Labeling of line drawings by constraint satisfaction as a fusion of machine learning and rules
Introduction
Labeling of image information can be achieved by various machine learning approaches, as describ...
画像認識技術
Overview of Conditional Generative Models (Conditional Generative Models) and Examples of Implementation
Conditional Generative Models
Conditional Generative Models, a type of generative model, is a model that ha...
Overview of structural learning and various applications and implementations
Structural Learning
Structural Learning (Structural Learning) is a branch of machine learning that refers ...
Overview of the topic model and various implementations
Topic Model Overview
The topic model will be a statistical model for automatically extracting topics (them...
Overview of Siamese Networks, algorithms and implementation examples
Overview of Siamese Networks
A Siamese Network is a model architecture consisting of two (or more) identical ...
Data anonymisation technology
Information confidentiality technology
Data Anonymisation technology (Data Anonymisation) is an approach used ...
Overview of One-Shot Learning, Algorithm and Implementation Examples
Overview
One-shot learning is a learning approach designed for situations where only one training exa...
Overview of Zero-Shot Learning, Algorithm and Implementation Examples
Overview
Zero-Shot Learning (ZSL) is a machine learning approach that enables models to classify or m...
OpenPose Overview, Algorithm and Implementation Examples
Overview of OpenPose
OpenPose is a real-time human posture detection library developed by Carnegie Mellon Uni...
Overview of ECO (Efficient Convolution Network for Online Video Understanding), its algorithms and implementation examples
Overview of ECO(Efficient Convolution Network for Online Video Understanding)
Efficient Convolutional Network...