University of Cambridge > Talks.cam > Microsoft Research Machine Learning and Perception Seminars > Strategies for General Recognition

  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

ℹ️ Information

Strategies for General Recognition

Download to your calendar using vCal

If you have a question about this talk, please contact Microsoft Research Cambridge Talks Admins .

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

One of the major challenges in computer vision is general recognition, the ability to infer useful properties of objects within sight. It’s a slippery problem whose solution depends on the details of a particular situation—what do I want to know, what kind of object, how similar to those I have seen before. I’ll present the work from my group over the past few years on how to organize and infer knowledge of objects, with a focus on generalizing to new types of objects, providing details, and learning models of parts. I will highlight some lessons learned and also point to problems uncovered.

This talk is part of the Microsoft Research Machine Learning and Perception Seminars series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Museum of Archaeology & Anthropology Electrical Engineering, Department of Engineering - CGC Seminar Room, 9 JJ Thomson Avenue, Cambridge, CB3 0FA Room S1, Alison Richard Building, 7 West Rd, Cambridge CB3 9DT

Other talks

Why people with schizophrenia die earlier? Mortality and accelerated ageing  Life, death, and the discovery of PDAR: the Pol II Degradation-dependent Apoptotic Response  Spectral theory for Dirac operators with singular potentials Group Work CSAR lecture: 46&: Development of a probiotic that supports the natural removal of forever chemicals from the body Title to be confirmed
 

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