Machine Learning Meetings and Events
Group Meetings: Group meetings are held Mondays from 11am to Noon (talk starts 11:10am) in D.L. Pratt 290C unless otherwise noted. Meetings are coordinated by Hugo Larochelle.
Tea Talks: Tea talks are held every Wednesday at 4:00pm in D.L. Pratt 290C. Talks should be simple, accessible, and not exceed 15 minutes. Speakers bring snacks, make tea, and provide a copy of the presented paper.
Group Meeting Nov 3, 2008: Deep componential models for human motion
- Speaker: Graham Taylor
- Abstract:
I will present a class of generative models for high-dimensional time series. The first key property of these models is that they have a distributed, or “componential” latent state, which is characterized by binary stochastic variables which interact to explain the data. The second key property of these models is the nonlinear relationship between latent state and observations, based on an undirected graphical model. A final thread running through this work is the idea of deep, hierarchical representations. This is based on the idea that undirected models can form the building-blocks of deep networks by greedy unsupervised learning, one layer at a time. This work focuses on data captured from human motion (mocap). I will demonstrate how a single model can capture the regularities of different types and styles of motion. If time permits, I will show some preliminary results applying our models as a prior for tracking people in video.
Joint work with Geoffrey Hinton and Sam Roweis