If your project is a on human legacy, deep features can quantify abstract concepts:
: Run the DFS algorithm to output a new "feature matrix" containing these high-level, multi-layered insights. Applications for "What We Leave Behind" What We Leave Behind
: Using Deep Feature Factorization (DFF) , you can localize similar themes across a collection of images or memories to find common threads in what is left behind. If your project is a on human legacy,
: By applying mathematical functions to time-series data, you can create features that predict how quickly certain "left behind" artifacts lose relevance or visibility. What We Leave Behind
: A deep feature could aggregate the frequency and variety of digital interactions over time to measure the "weight" of a person's digital remains.