LFM Insights | Sumble

What is LFM?

LFM (Latent Feature Mapping) is a technology that aims to map high-dimensional data (like images or text) into a lower-dimensional latent space while preserving important relationships and features. It is often used in recommendation systems, dimensionality reduction, and feature learning. The goal is to uncover hidden patterns and structure within the data, allowing for more efficient processing, visualization, and analysis.

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What other technologies are related to LFM?

LFM Complementary Technologies

ReCap

ReCap is a reality capture and 3D scanning software. LFM also works with point clouds derived from laser scans. Hence ReCap is complementary because it helps in creating the point cloud data that LFM uses.

mentioned alongside LFM in 3% (59) of relevant job posts

Navisworks

Navisworks is a project review software for AEC projects. It allows for model aggregation, clash detection, and 4D simulation. LFM can be used to create models of existing conditions that can then be brought into Navisworks for clash detection against new designs, making them complementary.

mentioned alongside LFM in 0% (75) of relevant job posts