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A General Architecture for
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List of Figures
A simple HMM where the only observations are
j
,
k
, or
l
A unit
A typical feedforward neural network
Recurrent neural network architecture
Dynamic time warping
Temporal mismatches
The relationship between channels, frames and streams.
An example of a stream from the sign recognition domain with the label
come
.
General architecture for training
General architecture for testing
An example of a piecewise line approximation to some real data
Event extraction algorithm
Parameter space and clustering for Blues and Reds domain.
Rules for telling blues and reds apart.
K-Means algorithm
Parameter space with all classes
Parameter space with
come
class only
An example illustrating how the confidence estimate can be made
Decision tree produced for
come
Mohammed Waleed Kadous
Tue Oct 6 13:04:40 EST 1998