University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Inference from Evolving Populations: Agriculture

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

Inference from Evolving Populations: Agriculture

Download to your calendar using vCal

If you have a question about this talk, please contact INI IT .

TGMW89 - Unlocking Data Streams

Inferring properties about time-evolving populations is a widespread problem, yet a non-standard machine learning task. Most existing machine learning models can either handle a static snapshot of a population or a single trajectory. In this talk I will present a generic framework, based on the expected signature which enables to compactly summarize a cloud of time series and make decisions on it. I will discuss an application in agricultural monitoring, where a key challenge is to predict the yield before harvest using a collection of time series acquired by satellite-sensors.

This talk is part of the Isaac Newton Institute Seminar Series series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Department of Pharmacology, Tennis Court Road, Cambridge. first floor Castlereagh Room, Fisher Building, St John's College, Cambridge

Other talks

TBC Advances in Label-Free High-Resolution Molecular Imaging using J Series III Cluster SIMS Scattering Plenty: the people who made the modern countryside Using Light for Cancer Detection Reproducibility In Astrophysical Simulations: The AGORA Initiative and a 14-Year Human Experiment (In Memory of Joel Primack) Morning Break
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity