2012 JMLR JMLR 2012

DARWIN: A Framework for Machine Learning and Computer Vision Research and Development

Abstract

We present an open-source platform-independent C++ framework for machine learning and computer vision research. The framework includes a wide range of standard machine learning and graphical models algorithms as well as reference implementations for many machine learning and computer vision applications. The framework contains Matlab wrappers for core components of the library and an experimental graphical user interface for developing and visualizing machine learning data flows. [abs] [ pdf ][ bib ] [ code ] © JMLR 2012. (edit, beta)

🌉 Interdisciplinary Bridge — Artificial Intelligence and Machine Learning
📈 Trend Setter — Foundation Models
🧭 Keyword Pioneer — machine learning framework
🐣 Hot Topic Early Bird — computer vision
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy

Authors