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Action-Reaction Learning: Analysis and
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Contents
List of Figures
Behaviour Hierarchy
Offline: Learning from Human Interaction
Online: Interaction with Single User
Dialog Interaction and Analysis Window
Head and Hand Blob Tracking
Time Series Data of a 3 Blobs (1 User)
Graphical Rendering of Perceptual Measurements)
Training the System Perceptually)
Top 60 Eigenvalues in
Y
-space
First Eigenvector of Past Interaction
Exponential Decay and Pre-Processing
Eigenspace Properties for
Simple Discriminative Model - Complex Generative Model
Large Input Data, Small Output Estimation
Distracting Features
The Graphical Models
A Parabolic Bound on an Arbitrary Function
Bound Maximization Convergence
Gradient Ascent
2nd Order Approximations
Bounding the logarithm
Extending arbitrary sinusoids
Bounding the Logarithm
Mixture of 3 Gaussians
Look-Up Table and Example Mean Parabolic Bound
Look-Up Table and Example Mean Piece-Wise Parabolic Bound
Look-Up Table for Covariance Bound
Covariance Bounding Examples
4 Gaussian Data to Model with 2 Gaussians
Global and Typical
ML
c
Estimate using CEM
Inferior Local
ML
c
Estimate using CEM
ML
Estimate using EM
Constraints on Joint Density
Arg Maximization
Conditional Log-Likelihood on Training Data
Training Mode
Prediction Mode
Interaction Mode
Perceptual Mode
Simulation Mode
Conditional Log Likelihood on ARL Data
Scare Interaction
Waving Interaction
Clapping Interaction
3D Face Modeling and Tracking
2D Mixture Model
Joint Density Estimate
Conditioned Joint Density Estimate
Direct Conditional Density Estimate
Slices of
p
(
y
|
x
)
j
and
p
(
y
|
x
)
c
at
x
= -5
Inconsistency in the Bayesian Inferences
Tony Jebara
1999-09-15