walker Originally published on Towards AI. The Challenge Statement Top highlight I think there are a few secrets to success in data science that I uncovered while doing the Texas A&M Institute of Data Science’s Competition. I’ll outline my experience …
EfficientDet: When Object Detection Meets Scalability and Efficiency
Author(s): Aniket Maurya Originally published on Towards AI. EfficientDet, a highly efficient and scalable state of the art object detection model developed by Google Research, Brain Team. It is not just a single model. It has a family of detectors which achieve …
Attention Beginners! Powerful Exposure of Eye Gaze Tracking Procedure
Author(s): Surya Govind Originally published on Towards AI. Explanation of the Existing system and steps required for eye gaze estimation Image from bdtechtalks.com by Ben Dickson. For your convenience, I have added a few importnt explanation links for the concepts that are …
Titanic Challenge — Machine Learning for Disaster Recovery — Part 2
Author(s): Bindhu Balu Originally published on Towards AI. Source: Pxfuel Part-2 — Predictive Model Building Code Location: https://github.com/BindhuVinodh/Titanic—Predictive-Model-Building II — Feature engineering In the previous part, we flirted with the data and spotted some interesting correlations. In this part, we’ll see how …
![[2019-CVPR] D2-Net: Matching Problem among Images Under Extreme Appearance Changes](https://miro.medium.com/v2/resize:fit:1800/1*YTRPXUakFV6cA92PwHYjbw.png "[2019-CVPR] D2-Net: Matching Problem among Images Under Extreme Appearance Changes")
[2019-CVPR] D2-Net: Matching Problem among Images Under Extreme Appearance Changes
Author(s): YoonwooJeong Originally published on Towards AI. Using computer vision on a dome. This article is based on the paper ‘D2-Net: A Trainable CNN for Joint Description and Detection of Local Features,’ which is published in 2019-CVPR. For further read, refer https://arxiv.org/pdf/1905.03561.pdf …
How Neuroscience and AI Play Politics with our Brains
Author(s): Dr. Adam Hart Originally published on Towards AI. © Seanbatty courtesy Pixabay “Why should you buy the computational theory of the mind? Because it has solved millennia-old problems in philosophy, kicked off the computer revolution, posed the significant questions of neuroscience, …
Will Your Education Pay You Well?
Author(s): Harsh Darji Originally published on Towards AI. Wage analysis using Random Forest https://pixabay.com/photos/woman-adult-people-money-3261425/ Wage analysis is a process of comparing the salaries based on the attributes attached to the employee. Of course, there are several factors like the company, location which …
Sentiment Prediction of Google Play Store Reviews with Tensorflow 2.0
Author(s): Juan Manuel Ciro Torres Originally published on Towards AI. Photo by Austin Distel on Unsplash How to train your own algorithm to classify the sentiment of the reviews of your app from scratch You spend hours and hours creating your app, …
How AI and ML are Turning the Mobile App Development Industry into a Smart Industry?
Author(s): Sophia Martin Originally published on Towards AI. Is it right to call Artificial Intelligence (AI) and Machine Learning (ML), a future technology for developing new-age applications? Why not! So, here can we assume that we have been entering into a new …
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