Skip to content
#

feature-extraction

Here are 1,797 public repositories matching this topic...

Face Recognition on NIST FRVT Top Ranked ,Face Liveness Detection Engine on iBeta 2 Certified, 3D Face Anti Spoofing, Face Detection, Face Matching, Face Analysis, Face Sentiment, Face Alignment, Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution on Android

  • Updated Oct 15, 2024
  • Kotlin

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

  • Updated Jan 21, 2022

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

  • Updated Jun 19, 2024
  • Jupyter Notebook

A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: ) 跨平台的视频结构化(视频分析)框架,觉得有帮助的请给个星星 : )

  • Updated Aug 27, 2024
  • C++

Improve this page

Add a description, image, and links to the feature-extraction topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the feature-extraction topic, visit your repo's landing page and select "manage topics."

Learn more